A Study of Knowledge Management Challenges in Project Management
A Study of Knowledge Management Challenges in Project Management
A Study of Knowledge Management Challenges in Project Management
Student
Umeå School of Business
Autumn semester 2010
Master thesis, 15 hp
Institution: Umea School of Business, Umea University
Rosemary Otieno
14 January, 2011
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ABSTRACT
Our research basically aims to explore, examine and illustrate both knowledge
management and project management interrelationship, in the context of incubators. It
provides with a conceptual model, which depicts the contribution and correlation of
project management, organisational knowledge management and project specific
knowledge management. Based on the observation and analysis of the empirical data
collected using the IT knowledge-based risks model as our methodological framework,
it was found that incubators do not share the same knowledge management challenges
as IT companies. Combining the conceptual model derived from the findings of
literature review, and the methodological framework, we developed a new model
representing knowledge management challenges in the management of start-up projects
within incubators. Out of ten challenges observed in the IT sector, our research finds
eight main challenges in incubators that are related to knowledge management.
According to the perceptions of the interviewees chosen from a sample of three
incubators in Sweden, the main challenges are (i) handling business coach exit, (ii)
communicating lessons learned, (iii) creating knowledge map, (iv) establishing
knowledge network, (v) selecting appropriate team, (vi) storing knowledge from
previous projects, (vii) integrating different expertise and (viii) transferring complete
knowledge. Each of the mentioned challenges was placed in each of the three domains
defined in the conceptual model, in order to accentuate the domain it directly affects or
is mostly affected by.
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DEDICATION
To my dearest mum and siblings, I love you very much! I look forward to seeing you
soon.
Rosemary Otieno
To my dearest grandmother, who was impatiently waiting for me and worrying about
my study during all these 17 months.
Ani Karapetyan
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ACKNOWLEDGEMENT
We thank the Almighty God for His grace and blessings throughout this Masters
Programme.
First, we sincerely thank our supervisor, Dr. Andreas Nilsson for his support, advice,
and guidance. His relentless help during the tedious process of thesis writing and
willingness to listen and provide prompt feedback led to the successful completion of
this thesis.
We also extend our sincere thanks to Dr. Blaize Reich of Simon Fraser University
(Canada) for her invaluable input and advice towards the empirical design of the study.
We are grateful to the six respondents from the three business incubators in Umea, who
took their time to participate in our interview. Your responses to our questions made
this study possible. Thank you all.
We would also like to thank members of the academic and support staff from Umea
University (Sweden), Politecnico di Milano (Italy) and Heriot-Watt University (UK).
We are grateful to the Course Directors Prof. Tomas Blomquist, Prof. Antonio
Calabrese and Mr. Amos Haniff.
Finally, we wish to express our utmost gratitude to the European Union for their
generous support to undertake this Masters Programme through the Erasmus Mundus
Scholarship. This has been a life-time opportunity and unforgettable experience that
will forever be cherished.
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TABLE OF CONTENTS
ABSTRACT III
DEDICATION IV
ACKNOWLEDGEMENT V
CHAPTER 1: INTRODUCTION 1
3.1 INTRODUCTION 25
3.2 THE METHODOLOGICAL FRAMEWORK – REICH‟S IT KNOWLEDGE-BASED RISKS MODEL 25
3.3 RESEARCH PHILOSOPHY 27
3.4 RESEARCH STRATEGY 28
3.5 RESEARCH TYPES 29
3.6 RESEARCH DESIGN 29
3.7 DATA COLLECTION METHODS 30
3.8 JUSTIFICATION OF THE SAMPLING SIZE AND UNIT OF ANALYSIS 30
3.9 SAMPLING METHOD 30
3.10 DESCRIPTION OF THE PRINCIPLES OF THE INTERVIEW 30
3.11 ETHICAL CONSIDERATIONS 31
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CHAPTER 4: EMPIRICAL DATA AND GENERAL FINDINGS 33
4.1 INTRODUCTION 33
4.2 DESCRIPTION OF THE INCUBATORS 33
4.3 BACKGROUND DATA 35
4.4 KNOWLEDGE MANAGEMENT CHALLENGES IN THE PROJECT ENVIRONMENT 37
5.1 INTRODUCTION 54
5.2 GENERAL PERCEPTIONS OF THE MAIN CONCEPTS 54
5.3 KM PRACTICES OBSERVED IN THE INCUBATORS 55
5.4 ANALYSIS OF THE CONCEPTUAL MODEL 56
5.4.1 Organisational Knowledge Management 57
5.4.2 Project Management in Incubators 59
5.4.3 Project Knowledge Management 61
5.5 NEW PROPOSED MODEL FOR KM CHALLENGES IN MANAGEMENT OF START-UP PROJECTS 61
6.1 INTRODUCTION 66
6.2 CONCLUSION 66
6.3 RECOMMENDATIONS 68
6.4 CONTRIBUTIONS OF THE STUDY 69
6.5 LIMITATIONS OF THE STUDY 69
6.6 AREAS FOR FURTHER RESEARCH 70
REFERENCES 71
APPENDICES 76
LIST OF FIGURES
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LIST OF TABLES
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CHAPTER 1: INTRODUCTION
The first chapter sets in motion the general introduction to the research study. After that,
research objectives and research questions that guide the entire study are outlined. Next,
it highlights the basic definitions of main concepts that are significant to the study.
Finally, the chapter concludes by outlining the overall structure of the whole study.
In order to help us understand KM challenges in PM, the incubator firms were selected
as the source of empirical data because they represent a set of projects (start-ups)
requiring knowledge-intensive approach. Despite the high importance of both fields to
the incubators, the area is still under-researched. The empirical questions for this study
were drawn upon an IT knowledge-based risk model recently developed for a research
work on „managing knowledge and learning in IT projects‟. The research aimed to
create a framework to map knowledge-based risks that are common to IT projects and
provide practical guidelines and practices for the identified risks. Although the research
examined the IT sector, this study exclusively explores the business incubator industry
where KM challenges in PM have not been given much attention. As Sauer and Reich
(2007) noted, the foundations of PM as a knowledge field remain under-researched, yet
there is a growing trend and influences of PM against other management disciplines
(Bredillet, 2007). Past researches conducted in incubators have focussed mainly on
single disciplines, for example, knowledge management, innovation, entrepreneurial,
amongst others.
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Besides, incubators represent a big interest for knowledge management study, as they
encompass vast fields of knowledge and diverse KM mechanisms that can be deployed
in order to create, disseminate and utilise the appropriate knowledge and competence
within the clients who wish to start a new business. The researchers were able to find
only one previous study combining KM and PM in the incubator context, but mainly
focused on the role of PM models as accelerators of innovation.
In order to support our study, the model developed by systematic literature review and
practical exploration in IT projects by Reich (2007) is utilised as our methodological
framework for collecting and analysing data. The model clearly links KM and PM, and
also depicts the knowledge management challenges facing IT projects. Thus, the model
provides a relevant basis for our empirical study. As the importance of knowledge is
high in IT sector and Incubators, the verification and detection of knowledge-based
challenges in both sectors represents a great value for the organisations and their clients.
The investigation of the IT model within the incubator field will reveal similarities and
differences of the project management approaches in these knowledge intensive
industries, as well as will complement or modify the IT model providing a useful
guidance for effective management of start-up projects in incubators.
The key research objective has further been subdivided into three sub-objectives:
i) To study KM challenges in project management
ii) To validate the IT knowledge-based model in the incubator industry
iii) To identify KM challenges in start-up projects in the incubators
The main research question has also been subdivided into three sub-research questions:
i) What are the KM challenges in project management?
ii) Does the IT knowledge-based model fit the incubator industry?
iii) What are the KM challenges in start-up projects of the incubators?
1.4.1 Knowledge
According to Saarenketo et al., (2009), knowledge is an ambiguous phenomenon and
has a plethora of definitions. They view knowledge as a distinctive factor of production
besides land, capital and labour; knowledge has a significant impact on productivity,
innovation and product development. The distinctive nature of knowledge is also due to
two aspects: tacit and explicit knowledge. Tacit knowledge is defined as informal skills
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embedded in individuals which are difficult to articulate or transfer, while explicit
knowledge are formal skills which can easily be communicated and transferred (Nonaka
and Takeuchi, 1995). Other working definitions come from Davenport and Prusak
(1998, p.5) who define knowledge as “a fluid mix of framed experience, values and
contextual information” that provides a structure for assessing and integrating new
experiences in the organization. Baker et al., (1997) defines knowledge as a set of skills,
capabilities, experiences and information that individuals apply to solve problems.
1.4.3 Project
Project Management Institute (PMI, 2004, p.4) defines a project as “a temporary
endeavour undertaken to create a unique product or service”. A temporary endeavour
means that a project has defined goals, start date and end date. Early definition of
projects comes from Gaddis (1959, cited in Soderlund, 2004, p.185) who defined a
project as “an organizational unit dedicated to the attainment of a goal….generally the
successful completion of a developmental product on time, within budget, and in
conformance with predetermined performance specifications”.
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space provides a conducive environment for socializing and sharing of knowledge with
other entrepreneurs.
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Figure 1: Organization of the Study
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CHAPTER 2: LITERATURE REVIEW
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various forms of cooperation and working together are constantly growing (Hanisch et
al., 2009). However, given that projects are temporary endeavours and unique in nature,
they are considered to be different from the standard organizational processes. As Ajmal
and Koskinen (2008) noted, the mounting complexity of project work means that an
increasing number of technical and social relationships need to be taken into
consideration in adapting knowledge and experiences from the daily work of an
organization and from earlier projects. Therefore, management of knowledge in
temporary organizations is seen to be vital competitive factor (ibid). In the two fields of
study, that is, KM and PM, vast amount of research have been conducted from the
perspective of specific disciplines or particular business formations but, not much
theoretical and empirical work has been done to combine both areas and explore the
management of knowledge in project environments (Love et al., 2005). Therefore,
further insights are needed to help understand the linkages and contributions of
knowledge management in project management. Thus, the research question developed
to guide our literature review is: What are the knowledge management challenges in
project management?
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Figure 2: Structure of the Literature Review
Other related developments in KM were presented by authors such as, Davenport and
Prusak in 1998. They advocated for a clear distinction between data, information and
knowledge in their seminal paper on working knowledge. They argued for a more
holistic view of knowledge management from the socio-technical theory. However, they
caution that their school of thought tend to be too prescriptive because it ignores the
environment in which the organization operates (Grant, 1999).
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workers (employees) in their everyday work. The economic school basically create
revenue for the firm through exploitation of explicit knowledge, and other intangible
assets like patents and copyrights. The behavioural school is more oriented towards the
behavioural aspects of management which requires organizations to be proactive in
creating, sharing and using knowledge.
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The third view was developed by Firestone and McElroy in 2002, although some of
their views had been presented earlier by McElroy (2000) in his work on „The New
Knowledge Management‟. Their first view on the First generation KM is based on the
„supply-side‟, meaning there was an active participation by the knowledge suppliers and
knowledge distributors. They note that the First generation KM was mainly composed
of knowledge sharing activities. Secondly, they view the Second generation KM to have
began in the mid 1990s and was focussed on both „supply-side‟ or knowledge sharing
and „demand-side‟ or knowledge making. They point out that the defining characteristic
of the Second generation KM was the “combined focus on knowledge integration and
knowledge production” (Firestone and McElroy, 2002, p.2). Notably, however,
Firestone and McElroy did not discuss or propose a third view on the Third generation
KM. Also, they did not mention reference date for the First generation KM.
Based on the analysis of the proponents‟ views, it is difficult to conclude whether KM
theory is still in the Second generation or has moved onto the Third generation.
Moreover, the lack of clear reference dates makes it hard to point neither the beginning
nor the end of one generation from the other.
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business opportunities in the global markets. The table below summarizes major
development in PM.
All the different views of project management represent the heterogeneity of projects
and the necessity of application of different tools and techniques. Depending on which
school suits best to the project requirements, appropriate PM approach is chosen. The
correspondent metaphors help to gain in-depth understanding of organisational and
project needs (Bredillet, 2007). In case of organisational change, projects should be
matched to new metaphors and new conceptual knowledge base should be applied. Each
of these schools combines different perspectives of knowledge creation and knowledge
use processes.
Table 3 below summarizes the major findings, the project metaphors, key ideas of each
school, period of occurrence and unit of analysis of the nine schools of thought.
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Table 3: Summary of the nine schools of PM thought
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and ultimately utilised. Most of the research is made on tacit knowledge issues, as well
as on tools to support KM.
In the context of PM, there is a big challenge to handle the fast-paced growing demand
and highly turbulent and complex environment. Hence “acting in complex situations
involves “modelling to understand”, that is, to do ingeniously” (Le Moigne 2003, cited
in Bredillet 2010, p.15). In the contemporary project environment the implementation
goes simultaneously with the learning process, which includes gaining information,
creation and sharing of tacit and explicit knowledge, identification of key units of
analysis and parameters, as well as understanding of the context and relevant change
conditions (Bredillet, 2010). Most of the models built for KM mainly focuses on one of
the knowledge units, or the importance of the interconnections between them, as well as
different facets of knowledge (Yang et al., 2009).
Knowledge Creation Model
The authors, Nonaka and Takeuchi, were the first ones who looked at knowledge in a
more philosophical way. Pragmatic and technical considerations about KM were
complemented by the need to understand what was happening with organisational
knowing, reasoning and learning (Dalkir, 2005). They constructed a model which
makes possible to „express inexpressible‟ (Nonaka, 1991). The model describes the
knowledge creation process in five steps – sharing tacit knowledge, creating concepts,
justifying the concepts, building an archetype and cross-levelling the knowledge
(Nonaka and Takeuchi, 1995; von Krogh et al., 2000). The model suggests that
knowledge creation is a spiral process going from socialisation (direct experience) to
externalisation (linking explicit knowledge), then to combination (learning by doing)
and to internalisation (field building) - SECI process (Dalkir, 2005).
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Socialization (From Tacit to Tacit knowledge): Socialization is described as the process
of sharing tacit knowledge with another person through direct experience (Nonaka,
1991). The direct experiences involve elements such as observation, imitation and
practice. Fong (2005, p.46) notes that socialization is “a valuable mode of sharing
knowledge in teams without language through imitation, observation and sharing
experiences face to face.”
There are also other prominent KM models such as Learning with Knowledge (LK)
Cycle model, I-Space model, 4 I Framework for Learning and others, that are briefly
described below.
The Wiig Model (for building and using knowledge)
Wiig KM model helps to apply appropriate approach of managing knowledge according
to knowledge type. As Dalkir (2005) pointed out, the key principle of this model is that
knowledge must be organised according to the following Domains: completeness (how
much knowledge is available), connectedness (identified relations between knowledge
objects), congruence (consistency of knowledge between objects) and perspective and
purpose (knowledge from specific point of view or objectives).
According to the author, Wiig Model improves Nonaka‟s SECI model, by proposing
different levels of internalisation that are presented in the table below.
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Table 4: Wiig Model - Degrees of Internalisation
Source: Dalkir (2005, p.64)
The model also distinguished three types of knowledge: public (explicit and published),
shared expertise (privately possessed and shared in the work) and personal (more
complete and implicit, used unconsciously) (Dalkir, 2005).
Learning with Knowledge Cycle model
This model is widely used in the knowledge intensive companies where personal
knowledge is encouraged to be expressed (articulated) and used according to others‟
own knowledge base (internalisation) (Rowley, 2001). The author stated that this model
captures social structure as well as the system view on the knowledge management
process within the organisation. It also accentuates the interrelation of knowledge and
learning. The model is represented in a cyclic way as the process constantly goes forth
and back. Also, it‟s applicable for tacit and explicit knowledge (Yang et al., 2009).
Rowley (2001) pointed out following processes within the cycle:
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The I-Space model
This model provides with a mechanism to explain the knowledge creation within an
information space (Yang et al., 2009). It also helps to understand how the knowledge is
handled (Canals, 2002, cited in Casillas-Santillan, 2005). Boisot's I-Space model can be
illustrated as a 3 Dimensional cube with the following Domains: (i) Codified-
Uncodified, (ii) Abstract-Concrete and (iii) Diffused-Undiffused.
Yang et al., (2003) explains codification refers to how expressible the knowledge is
through language or other tool. In case of non-codified knowledge the transfer depends
on the inner abilities of the person (Yang et al, 2003). The abstraction according to the
author depends on how observable the information is. And finally the third Domain,
which is diffusion, is explained as the extent of the availability of the information within
the group. In this way “any knowledge representation can be mapped inside the I-space
through this system” (Boisot et al., 2000, cited in Casillas-Santillan, 2005, p.1).
In conclusion, it‟s worth to say that most of the KM models are useful for broadening
the understanding on KM processes and initiatives, as well as guiding in real life how to
handle the KM challenges that might cause inefficiencies in the whole organisation.
Waterfall
The conventional and the most popular “waterfall” model used for about four decades
represents a progression of project plan moving down (like a waterfall) through stages
(stones) of a project (Fox and Waldt, 2007). “At the end of each stage, the project
moves through a gate, or review process, to the next phase (or from a pool of water
down a waterfall to the next pool of water)” (Schoen et al., 2005, p.4). According to Fox
and Waldt (2007) waterfall model is characterised by universal outline applicable for
any kind of project and is widely used for the standard projects that are well-known for
the team and do not require unique approach. In this model the activities are organised
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using finish-to start logic, where subsequent activity is started only when the previous
one is finished (Perrin, 2008). The author also mentions that the critical feature of the
model is that the project is not delivered to the client step by step. The client receives
the final outcome of the project only when all the activities of the system are
accomplished. Fox and Waldt (2007) represented the following main domains according
to which the phases of waterfall model are separated:
Forced by the needs of changing environment, pure “waterfall” model has gone through
variety of modifications. Those include breaking down of the phases using the same
judgment, but including slightly modified way of implementation. The phases could be
broken down in exactly the same way, however they overlap or at a certain stage the
project is divided into subprojects.
Taking into consideration its relative simplicity, structured and easily understandable
phase distribution and other advantages, this model has major pitfall for handling many
types of projects, which is its inflexibility. Guntamukkala et al., (2006) mentioned about
no loops for feedback and low opportunity for changing customer requirements. Fox
and Waldt (2007) noticed that the project within this model moves linearly through
discrete stages of its life-cycle after „perfectly‟ completing the previous phase, which in
real life is not feasible. Perrin (2008) also stated that the model does not work well
when the mistakes cannot be identified in the beginning and are costly to fix.
Funnel model
The other best-known PM tool is Funnel model created by K. Clark and S. Wheelwright
around two decades ago. This model is widely used for new product development.
Stamm (2008) pointed out that decisions within the model are made from a company-
wide perspective not aimed to individual projects and are aligned to the corporate
strategy. The shape of funnel indicates broader vision and not clear understanding at the
early stages of the project life-cycle and incremental narrowing down towards clear
business plan production at the final stage of the project (Orr, 2004).
Das (2002) described the funnel model applied in the ABB‟s Research & Development
organisation emphasizing following processes:
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Figure 7: ABB’s R&D department Funnel model
Source: Das (2002)
Stamm (2008) also mentioned that many academicians and practitioners argue that
funnel model can be viewed as variation of the waterfall model but giving importance to
generation of vast number of ideas and rapid filtering of them throughout the process of
project progression. The main difference is also seen in the ambiguity of the final
outcome of the project as in the initiation phase the requirements and the way project
will be implemented are not clear.
Spiral model
Spiral model is also based on the waterfall model but is focused mostly on the risk
mitigation (Fox and Waldt, 2007). It implies splitting the project into mini-projects,
which are aimed to reduce the major risks identified in the project. Each subproject is
addressed to one or more major risks and after mitigation of all risks only one or more
additional subprojects are needed to accomplish overall project (Perrin, 2008). In that
phase the project is run using the principles of Waterfall model (Fox and Waldt, 2007).
The authors determined the following six steps included in the cycles of spiral:
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This model is more suitable for high-risk projects, as it allows undertaking risk
mitigation cycles before applying the structured non-risk-based PM models (Fox &
Waldt 2007). Schoen et al., (2005) argues that each cycle is similar to waterfall with its
goals and clarity, though the final deliverable of the project is ambiguous, as the market
requirements are hard to be identified in the early phases. He states that this model is
well applied in the projects where market is important in defining the outcomes of
development cycles. As it involves risk management, the needs of the customers are
determined more clearly with each cycle and ultimately the final project deliverable is
more aimed to meet the market requirements (Schoen et al., 2005). The key principle of
this model is that before each iteration customers reasonably contribute to the formation
of the next cycle.
The proposed model takes into account the extensive time lag between the basic
research and innovation (up to several decades) that are inherent to technological
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incubators. As the author argues, it does not perceive the innovation as linear flow of
knowledge through each phase. In contrast to the other three models neither the final
outcome of the project is clear, nor the process of implementation of it, as it strongly
depends on the market forces. The model clearly illustrates how the results of basic
research become an innovative business idea. The knowledge development through
combination of new and old knowledge might not evolve to innovation if it‟s not
incorporated into a business model. While going through illustrated tornados of
invention, it‟s clearly seen that technology drives the innovation process, however the
market can pull it back, as the customers might not be ready to accept that innovation.
That is why it‟s important to consider the time in these kinds of projects.
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Reich (2007) attempted to integrate all the main ideas from academic and practitioner
literature on KM and PM and created a model. Knowledge is increasingly important and
almost all aspects within the organisation can be explained in knowledge–based terms
using knowledge management concept and models (Reich 2007). She constructed the
model adopting the fundament for it from the three Domains suggested by Rosemann
and Chan (2000, cited in Reich, 2007, p.7) for KM exploration in projects. She chose
the system lifecycle approach leaving the other two; the knowledge lifecycle, and
knowledge content taxonomy domains. Using IT framework input -process - output the
researcher constructed the model initially called Knowledge Traps Model. It illustrates
identified knowledge-based risks in IT projects and graphically depicts the places in IT
project where knowledge and learning issues could impact the success of it. Later on,
this model will be represented as our methodological framework for data collection.
“KM in the context of a project is the application of principles and processes designed
to make relevant knowledge available to the project team. Effective KM facilitates the
creation and integration of knowledge, minimizes knowledge losses, and fills
knowledge gaps throughout the duration of the project” (Reich, 2007, p.8).
The correlation between the two study areas is not always seen as positive. There are
number of theoretical articles and practitioners‟ opinions that depict the conflicting
aspects of the two fields. As the project management focuses on isolated temporary
organisational objectives, mainly on a short-term basis, it can hinder the long-term
vision of the knowledge management practices. The reason for that can be seen as,
knowledge management leads more to realisation of overwhelming long-term goals of
the entire organisation, and intervention of project based initiatives might disrupt the
organisational knowledge management.
Extensive literature reviewed, as well as our own a-priori perception of the topic
manifest that one of the main purposes of start-up projects held in incubators is to invest
the relevant knowledge in their clients (entrepreneurs) in order to operate successfully in
the marketplace. As Branstad (2010) stated in his paper, the responsibilities and
challenges of incubators are centralised in giving access for entrepreneurs to the needed
knowledge. Scillitoe and Chakrabarti (2010) also emphasized knowledge in defining the
incubators as main source of social capital for incubates to offer their knowledge and
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expertise, as well as network of contacts. Gassmann and Becker (2006) also studied
knowledge aspects in incubators identifying two categories of knowledge transfer for
venture projects- tangible and intangible. First one entails such materials as patents,
databases as well as accounting, legal, market research and team building. Intangible
knowledge is represented by advice, coaching for writing business plans, developing
business strategies as well as establishing networks with related companies.
They even classified the incubators according to the knowledge modes used. Viewing
the organisations from knowledge perspective, they distinguished four categories of
mostly tacit knowledge in accordance to corporate incubator types: (i) Entrepreneurial
knowledge flow is mostly needed in a fast-profit incubator, which is meant to offer
funds for not used patents, (ii) organizational knowledge is important for a leveraging
incubator, which commercialises the ventures based on the main technology of the
parent company for further re-integration, (iii) technological knowledge flows mostly
through an in-sourcing incubator, which focuses on obtaining ideas from external
markets in order to be applied by the parent company and (iv) complementary market
knowledge is utilised in a market incubator, which concentrates mainly on secondary
technologies that might affect the market success of the core technology (Becker and
Gassmann, 2006).
As it was postulated by Collinson and Gregson (2003, p.192) “start-up firms are
arguably constrained far more by knowledge limitations than by financial limitations”.
They mentioned that modern field of “knowledge management” studies contribute
significantly in a better understanding of origins and development of ventures.
Especially such knowledge management mechanisms as “knowledge-sharing” and
“knowledge-integration” between and within the companies are considered to be very
important aspects for having in-depth insight in the area of incubation projects. Hughes
(2007) also focused his attention on knowledge and stated that these kinds of projects
are basically aimed to solve the main challenge of new ventures: effective enlargement
of the knowledge for intelligent competition.
Vast theoretic and empirical studies are related to specific knowledge management
practices such as knowledge sharing, knowledge co-production, integration and others.
Knowledge sharing between entrepreneurs is also a significant aspect of knowledge
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management within incubators. It‟s insured and accelerated by providing the
incumbents close localities within the incubator space and by creating favourable
atmosphere for close interaction and sharing of knowledge as well as business contacts
(Totterman and Sten, 2005, cited in Branstad, 2010). Westhead and Batstone (1998,
cited in Aaboen 2009, p. 658) stated “the milieu as a whole that makes innovation
happen rather than the individual firms”. Bergek and Norrman (2008) manifested that
shared space used to situate the entrepreneurs provides with an advantage because of
wider opportunities for knowledge and experience sharing. Inkpen and Tsang (2005,
cited in Aaboen, 2009) also advocated the incubators‟ acceleration of transferring tacit
knowledge because of near allocation and open communication availability.
Knowledge co-production was also discussed in the literature; particularly Rice (2002,
cited in Hughes, 2007) proposed a strategy for getting more benefits from the
incubation. The idea was mainly to facilitate the collaboration between the
entrepreneurs for initiation of new projects rather than merely sharing knowledge and
experience.
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Figure 10: KM Challenges in Project Management
Source: Developed by authors from the literature findings
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CHAPTER 3: RESEARCH METHODOLOGY
3.1 Introduction
This chapter explores the key issues that are significant in the methodology chosen for
our research. It begins by presenting and describing the methodological framework used
for the empirical study. Then it uncovers the fundamental research philosophies relevant
for the study. Next, it describes the research strategy and research design as shaped by
the research question. Further, it details the research types and data collection method
used for the study. After that the practical methodology is outlined. The chapter wrap
ups by discussing the ethical issues related to data collection.
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The brief description of each knowledge based risk in each phase will be presented
bellow.
In the initiation phase, the author identified two knowledge-based risks.
1. Lessons not learned from the previous projects: Project-teams often involve
individuals with no experience in similar projects to the one that is going to be
started. Without this knowledge the team will not be aware of the risks of the
initiated project, as well as will not be able to inform how these risks will affect the
project performance.
2. Team selection flawed: All needed knowledge fields should be included in the
project team. When the team is selected incongruously the project manager will not
be able to identify the collective knowledge of the team and what it lacks.
In the governance of IT projects the author identified two main knowledge based risks
concerning the key positions (project sponsor, project champion, steering committee).
3. Volatility in the Governance Team: The governance structure plays significant
role in knowledge-building procedure of the team. When one of the governance
members leaves, project might lack important knowledge affecting overall
objectives, targets and direction of the project.
4. Lack of Role Knowledge among the Governance Team: There is a risk that
people coordinating the project from high level positions might lack some PM
knowledge which will affect the performance of the project significantly. A newly
involved project sponsor might be confused where to support the project and where
to restrain. From the observation of the author, organisations do not usually train
their executives as project sponsors or project champions which cause many
difficulties for project manager.
In the operational process of IT projects the author identified five main knowledge
based risks.
5. Inadequate knowledge integration: It was identified that integration of
knowledge derived from different experts from various aspects of the organisation
is critical for project success. Knowledge integration assumes creating a new idea
and new knowledge which is bigger than the sum of the knowledge of its cross-
functional members.
6. Incomplete knowledge transfer: There might be a conflict while transferring the
knowledge from a vendor or consultant to the internal project members. The results
of the research proved that capturing as much of intellectual property of vendors as
possible, is important for the project success.
7. Exit of team members: Loss of a team member with a key expertise required for
the project might cause wide gap of collective knowledge-base and critical
disruptions in the project realisation. Long-term projects often face this challenge;
however they often fail to develop some procedures to mitigate these kinds of
problems (Reich 2007).
8. Lack of Knowledge Map: In order to make optimal decisions project managers
and team members need thorough understanding of the knowledge within the team.
26
It‟s especially crucial for large-scale complex projects to create a knowledge map
encompassing the information who knows what, and what knowledge is reachable
for each member.
9. Knowledge Loss between Phases: As in IT projects team members change from
one phase to another, there might occur some flaws in transferring the knowledge to
the next phase. As IT project often deals with artefacts, in some cases technicians or
team members of the next stage miss the information why those artefacts are made
in that specific way. As a result they might move on with a wrong interpretation of
previous decisions made.
One of the most important knowledge based risks at the end of each project is
considered to be failure to learn.
10. Failure to Learn: As the innovations and creativity plays significant role in the
maintenance of the organisational competitive advantage, often lessons learned
from a particular project does not represent as great value as overall competence of
the project manager and organisation to realise projects effectively. Non-complete
awareness of each project failure and success factors and unwillingness of the
project manager to comprehend and transmit lessons learned, prevent the whole
organisation and the team members to develop learning environment.
27
builds up the content of our study from the theoretical model, already established in the
discipline in order to validate or to modify it offering a new theoretical framework.
Ontology, representing the second major branch of research philosophy, captures
broader considerations than epistemology (Saunders et al., 2009). The author describes
it as “assumptions researchers have about the way the world operates and the
commitment held to particular views” (Saunders et al., 2009, p.110). It covers two
separate perspectives: objectivism and subjectivism. Objectivism postulates that “social
entities exist in reality external to social actors”, while subjectivism considers the social
phenomena as the result of perceptions. Even though the observed domains contain vast
number of objectively existent components such as KM system, including the database,
learning materials and other knowledge repositories as well as PM tools, such as
software, prescribed duties and activities, our main subject of investigation deals with
the “social phenomena” which is realised after human interaction within PM and KM
practices and is not existent without the “social actors” (Saunders et al., 2007, p. 108).
As our observed topic assumes continuous reconsideration and modification, like it‟s
described in subjectivism (Saunders et al., 2007, p. 108), due to specific reactions on the
high turbulence of the marketplace and fast-paced development of technology, our
research philosophy is proved to be based on subjectivist foundation.
To sum up, it‟s worth to emphasise that from our epistemological and ontological
position it can be clearly seen, the data collection methodology is raised on the
philosophy which assumes revealing the substances related to individual values,
perceptions, interactions and items that are not existent externally without humans.
Our empirical research aim was to generate as much data as possible from the
respondents using face to face interviews. Qualitative research is able to capture and
generate a wide pool of data in order to draw on new insights. In this way, we are able
to probe our respondents (where necessary) to provide elaborative answers to the
interview questions. Since incubators are knowledge-intensive, getting information
from the respondents requires intensive filtration and collection of the data. Qualitative
research also provides a good tool for the empirical study because at the time of
formulating the research question, the researchers did not have a clear picture of the
research problem in a practical setting. Hence, there was the need to explore all relevant
data that would support the research proceedings to complement the researchers‟ initial
understanding of KM and PM as reviewed from the literature.
28
The research strategy can also be distinguished in the following way: deductive and
inductive. As our research subject focuses on verifying the existing theory created for
one sector (IT companies) in another sector (incubators), the deductive approach was
chosen to fulfil the objective of the study. However the inductive approach was also
applied in order to generate a new theoretical framework that would be more suitable to
the incubator industry than the IT knowledge-based model that we had adopted for the
empirical studies.
29
Other research designs mentioned earlier could not be applied to this study due to the
research focus area.
30
Interview guide (Appendix 1, p.75) was developed based on the methodological
framework provided on page 25 (Figure 11). It was divided into two sections; the first
section contained the background information and second section contained the ten
main questions. The questions were mostly open-ended to persuade the respondent to
provide elaborative answers (Saunders et al., 2009). The questions were prepared in
advance and sent to the respondent once the interview date was confirmed. The
researchers also forwarded to the respondents the introductory letter (Appendix 2, p.77)
briefly explaining the main purpose of the study.
The interviews began with the respondent providing his/her background and career
profile. This was done in order to create a friendly environment and also to understand
the respondent‟s knowledge profile. Thereafter, the interview progressed into the main
questions which were categorized into ten knowledge management challenges as
adapted from the IT model. The conclusion of the interview was marked with two
questions on knowledge management practices in the incubators. All the interviews
were tape-recorded and took between 60mins and 90mins. However, while conducting
interview 4, the researchers encountered technical problems with the tape recorder and
the whole interview was not recorded. As a result, the researchers made handwritten
notes immediately during and after the interview to capture the respondent‟s responses
and to ensure that no valuable information was lost. Below is the summary of the
interviews that were conducted.
The selection of the six respondents was based on the fact that business coaches
constantly interact with the start-up projects leading them from the early stages to
business establishment stage. Business coaches provide coaching skills to the
entrepreneurs while the project managers who also work concurrently as business
coaches, head the incubators and provide management skills needed to coordinate the
project activities. All the incubators represented organizations with flat structure, where
the companies were headed either by the Chief Executive Officer (CEO) and then on the
next level business coaches followed the hierarchy, or by the funding project managers
working concurrently as business coaches.
31
engaged with the incubators, and other researchers who may wish to use the data
generated from this study.
Saunders et al., (ibid) lists a number of ethical issues during data collection using
interview-based techniques;
Avoiding overzealous questions: Pushing your respondents to provide specific
answers to your questions;
Unreasonable interview time: Relates mostly to telephone interviews. Seek
permission for appropriate time of the day which is convenient to your
respondent;
Demeaning questions: Avoid asking degrading or humiliating questions to your
respondents.
32
CHAPTER 4: EMPIRICAL DATA AND GENERAL FINDINGS
4.1 Introduction
This chapter presents the empirical findings of the study. The chapter is structured
according to the interview questions developed from the methodological framework
discussed in chapter three. First, description of the three incubators is provided. This is
followed by a summary of the background information for the respondents. Thereafter
the main arguments are presented and the final empirical results aggregated.
Uminova Innovation has designed a four-phased process which all project ideas go
through at the development process. The four phases include evaluation phase,
verification phase, development phase and commercial phase. The first phase which is
the evaluation phase assesses the suitability of the project idea by examining market
opportunities as well as its strengths and weaknesses. The verification phase re-
evaluates the strengths and weaknesses identified in the earlier phase. Business plans
and short-term goals are developed here. Potential customers are also identified at this
stage. The development phase offers a series of support services to the entrepreneur. At
this stage, the entrepreneur redevelops the business plan, financial plan and marketing
plan. Competencies for the entrepreneur‟s advisory board are identified. The last phase,
the commercial phase involves strengthening the start-up project. The entrepreneur
applies for support funds, develop his team and look for clients. At the end of the
incubation period, the entrepreneur is expected to leave the incubator and establish his
33
company. Currently, Uminova Innovation has a chief executive officer, 14 business
coaches and a number of support staff.
Given that BIC deals with late start-up ideas, its projects do not go through the early
phases of normal start-up projects. Nonetheless, the application process to join the
incubator still exists. The project manager is in-charge of reviewing all applications
before admitting any entrepreneur into the incubator. Submitted project ideas must
comply with BIC requirements. This is followed by intensive interviews where
successful entrepreneurs are invited to join the incubator for a maximum of two years.
All the entrepreneurs work closely with the project manager and the business coach
during the business incubation period. At the end of the two-year period, each start-
project is evaluated and advice provided. Thereafter, a certificate of completion is
issued to the entrepreneurs as „newly born stars‟. Currently, there are 13 start-up
projects ranging from game development, information technology, sales, design,
communication, photography, environment, conference agent and estate agent.
Incubator 3: KRENOVA
The last case was Krenova. Krenova was established in 2008 as a business facility for
helping entrepreneurs from the artistic industry. The main focus for Krenova is to
develop start-up businesses in the creative industry around Umea. Krenova deals with
early ideas that are yet to be translated into business plans. The ideas come from diverse
field of creative art and design such as communication, film making, design,
photography, and computer games. Most of the project ideas originate from art and
design schools, technology schools and cultural practitioners in Umea. Krenova has a
total of three staffs that include the project manager, communication officer and an
advisory consultant.
The application process begins with an entrepreneur submitting his documents. This is
followed by an extensive screening and evaluation of each project idea. At this point,
the project ideas that proceed to the next step must meet three set criteria, otherwise
they are dropped off. The three criteria include: first, the idea must be from the creative
industry. Second, the entrepreneur must possess the right education background. Third,
the entrepreneur must show the motivation to undertake the business challenge. The
34
successful entrepreneurs at this stage are invited for the interview where they explain
their project concepts with the project selection team. Thereafter, each idea is re-
screened by the project team to ensure that only the right project ideas pass through into
the incubator. If selected, the entrepreneur joins Krenova to start the business
development process. Krenova offers a maximum incubation period of one year, after
which the entrepreneur decides either to venture into the market or join other incubator
firms. Each start-up project is expected to manage itself after they have received the
initial training and coaching. A family culture of open communication is embraced by
all entrepreneurs. The entrepreneurs are encouraged to share knowledge and
experiences, and motivate each other. Joint seminars and training programmes are
conducted for entrepreneurs. Business competition challenges are promoted for those
who wish to participate. Currently, Krenova has 14 start-up projects, some of which are
due to „graduate‟ in January 2011.
The organisational hierarchy of the observed incubators were quite flat, as the staff of
all the incubators consisted of mainly business coaches, some of whom were working
concurrently as project leaders of financing projects. A total of six business coaches
were interviewed, half whom were concurrently working as managers of funding
projects, from three different incubators broken down as follows: three interviews from
the first incubator (Uminova Innovation), two interviews from the second incubator
(BIC Factory) and one from the third incubator (Krenova). All of the interviews were
face to face and conducted in a semi-structured way. For the confidentiality purposes
the real names of the respondents are not presented and are substituted with the fictive
ones.
The table below summarizes the general profile of each incubator, the position of the
respondents and their resource profile.
35
Table 6: Summary of the background information on empirical data
Incubator
(I)
General profile of the company Respondent Case № Position General profile of the respondent
Relevant work experience:
5 years
Before was working as
Business Coach- entrepreneur, marketing
Adam 1 manager
Administrator Education: Degree in
Characteristics: For about 40
years the core of occupational therapy &
technological development ergonomics
and establishment of
biotechnological cluster in the Relevant work experience:
region 2 Project manager- 22 years
I1 Main staff: 14 business Aron Business Coach Education: Degree in
coaches and the CEO Business administration
Start-up projects: Yearly Relevant work experience:
around 150 projects mainly in 5 years
life science, IT, healthcare, Before was working as sales
construction out which 30 manager
companies are established Education: Degree in
Axel 3 Business Coach entrepreneurial business
administration;
individual courses in PM,
media and communication
36
4.4 Knowledge management challenges in the project environment
In this section we will briefly describe general insight of respondents concerning each
challenge, after which we will summarise their main arguments in order to do the
evaluation of the relevance of each challenge in the incubator field and its importance
for the venture projects.
Challenge 1: Facing the risk of lessons not learned from the previous projects
1. Adam
Concerning the first challenge the respondent was asked to mention lessons he learned
from previous projects. He could not mention something in particular but each time
while handling the next project he improves the ability of identification of problematic
areas within the project. He said “I can see better and better what is missing, e.g. this
idea does not have the team, this entrepreneur does not have the time”. He specified that
only in some areas the lessons not learnt from the previous project might have big
impact on the overall success of the project. But in overall business, it‟s more important
to know that the market changes very fast, and the ideas 4-5 years ago like Facebook or
Google business models, that could seem not working for all business coaches, might
have great success in the nearest future.
2. Aron
The respondent mentioned that he cannot relay, store or preserve the knowledge from
the previous projects and he is not sure if it can be valuable for 100%. He stated that,
“as the environment is changing, we are shooting on the moving target all the time”.
The main thing they bring to the next project is better understanding of how people
think and work, which is mainly done by communicating and sharing insight on the
outcome and the process of the project among other colleagues (business coaches).
3. Axel
The third respondent emphasised on the explicit knowledge that can be gained through
each project, as he deals with variety of business ideas delivered from different fields of
science. According to him lessons learned from previous projects obviously provides
with an advantage. It helps to run the process of similar projects more smoothly, as he is
aware of barriers and hurdles. He does not transfer the lessons learned on any paper
material. Mostly experience is shared at that moment, making it available to all
employees of the organisation. Usually there are some notes in the 7-Domain model (an
internal model used to evaluate the feasibility of project ideas at the early stages), but
they are confidential, and are not published. That template can be useful, as they can go
back and see which questions were tricky and how were they solved. But the most
important lessons are gained from communication in corridors or during other non
official meetings, when they, business coaches, coach each other.
4. Becka
The respondent noted that she learns from past projects through recording and
documenting project reports. Every three months she makes a report on each start-up
project where some information about the lessons and challenges of the start-ups are
highlighted.
5. Britt
The respondent stated that “….I learn all the time”. She acknowledged that the learning
curve in this business industry is so quick and new things are happening all the time.
37
There is the old knowledge that she needs to teach the young people, for example how
to be on time, how to treat other people and how to make a customer feel good. But
there is also the new knowledge that is developing very fast. The respondent noted that
she brings lessons learnt from the previous projects by using her past project
experiences and listening to what others say. However, she finds it difficult to pinpoint
the things she can perform within the next few months because there is constant change
of events in the incubator industry. Otherwise, they often documents the main issues
learnt from the previous projects.
6. Clara
The respondent noted that she learns many new things from projects all the time. Every
person and project is different and the entrepreneurs bring new experiences, motivation,
and backgrounds. She also learns a lot from colleagues and other entrepreneurs. She
went on and said, “the main thing that I have learnt is to be open…I have learnt how to
sit down and be completely blank and put all my prejudice behind me and listen and
give everyone a fair chance. It‟s very easy to judge….I have learnt not to judge or think
that my way of thinking is the right way or even the opposite way can be your right way
and I do not hold the truth and it‟s never black or white and I do not think that I was
aware of that at the beginning but now I get more flexible”. The respondent
acknowledged that it‟s rather difficult to pinpoint specific lessons she has learnt from
previous projects as everything is in her head and nothing is recorded.
Evaluation
Case № Main arguments (importance,
relevance)
The market is changing rapidly and the business knowledge gained high
through previous projects might not be viable for the next ones. Even
1 though in cases of the knowledge intensive and deeply scientific project,
medium
it might affect the success of the project. low
The environment is constantly changing and each project is aiming to high
reach the target. However, communication between colleagues about the
2 lessons learned is the main part of the organisational culture in the medium
incubator 1. low
high
Lessons learned through dealing with different scientific areas and
3 different obstacles of specific project types, provides with an advantage. medium
low
high
The lessons learned are important and are highlighted in documents of
4 each start-up project report. medium
low
As in the business new things are happening all the time, new knowledge high
should always be gained and developed. Lessons learned from the past
5 are also useful for being able to understand and listen to what medium
entrepreneur says. low
Lessons learned from previous projects involve mainly the tacit high
knowledge of being open without prejudice, as every project is different
6 and each time you deal with new experiences, motivations, and
medium
backgrounds. low
38
Challenge 2: Facing the risk of team selection flawed
1. Adam
The respondent stated that as the incubator has 14 business coaches specialised in
different areas of science, as well as experts in general business knowledge, it‟s always
good to mix them together for each project, as the people from different fields might
answer the questions that one might not know. Nevertheless, during the business coach
meetings, newly entered ideas are often given to business coaches with related or same
background. If there are areas that might not be understandable the other business coach
can join the project team on the part-time basis. Every business coach has contacts and
networks in their area of work. The incubator also has 3 internal consultants to help out.
2. Aron
To the question about team selection and team composition the respondent replied that
in the selection process the researcher has the last word and they select which expertise
to involve in the project. Most of the cases the inventors or researchers are very aware
of the areas that they have to use as external competence. The team is usually
complemented by experts in sales, in order to sell the project. The salesman-
entrepreneur is the general lack that they have within the team. The respondent didn‟t
mention any challenges that might arise from inconsistent team selection, as the
selection exists only for relevant business coaches and consultants. The business
coaches are selected during the meetings according to their area of expertise and the
development route of the start-up (international arena or domestic).
3. Axel
The third respondent from the first incubator also pointed out that they hold regular
business coach meetings, where the incoming business ideas are presented and allocated
to suitable business coaches. He described that mainly two business coaches decide if
the business idea should be selected or not. Later other colleagues can give their opinion
and arguments if they think business idea should be left out. Then they have discussion
for final decision. At the business coach meeting they assign one or two business coach
to particular project. Then it‟s decided who will be the head coach, who will start with
the first introduction of 7-D Model and later on it is decided if other persons should be
involved in the project. The incorrect selection of team members might affect the
project performance, mainly causing loss of time. It happens usually when a new
consultant is included for providing service. Nonetheless, in this case any non-qualified
team member is replaced straight away.
4. Becka
Regarding the question about team selection and the typical expertise involved in a
start-up project the respondent from the second incubator replied that the projects do not
have specific team assigned to them as there is a small number of staff at the incubator.
Nevertheless, the entrepreneurs are supposed to manage themselves. There is a steering
committee that assists the staff to provide support to the start-up companies. Core
competencies of the project staff range from marketing, arts, media and
communications coupled with many years of experience in dealing with start-up
projects. Therefore, the selection process for main members of the project team does not
exist, although the entrepreneurs‟ advisory board is selective. Often it consists of
„graduate companies‟ of the incubator. The respondent gave greater importance to
selection of entrepreneurs and overall project portfolio.
39
5. Britt
Elaboration on the question about typical expertise involved in a start-up project and the
process used to select team members started with description of the project board (team)
consisting of two or three entrepreneur‟s board. The Incubator 2 project board works
like an ordinary board but with no economic responsibility. Usually the entrepreneur‟s
board is composed of team members from the same field whose function is to help the
entrepreneur strengthen his start-up company especially weak areas, for example sales
or marketing. Thus the teams are very personalized to the entrepreneurs needs.
Regarding selection of team members to the entrepreneur‟s board, the incubator staffs
occasionally recommend to the entrepreneurs a team of experts but most often the
entrepreneurs are encouraged to make their own “Dream Board”.
6. Clara
The respondent described the field of competence for each of the three staff at the third
incubator. The respondent is in charge of managing the activities of the entire company,
concurrently being the business coach. Then they have an advisory consultant who
advices the entrepreneurs on financial matters and the communication officer who is in-
charge of administration and provision of technical support to the entrepreneurs. She
acknowledged that the harder part for the entrepreneurs is to get the network and to find
the people who will buy their services. However, due to the small number of staff at the
incubator, there are no specific team members assigned to individual start-up project. As
a consequence, staffs provide support to all entrepreneurs.
Evaluation
Case № Main arguments (importance,
relevance)
As new people with relevant knowledge might enter the project when it‟s high
needed and each business coach has wide network of knowledge
1 resources, the team inconsistency is not crucial. Though in the beginning medium
the project manager (business coach) tend to be selected according to
relevant expertise. low
Entrepreneurs in this case the clients of the incubator are very important high
in the selection process of the team. As most of them are well-aware of
2 the expertise needed The task of the business coach is providing medium
appropriate knowledge or people who have it, using large network of
contacts. low
high
The flawed team selection might have impact on the project in terms of
losing time, although the incompetent consultant or other member can be medium
3 substituted at any time of the project.
low
high
As the three employees of the second incubator deal with all projects, the
selection process of main team members does not exist, although the medium
4 advisory board which support the entrepreneur is selected.
low
It can be assumed from the perception of the second respondent of high
Incubator 2 that the team selection has somewhat importance, as it‟s
personalised according to each entrepreneur and are recommended to be medium
5 from the same area, so that the weak areas of project will be
strengthened. low
high
All three staff members are involved in all start-up projects of incubator;
6 consequently the team-selection problem does not occur in this medium
incubator.
low
40
Challenge 3 and 7: Facing the risks of Volatility in the Governance Team and Exit
of the Team Member
1. Adam
The respondent firstly was asked about the existence of governance structure in the
incubator. He classified the organisational structure of the incubator as quite flat, as the
top management is represented only by CEO and the rest of the employees are business
coaches. The incubator is supported by different organizations, so if they need more
human capital or scientists in the future, they put money and direct the incubator in a
certain way. The incubator has lots of small projects related to the funds for whole
organisation. They are not all start-up projects and are not linked to business coaching.
So the work of the project leaders of funding projects is separate from the work of
project managers of start-up projects (business coaches). While the funding projects
have their governance, represented by Swedish Government, Umea County, and other
financiers, the start-up projects are governed only by business coaches. Thus, the main
question about the problems that might arise due to the volatility in the governance
team, concerns only to the business coaches. Even though business coaches are
sometimes replaced by the new ones, there is only loss of time and relationship with
clients. Especially when the experienced business coach leaves the project there might
emerge a knowledge gap but hopefully it‟s accumulated in the clients in order to be able
to manage themselves. The knowledge gap is also managed by sharing the knowledge
in advance with other colleagues before a team member‟s exit.
2. Aron
To the question about the governance structure of the projects, the respondent
approached it from the perspective of financing projects, as he works as project manager
of financing projects. He mentioned that they mainly report to financiers who provide
about 20% of the funds and the other 80% are provided by co- financiers that are
searched within Sweden and Europe. As the first business coach of the same incubator,
he stated that the start-up projects are not monitored by the financiers. So the main
challenge to be faced is the volatility in the business coach team. He mentioned that
during the last years they lost lots of competences due to team members leaving the
incubator, although new employees brought fresh ideas, which were also useful.
3. Axel
He also pointed that there is no correlation between the governance board of the
company and the start-up projects. The only challenge that might occur concerns the
exit of business coaches. He sees that there is a big challenge when the head coach
leaves the project, especially if he has followed the project for a long time, then he has
the whole picture and know what has been done right or wrong. Moreover, the business
coach has already established personal relationship and trust with the client. That kind
of knowledge and experience are hard to transfer to the next coach taking over the
project. The effective way of managing this kind of issue is working in parallel for a
couple of months before the person leaves. It will build up personal relationship, even
though all the business coaches know almost all of the incubates except the ones that are
located in the other area, or in the research park.
4. Becka
The respondent was also asked about the governance structure for each start-up project.
She said that there are two project bodies that are involved in providing support to the
incubator. The first is the governing board that governs the company (i.e. incubator 2)
41
and the second is the steering committee who advises the entrepreneurs on their
projects. The two boards do not meet face to face as their functions and responsibilities
are quite different. Since the governing board was formed, only two members have left
the board and have since been replaced. The respondent acknowledged that there was
knowledge loss when the board member left but it did not affect the performance of
start-up projects. As the employees consists of two business coaches, if one of them
leaves the company the learning and knowledge sharing environment will be changed,
causing some disruptions in the projects.
5. Britt
The respondent discussed extensively the “governance structure” of each start-up
project at the second incubator. The respondent recognized that each project does not
have a formal governing board but an advisory board. This is because the incubator has
mature entrepreneurs who know what they want and therefore do not need a body to
supervise them. However, the incubator as a “project” has a governing board who
receives feedback on the incubator‟s overall performance. The incubator‟s governing
board do not provide financial support to the individual start-up projects nor do they
monitor incubator‟s internal activities. The researchers received a surprise response
from the respondent when they asked her how the exit of business coach is handled. The
respondent calmly replied “In fact, am leaving....this is my last month”. She stated that
over the last two months she has been reporting all her activities to the project manager
and project assistant so that they are updated on the processes. She was also constantly
been teaching and briefing the project assistant how she does things before a new
business coach is employed. As a means to ensure all the important knowledge is
transferred, the respondent has made arrangements with the incubator to come back
often and help where necessary until the vacuum she will leave is filled. However, she
acknowledged that it‟s not possible to transfer all her competences to her successor; for
example, the coaching skills that she has developed over the years are difficult to
articulate. Similarly, her entrepreneurial mindset cannot be understated given that she
has been running her own company since 1996, which has provided her with a wealth of
experience on running start-ups. The respondent expressed an idea of having a board of
business coaches working as consultants and not employed by the incubator on a full-
time basis. This would ensure more effective way of running the projects.
6. Clara
According to the respondent the governance board that exists governs the incubator and
not the start-up projects. The governance board consist of company owners and funding
partners and each partner is represented in the board with an exception of European
Union. They hold frequent meetings at least five times a year where the project manager
presents facts and figures about the start-ups. Otherwise, the governing board has no
influence on the running of the start-up projects. The respondent noted that there had
been a change of manager in the past and it was not easy dealing with it because of the
accumulated knowledge that was lost. In addition, the respondent was new to her job
which coincided with the old employee leaving the company. As she narrates, “it was a
big problem when she left. She had been working here since 2008, so she was the one
that knew everything. And the knowledge, experience that she had, of course, was lost.
So I panicked for a while then I decided I couldn‟t panic anymore because we had to get
going”. During the first period she struggled, though after a while she managed to put
everything in order and to handle the ongoing projects. She stated that the best way to
manage the knowledge gap created by a team member who left would be to develop a
good database where important information is kept.
42
Table 9: Main arguments on Challenge 3 and 7, relevance evaluation
Evaluation
Case № Main arguments (importance,
relevance)
As the individual project is governed only by the business coach, in case high
of his exit from the project, which means from the company, the new
1 medium
business coach is employed. The progress of the project is affected in
terms of time for building relationship and filling the knowledge gap. low
The main challenge to be faced is the volatility in the business coach high
2 team. The rich experience showed that they lose lots of competences; medium
however the new personnel bring new approaches and fresh ideas. low
The business coach has the whole picture and knows what has been done high
right or wrong. The knowledge gained from establishing personal medium
3 relationships are hard to transfer to the next coach taking over the
project. low
As the company is represented and run by the respondent since its high
formation, the volatility within the direct project governance was not
experienced. As the environment established in the incubator is very medium
4 important, the exit of one of the two business coach might have big
effect. low
high
The change of the main project manager, concurrently the business
6 coach caused many problems mainly on the organisational level, though medium
the start-up projects after a period of time were handled successfully. low
Challenge 4: Facing the risk of Lack of Role Knowledge among the Governance
Team
1. Adam
The respondent noted that he has occasionally observed lack of project knowledge in
the governance team, but in overall the governance team has a broad-spectrum of the
activities for the projects they fund. In general the funding partners want big companies,
and yet 90% of companies in Sweden are still small for example. In the respondent‟s
case, the government that provides funds for the projects set up goals and make
programmes, but those goals do not affect the individual projects.
2. Aron
As the organisation is quite flat and governance team does not have impact on each
project, this issue is not important for the company.
3. Axel
All the projects have different financial structures with co-financing by the funds from
municipality, county council, university and others. They put the money so they have
decision whether to cut down the projects or to start with the new financing projects.
Some of the business coaches are also assigned to be the financial project managers. For
his part of international business development there are two projects managers. But the
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responsibilities are separated and are not linked. He thinks that co-financers or EU
administration might lack some flexibility in gaining new knowledge, as they have quite
hard administration burden and bureaucracy. Nonetheless as they do not have impact on
the start-up projects, their lack of role knowledge do not cause any direct trouble.
4. Becka
In relation to PM knowledge among the governance team, the respondent noted that the
governing board members are aware of their roles pertaining to governance issues for
the incubator. According to the respondent, most board members have strong
competence in project management skills because majority have PM certifications.
Therefore, the PM skills supplement well with the incubator activities of developing
start-up projects and therefore additional training in PM may not be necessary.
However, in order to fulfil the incubator‟s future objectives of working with
environmental start-ups, the governing board will need some new members who have
expertise in the environmental field. But as the steering board do not interfere in the
process of start-up projects, the mentioned challenge is not relevant.
5. Britt
The respondent acknowledged that since she does not interact often with the incubator‟s
governing board, she was not in a position to comment whether the governing board
lacks PM knowledge. But she stressed that since the board does not have direct
influence nor participate in the management of the start-up projects, inadequate PM
skills amongst the board members would have no effect on the success of the
incubator‟s start-up projects.
6. Clara
In the case of the third incubator the respondent answered the same way as the previous
respondents.
Evaluation
Case № Main arguments (importance,
relevance)
1 high
2 As the governance structure of the companies do not interfere with the
3 medium
4 individual projects, the lack of role knowledge among the governance
team has no importance and is not relevant in the case of incubators.
5 low
6
44
2. Aron
From the point of view of the second respondent the inadequate knowledge integration
might occur when there is no chemistry, networking, relationships, and other not official
techniques. But the main tool is 7-D Model used to map the lack of knowledge.
3. Axel
In order to have adequate knowledge integration the third respondent tried to highlight
all the questions concerning starting up a new business. When new people from
different cultures, different experience, institutes and faculties come to them, they try on
early stages projects to focus on different business parts and try to have teacher‟s role
using the white board trying to explain the basics of marketing, client satisfaction,
SWOT analysis, etc. He also mentioned the 7-D model and the database where they
store all the information about the business ideas and entrepreneurs.
4. Becka
The respondent emphasised on open communication between all the entrepreneurs and
the business coaches, where they share the knowledge and gain knowledge, create new
ideas, initiate new projects by collaboration, etc. That is why during the selection of the
entrepreneurs that are going to be hosted in the incubator, the respondent (head of the
incubator) verifies how can the new member contribute to the learning and open
environment and affective knowledge integration.
5. Britt
In the first period the client is asked to construct his „dream-board‟, who will help him
to identify the knowledge areas that are missing. With regard to the PM tools
application, the respondent mostly uses her business coaching models like mind-
mapping tools to coordinate her work. She also supplements her vast coaching
knowledge with contacts within her network. She assists entrepreneurs to set up the
overarching long term goals that are supported by a number of short term goals. The
short terms goals are revised depending on the market response and future focus. The
respondent noted that some of the entrepreneurs use risk management tools to analyse
the market, manage time and customers. The respondent said by adopting risk
management tools and goal-setting, she is able to integrate entrepreneurs‟ knowledge
and business knowledge and therefore, the tools she uses depend on the problem at
hand. On the other hand clients sometimes are too busy with their routine work, such
that they might skip very important seminar or discussion, which would be very
valuable for them. Ultimately they decide whether to get the support from her or not.
6. Clara
Concerning PM tools application, the respondent acknowledged that she doesn‟t use
PM tools to integrate her team knowledge. According to the respondent, the artistic
knowledge is the most difficult to integrate within the creative industry as most artists
(entrepreneurs) do not want to start their own companies; the artists want to create the
best they can out of the company environment. She further explained how the incubator
integrates the artistic knowledge with business knowledge. She said that they try not to
use business-like approach in the way they deal with the artists. For example, when it
comes to writing a business plan, they ask a list of questions to the artists on a white
board. The artists then answer the questions, which in turn are reformulated into a
business plan. As respondent explained, “we do not do business plans that are 16
45
pages…we help them make their business plans on white board based on sketches,
drawings and general talk. Basically what we do…we try to get them answer questions.
After we have gone through all these questions, we can actually take up these
documents that are needed to register the company and then we can fill out the
answers”.
But overall knowledge integration within the whole organisation is very important as
they have several steps of selection of the clients, not only according to their idea, but
also according to how they will contribute to the environment, which expertise they will
input to gain optimal and effective mixture. The respondent who also works as the head
of the incubator as well as the business coach believes that the more diverse the ideas
are, the better the integration, that is why the respondent tries to diversify the start-ups
according to expertise, age, gender, work experience and other characteristics of the
clients.
Evaluation
Case № Main arguments (importance,
relevance)
In order to integrate different expertise involved in the team they use high
some tools, such as specifically designed checklist to write the business
1 plan, as well as 7-D model, which depicts all the missing knowledge areas medium
for effective knowledge integration. low
7-Domain Model is used in all projects of the incubator 1 which indicates high
the importance of knowledge integration, as it helps to map the areas with
2 medium
lack of needed expertise. Despite this tool, inadequate knowledge
integration might occur when there is no chemistry, networking,
relationships, and other not official techniques, that are very important. low
The 7-D model explained on the white board from the scratch. Also the high
basics in marketing, management and other entrepreneurial knowledge
that researchers or inventors miss, or detailed description of information medium
3 about their invention shows high importance of the knowledge integration
for the project success. low
The knowledge integration within the whole organisation is very high
important, as the entrepreneurs hosted in the incubator are selected taking
into account if they can effectively contribute to the knowledge mix medium
4 established in the organisation. The respondent emphasises the open
communication between all the entrepreneurs and the business coaches. low
The client is asked to construct his/her „dream board‟, according to which high
the coach provides guidance to what expertises to incorporate in the
project. Mind-mapping, risk management, seminars and other project medium
tools are used to integrate the different expertises. As the entrepreneurs
5 are mostly busy with their day-to-day work, in the end they decide
low
whether to be involved in the knowledge integration built around them.
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1. Adam
The respondent commented to this challenge saying that when they decide to work with
the specific idea, they make presentation in a big picture explaining all the work that has
to be done. And it‟s up to the entrepreneur to do the work or not, because he is the one
behind the idea. Afterwards the entrepreneur has to describe his idea. If the ideas are
about IT application, and he does not understand, the client should explain to him and
also share his intellectual property with him.
2. Aron
The knowledge transfer takes place by talking with each other in non official way or in
the meeting rooms. When the client wants to commercialise his idea, he has to go into
details and transfer all the knowledge that he has. He must have an open approach and
be willing to share his knowledge with them, which means to be „coachable‟. The
respondent gave an example, saying that if a professor in plant physiology from the
university comes to the incubator, they wouldn‟t find a person with more knowledge in
that field, so the researcher would be the main expert in his/her specific field, but in
order to strengthen up in other fields, which is their role, the researcher should be as
open as possible. When the clients do not wish to transfer the knowledge, it might take
some years up to 5 to open up to other people. After several failures they might gain
lessons.
3. Axel
For the knowledge transfer the respondent mentioned about official meetings, e-mails
and other means. He said that there are clients unwilling to transfer the knowledge they
have. Its part of the criteria of being „coachable‟ or not. In order to get support, the
clients should give them all the information. In his opinion, this is crucial for the
success of the project. In order to get success in the end, clients have to be open in order
to build trust. He pointed out that the business coaches have to work quite close and
deep with the clients so that they tell more. Personal relationship is very important in
managing this challenge.
4. Becka
The respondent noted that the process of knowledge transfer and learning is very
important at the incubator. One of the most important things for the entrepreneurs is
commitment to learning, gaining knowledge and sharing knowledge. They conduct
regular meetings with all entrepreneurs in order to share experiences, ideas and
networks. Basically, the entrepreneurs‟ ideas are transferred through interviews,
presentations, and formulated questionnaires, while the staffs transfer their knowledge
to the entrepreneurs through coaching, published materials and assignments “home-
works” or other tasks. Additional knowledge transfer within the incubator occurs when
entrepreneurs make presentations, interact with the advisory board, during meetings and
seminars.
5. Britt
The process of knowledge transfer takes place during regular house meetings where
staffs give entrepreneurs assignments to share among themselves. They also do things
together like team building, having coffees, and talking to each other. The respondent
was further asked whether she finds it difficult working with entrepreneurs from diverse
areas. The respondent responded by acknowledging that she may not be the right person
for every entrepreneur, but she enjoys the challenge of interacting with diverse
knowledge fields. Most of the entrepreneurs discuss openly their business ideas and she
47
tries to support them and in the process, she learns new ideas as entrepreneurs own the
processes of doing the business. However they are not forced to transfer all the
knowledge, and the respondent even do not pay much attention to it. The decision is
made by the client whether to share his knowledge or not.
6. Clara
The knowledge transfer between the artists and the project team is without obstacles.
The respondent stated that the entrepreneurs share their knowledge with the team openly
unless there are certain things that they do not want to share, of which they are not
obliged to. Both the staff team and the entrepreneurs often hold discussions where the
entrepreneurs are expected to put down three or four issues that they want to share with
their colleagues, both good and bad experiences. Therefore, if an entrepreneur decides
to keep some information secret, the respondent thinks that it could be because the
information is not useful or it‟s personal. But most of the time, the respondent said the
entrepreneurs communicate their ideas freely, which is very important for the
incubator‟s growth.
Evaluation
Case № Main arguments (importance,
relevance)
The knowledge transfer is important from the client to the team and vice high
versa. After presenting to the client the work that has to be done, the
1 entrepreneur has to explain more detailed the knowledge domain of his medium
idea; otherwise the support will not be effective. low
In order to commercialise the idea, client has to go into details and high
transfer all the knowledge. Most of the cases it‟s not possible and is not
2 needed to gain all the knowledge that the client possesses in his/her field, medium
but in order to fill the missing parts of knowledge, the client should not
hinder the knowledge transfer. low
Discussions are organised, where, both the staff team and the high
entrepreneurs are expected to put down three or four issues that they want medium
6 to share with their colleagues. Free communication of the ideas is
important in the incubator. low
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1. Adam
To the question whether it‟s important to be aware of other team members‟ expertise
and their knowledge network, the respondent replied that it‟s especially important for us
to know other business coaches knowledge, because if the new business coaches come
in, they face problems because they do not know who to refer to, to get the right
knowledge. After couple of months of attending the business coach meetings they find
out each others‟ expertise and networks. The speciality of the business coaches are
posted on the webpage of the company, though the expertise within the team is created
according to the need of the client.
2. Aron
Concerning to the question whether the knowledge map is important the response was
positive, though they do not write down the knowledge map. However when they do the
7-D model, they get a kind of knowledge map including the micro area, macro area, as
well as company‟s team evaluation. The competences within the business coaches are
broad, including IT, life science, medical technology and others, hence they separate
certain fields and every second week during the business coach meeting they discuss the
incoming ideas and distribute them to the coaches that are interested and available.
3. Axel
The third respondent answered that it was very important for him to know firstly his
colleagues‟ competences and knowledge level in different areas. If the team consist of
4-5 people it‟s very important to know what are they capable to do. It saves time, as you
can easily coordinate the resources if you know who to pick for each task. It‟s quite
time consuming task to find a consultant in a certain area. As they have action plans and
follow up meetings to check if the clients have accomplished the tasks until the next
meeting, they have to analyse the reasons why it was not done, if it‟s not done. Thus if
he knows what the team members are good at and not good, he could easily see the
knowledge gaps and what homework are doable by the clients and what homework will
need hiring external consultancy or consultants directly put in the project.
4. Becka
When the researchers asked the importance of being aware of project team expertise;
the respondent stated that due to the small number of staff, they are aware of each
other‟s expertise and overall knowledge in specific fields. It‟s also important to know
about the external knowledge sources. They conduct house meetings every third week
of the month. Usually all the start-ups are represented in these house meetings.
Similarly, staff members also regularly meet amongst themselves. They also encourage
team members to socialize by undertaking some activities together like team building or
having coffee together. Furthermore, the respondent said that they have documented
collective knowledge of the team and stored them in the computer.
5. Britt
The respondent noted that it‟s important to be informed about team members‟ expertise
and knowledge area. At the second incubator, this is not an issue as the team is small
and generally work as a family. Concerning the knowledge map, the respondent said
collective knowledge is stored and transferred within the company but nothing is
written down like a manual. As for the entrepreneurs‟ knowledge, she said “…the
business owners own their own knowledge...and it‟s not upon me to write it down …if I
wrote it down it will be old”.
49
6. Clara
Concerning the peers‟ expertise, the respondent said that since the team is quite small,
that is, only three staff members, all team members are aware of each other‟s expertise
as they work together and consult on most of the issues amongst themselves. Moreover,
the respondent stated that the knowledge map is all in the mind and nothing is
documented in writing. At the same time, the knowledge and skills involved in the start-
up projects are difficult to teach another person, it‟s all about tacit knowledge.
Table 13: Main arguments on Challenge 8 and relevance evaluation
Evaluation
Case № Main arguments (importance,
relevance)
The knowledge map of other business coaches and their contacts is high
specifically important. The basic information about main specialities of
1 business coaches is placed on the webpage of the company. However, medium
from the perspective of project team, the knowledge map is created
according to the need of the client. low
Knowledge map is not written down. However the fields are clearly high
2 separated within the business coaches. And in the project team the 7-D
model is done, which represent the knowledge map including the medium
information on micro, macro area, as well as company‟s team evaluation. low
Firstly it‟s important to know other colleagues competences and high
knowledge level in different area. The project team members‟ knowledge
medium
3 is also important as it helps to set up doable short-term goals, considering
the knowledge gaps. low
high
The knowledge possessed by the colleague is well known due to few
medium
4 employees. It‟s also important to be aware of external knowledge sources.
low
high
Collective knowledge is stored and transferred within the company but
medium
5 nothing is written down.
low
The knowledge map of the team members, which mainly overlaps with all high
6 employees of incubator, is known. It‟s not written down as the most medium
important part of it includes tacit knowledge. low
The separate stages used in IT projects, where the team changes significantly with each
stage, as it performs completely new type of activities for the incremental development
of the software, are not applicable and cannot be structured in the same way in the
incubators. Even though at the first incubator, they recognise particular stages that the
entrepreneur goes through, however, the process of passing the stages does not go in a
structured way. Often the development process goes up and down, as well as forward and
backward, which assumes starting all over again. As the business coach and the
entrepreneur maintain all the knowledge and knowledge network throughout the whole
duration of the project, this challenge cannot be addressed in the incubators.
50
1. Adam
As the incubator field is aimed to promote innovation to adapt more effectively to the
fast-paced change of environment, usually the lessons learned from particular project do
not represent value for the next ones, even though the establishment of a learning
atmosphere through informing other members about the success and failure factors at
the end of project could play a significant role. To the question if it‟s done at the closure
of the projects, the respondent replied that they make an exit plan if there are failures of
the not working idea. Nonetheless, many of their best cases have had ideas which have
not worked. No official documents are done, but it‟s always shared with colleagues. In
the incubator, entrepreneurs need to make mistakes, control these mistakes and learn,
because some mistakes are not translatable to other businesses. But when there is a
disastrous mistake they discuss it.
2. Aron
The second respondent of the first incubator said that spectacular failures of projects are
discussed. As failures happen all the time, caused by different reasons, they focus more
on the positive side. They often have in their mind particular success factors for vast
number of previous projects, which makes easier for them to portion them out through
different phases of the new project. Thanks to regular official and non-official meetings
they increase their potential for handling new projects.
3. Axel
The third respondent replied that in the end of the incubation projects they consider the
success of their „graduate‟ companies as their personal success, as they build relations
and trust with the clients, coach the whole process, inputting other expertises when
external help is needed and track the development of the idea. They do communicate to
all the business coaches about the problems that arise during the project; ask for advice,
and share with new experience and information they gained.
4. Becka
Generally, the second incubator ensures that before the end of the two-year incubation
period, the start-up company is strong enough to face the outside world. In this regard,
they conduct numerous seminars and trainings to strengthen the weak areas of the
projects. As the incubator keep all the contacts of previous companies hosted there, and
some of them are also included in the advisory boards of new companies, the incubator
manages to maintain the learning environment after finishing the projects.
5. Britt
Concerning this question the respondent reiterated that the start-up companies wind up
after the end of two years and basically, before they move out, they have a joint
conversation between the team and the entrepreneur to discuss the entrepreneur‟s
overall experience at the incubator and arrange for contacts in the future. In the end of
projects the business coach assists the entrepreneurs with such things like forming
company board (for those who do not have the board), finding office spaces and
directing them where necessary. The respondent said they do not keep record of failures
and successes for each start-up project. Nonetheless the encouragement of open
communication depicts the big importance of establishing learning environment.
6. Clara
The respondent stated that when the one-year incubation period comes to an end, they
have an exit procedure where they recap what the entrepreneurs have learnt. The
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respondent said its important in the last part to know how the entrepreneurs feel and see
what they have achieved, what‟s good, what could have been done better but also what
happens now and how can they continue developing their start-up businesses. The exit
form is then documented for reference. In this part, the team try to discuss with the
entrepreneurs different ways of what next. The respondent explains that “I really do not
want them to move their businesses home or to their flats to sit in their kitchen and do
the job because networking is so crucial for getting the jobs and it‟s very easy to lose
networks when they go home”. Currently, the incubator has 3 or 4 start-up projects that
will leave in January 2011. The respondent also stated that they capture lessons learned
for each start-up project in the exit form. In this way, the learning environment is
created and maintained.
Table 14: Main arguments on Challenge 10 and relevance evaluation
Evaluation
Case № Main arguments (importance,
relevance)
Exit plan is made if there are failures because of not working idea. The high
1 big mistakes that are done within the project are discussed. But in general medium
some mistakes are not translatable to other businesses. low
Keeping in mind particular success factors obtained from vast number of high
previous projects makes easier to choose and distribute through different
2 phases of the new project. Regular official and non-official meetings medium
increase the potential for handling new projects and learning from them. low
During the project and after the closure, business coaches share out their high
problems and experiences. The discussion with all the colleagues during
the official meeting held every two weeks produce learning environment medium
3 within organisation. low
Keeping in touch with former incumbents and referring them regularly for high
supporting the new ones ensures the encouragement and learning
medium
4 environment after finishing the projects.
low
It‟s important for the incubator to learn how the clients felt during being high
6 situated in the incubator, what they achieved, what was good, what was medium
wrong captured through an exit interview form. low
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To summarise the different opinions on each challenge, the aggregate Table 15 is
constructed, which clearly illustrates the level of relevance and importance of all the
challenges. The ones that are strongly relevant in the incubators and have high
importance for the business coaches concerns to the exit of the business coach,
knowledge integration and transfer issues, as well as having an organisational
knowledge map and ability to contribute to the learning process after the closure of each
project. The knowledge gained from previous projects and team selection mistakes did
not have high importance for them, but they were still relevant. The remaining two
knowledge based risks did not represent any threat to the organisations.
Challenge№
1 2 3,7 4 5 6 8 9 10 KM challenges
Case №
1. Lessons not learned from previous projects
1. Adam 2. Team selection flawed
3.Volatility in the Governance Team
2. Aron 4. Lack of Role Knowledge among the
Governance Team
3. Axel 5. Inadequate knowledge integration
6. Incomplete knowledge transfer
7. Exit of the Team Member
4. Becka 8.Lack of Knowledge Map
9. Knowledge Loss between Phases
5. Britt 10.Failure to Learn
Evaluation
6. Clara
High importance and relevance
Final High High High High High Medium importance and relevance
Med Med Low N/R
evaluation Low importance and relevance
53
CHAPTER 5: DATA ANALYSIS
5.1 Introduction
This chapter begins with general perceptions of the main concepts and KM practices
observed across the three incubators. The first two tables introduce the reader to the
analysis of the conceptual model that was derived from the literature review in relation
to the empirical findings. The analysis of the model focuses on the three identified
domains of organisational knowledge management, project management and project
knowledge management. Next, we provide an in-depth analysis of the knowledge
management challenges as observed in each of the three domains in the context of
incubators. The discussions are based on the empirical findings as well as compared to
theoretical perspectives of the study. As a concluding part, a new model is proposed for
representation of knowledge management challenges in the management of start-up
projects in incubators.
Ideas and experience which can be shared through As most of them have started companies, knowledge
4. Becka
day-to-day formal and informal interaction. and experience sharing itself is perceived as project.
Knowledge is something that can be managed Process of pushing forward and helping the potential
6. Clara
through communication entrepreneurs to keep track on what they are doing.
54
As it can be seen from the responses, half of the respondents emphasized the practical
aspect of gaining knowledge. Description of knowledge by Aron, Axel and Britt
obviously depicts that knowledge is gained by doing or it‟s correlated to the profitable
actions. Another half of the respondents pointed out the communicating and sharing
aspect of knowledge, its creation and maintenance. This indicates that knowledge which
implies experience and practice has more tacit characteristics, while knowledge gained
through communication and sharing might involve both types. Becka and Clara, who
are in charge of incubators and both have PM education, gave importance to the two
types of knowledge, assuming sharing of intuitive and implicit knowledge, as well as
formal, published or any other explicit knowledge. From the description of the projects
it‟s seen that in cases number 1, 2 and 3 the focus of the project is mainly on the
development of the idea, whereas in cases number 4 and 6 the projects are aimed to
develop the entrepreneurs. In case number 5 the general perception of the project
depicts obvious attention on development of incubated companies.
Incubators
KM practices
I1 I2 I3
Regular official meetings within the business coaches to discuss and share
the problems and experiences gained in each project
Regular official meetings within clients to share the lessons learned from
new experience and tasks accomplished
Follow-up meetings between client and business coach(es) to discuss the
difficulties that have aroused while achieving the short-term goals set in the
previous meeting
Enhancement of organisational knowledge and learning through integration
of knowledge of many business coaches
Regular meetings within the staff of incubator and all clients hosted in the
incubator to raise questions and share ideas
55
Utilisation of large scale databases, such as intranet
Capturing the lessons learned from project by official interviews during the
exit of the client from the incubator
The information provided in the table clearly illustrates the similarities and differences
between the incubators. It can be obviously seen that the Incubator 2 and 3 have more
common KM practices than Incubator 1. The strong emphasis on optimal and
diversified client portfolio, family environment, close communication between all
incubated clients, importance of client feedback represent the distinguishing features of
the incubators with a smaller number of employees and less turnover of the business
ideas (incubator 2 and 3). KM at the organisational level is focused mainly on the
clients‟ knowledge management, while in relatively bigger incubator, which stands for
Incubator 1, KM at the organisational level captures primarily knowledge sharing
among the business coaches, through which the organisational learning and knowledge
updating is ensured. Distribution of the incoming ideas according to the knowledge
domains they derive from, as well as involvement of assisting business coaches
differentiates the projects initiated in the first incubator. Due to its larger capacity
including Research Park and large office territories, as well as technology intensive
characteristics, the first incubator offers wider access to the established companies with
similar experience as well as to the larger database. However there were practices
shared by all incubators, such as organisation of common seminars and lectures,
encouragement of non-official meetings by providing appropriate facilities and
discussion of the difficulties that have aroused while achieving the short-term goals set
in follow-up meetings between client and business coach.
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5.4.1 Organisational Knowledge Management
KM at organisational level represents the initial level of our study. It‟s founded on the
organisational content of the incubators, which basically include set of start-up projects
and funding projects to ensure the financing of the previous ones. One theme that was
consistently stressed by the respondents was the significance of organizational
knowledge, that is, the knowledge that resides within the organization. The sense of
organisational knowledge importance was very high in the incubators. Based on the
frequent acknowledgement by the respondents about the regular official and not-official
meetings, constant communication and discussions about the experiences and problems
aroused during work and continuous knowledge sharing between colleagues and clients
situated in the incubator, depicts that organisational knowledge management practices
are set as part of the organisational culture.
The Knowledge Creation Model or the SECI Model (Figure 3, p.13) developed by
Nonaka and Takeuchi (1995) captures the incubator knowledge management process.
Socialization takes place in the incubators, as the staffs cooperates with each other
providing opportunity to other colleagues to observe or practice what is done by others.
Also easy access of the clients to each other and everyday observation facilitates
information gathering and learning process. Externalization of knowledge happens
mainly through dialogues. As it was derived from the data, everyday meetings during
coffee breaks, corridor talks, and regular official meetings between the business coaches
and between the project teams ensure that the knowledge flow process is externalised.
Between the project teams the transfers of tacit knowledge is done during trainings and
seminars where power point presentations or in-house lectures are made, as well as the
use of audio tapes and individual presentations to the entrepreneurs. The combination of
knowledge takes place when different experiences and knowledge gained from different
projects are combined. Also when fragmented knowledge gained from the stories of
colleagues concerning some aspects of projects or lessons taught by the business coach
are realised in a linked form. The final process of knowledge creation cycle,
internalisation, mostly concerns to the entrepreneurial knowledge base inherent to the
incubators. As many of the respondents mentioned about „learning by doing‟,
57
internalisation of the knowledge can take place at the same time when you apply the
combined knowledge base that you gained in real life.
Most of the respondents acknowledged that it‟s not easy to store incubator knowledge
because the market development is so rapid that information becomes old very fast. For
example, past failures may become present successes. In that sense, information that
may have been classified as failure and probably ignored could become useful
afterwards. Since the entrepreneur is the source of the project ideas and owns it, storing
his idea limit the horizon of the idea expansion if need be. In a similar vein, respondents
regarded knowledge in the incubators as tacit knowledge. For example, business
coaches tend to keep all the knowledge in “their heads”, which they refer to as the
“database”. The argument provided for this, is that business coaching is much more
personal than the formal skills learnt in school. It involves creating personal
relationships with the entrepreneurs as well as being able to “click” and forge a mutual
understanding. This means that an individual personality trait is of paramount in
incubators. Knowing how to handle your clients (entrepreneurs) is important.
Personality traits like being a good listener and energy giver are difficult neither to teach
nor to transfer to another person in the incubators.
Tacit knowledge transfer, however, has its limitation since not all of its elements are
transferable. According Clara, skills needed to manage the artistic projects are hard to
transfer to another person because most of it is learnt by doing. Another way to transfer
tacit knowledge in incubators is through social networking. Both entrepreneurs and
project staff are encouraged to join different networks as a means to acquire useful
business contacts. Usually, it‟s from such networks that entrepreneurs find customers
for their products.
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Explicit knowledge transfer
Explicit knowledge consists of formal skills which can easily be communicated or
transferred (Nonaka and Takeuchi, 1995). The use of knowledge repositories in
incubators is not widespread. Nevertheless, explicit knowledge is still considered as an
important means of incubation knowledge transfer. For example, Becka noted that she
often compiles reports on each start-up project after every three months in order to
capture key lessons learnt and challenges observed. Other respondents as well
acknowledged the use of documents and powerpoint presentations as a way to transfer
explicit knowledge. For example, Britt from Incubator 2 has been documenting
important information for her successor since she is due to leave the company at the end
of December 2010. Clara (Incubator 3) also noted the use of exit interview forms at the
end of the incubation period to record experiences and lessons learnt by the
entrepreneurs. Seminars and workshops are similarly good avenues to transfer explicit
knowledge. Some seminars were noted to be industry-specific, that is, they provide the
entrepreneurs with materials that are of interest to their particular field.
It‟s however, worthwhile to note that both explicit and tacit knowledge get transferred
within the incubators. Tacit knowledge is transferred from expert to entrepreneur and
vice versa through open communication and dialogue, while explicit knowledge is
transferred through books, manuals, and other relevant materials relevant to the
entrepreneurs.
Similarly, the spiral model (Figure 8, p.18) which also uses the principles of the water-
fall model to mitigate risks in the projects was partially reflected from our findings.
Although none of the respondents said that they use the model in the evaluation process,
but from the the researchers point of view and the literature findings, the basic
principles of the model is somehow similar to the 7-Domain model used by one of the
incubator firms. The 7-D model which is a structured internal tool is used to evaluate
the desirability of the start-up project at the early stages. The seven domains include
market attractiveness; industry attractiveness; target segment benefits; sustainable
advantage; mission; ability to execute critical success factors, and connectednesses
across the value chain. The business coaches at the first incubator usuallly evaluate each
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start-up project against the main model domains by examining general factors such as
project strengths, weaknesses, market risks, team composition and so on. According to
Adam from Incubator 1, the 7-D model offers a better toolkit for exploring and
determining market opportunities. The model also provides the basis for scanning the
environment to determine the weaknesses and strengths of the project before the
entrepreneurs invest their time and effort in writing a business plan. Below is the
diagramatic representation of the seven domain model.
Therefore, collective knowledge creation and learning occurs in the incubators through
individual participation and team involvement. As Leuseure and Brookes (2004)
observed, the main issue in knowledge management across the projects is construction
of collective knowledge, which may lead to low project performance, if not well
managed. However, once knowledge and experiences have been gained in the projects,
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they become part of project team‟s knowledge and thus difficult to identify separately
(Fong, 2005).
Usually, different knowledge types are needed at different phases of the start-up project.
For example, information about potential customers, market readiness for the product
and technological knowledge are important for the early phases of the project, while
knowledge about technical solutions, for instance, lawyers‟ expertise, and targeted
market segment are appropriate for the development phase. Project knowledge
accumulated at the end of the incubator period is stored either as explicit knowledge
(knowledge repositories) or tacit knowledge (expert knowledge).
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Figure 13: New Proposed Model for KM Challenges in Incubators
Source: Developed by Authors from empirical & literature findings
The consideration of the first four challenges identified in the organisational knowledge
management domain will ensure the knowledge potential and the strength of the
incubator to handle different projects. The way organisations face these challenges, will
notify how well the principles of knowledge management are imbedded within the
whole organisational system.
The first challenge within this domain is represented by handling the business coach
exit from the project. This challenge was originally derived from two knowledge-based
risks represented in Reich‟s IT model: Volatility in the governance team and the exit of
a team member. Even though the project governance consists only of the business coach
as the manager of the project, it does not have the same implication as in IT projects. As
it was defined before in the literature, and confirmed by the respondents, incubation
projects do not involve classic perception of decision making and project handling. The
progress of project is strongly dependent on the client. So the project manager or the
business coach has both roles: simple member of the project and project governor. The
main figures of the project are the business coach and the entrepreneur or the researcher,
which means the project might be affected only in case of business coach exit, as exit of
the entrepreneur will mean the close-out of the project.
The empirical data proved that the knowledge core of the incubator is formed by the
integration of the knowledge of its members. A single change within the business coach
team will results into the overall change of the knowledge base of the organisation, as
different explicit and implicit knowledge will be shared, different distribution of
expertises will be utilised, as well as different relationships and environment will be
established. So when there is an exit of the business coach, which was not anticipated
by the organisation, the progress of the project will be affected through disruption of
overall knowledge flow. Mainly in this case the effect on the organisation is more than
on the project as the clients contain the inputted knowledge. Most of the interviewed
business coaches did not see that as a big challenge, as the knowledge can be substituted
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with the client‟s one, who accumulated the knowledge that was passed to him/her by
business coach who left. It was revealed from the interviews that this challenge mainly
cause loss of time for building relationships and trust within the project members.
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people from other fields. Start-up projects encompassing vast number of research results
from variety of knowledge fields, networking is one of the KM practices that is very
significant to them. Through sharing ideas and business contacts, unforeseen market
opportunities or jobs may rise to the advantage of the entrepreneurs. Maintaining
business or personal contacts with one‟s networks is important to the growth of the
project.
The next two challenges are presented on the project management domain; they reflect
the effectiveness of the project management practices in order to gain group knowledge
and learning.
Appropriate team selection represents the initial challenge for project managers in all
the industries. Relevant competences involved in the project will ensure the quality and
other parameters of project success are achieved. However the empirical data showed
that in the industry of incubators it does not have high importance, as there are no
governance layers, except the business coaches, to decide the team composition of
individual start-up projects. In the small incubators the team of the organisations
handles all the ideas that enter the incubator. The team might be selected according to
the client‟s wish or with the advice of the business coach. The members from external
knowledge sources are mainly based on the client‟s needs. In some cases the business
coach refers to the consultant specialised in the research area of the inventor. In the first
incubator the business coaches are selected according to the area of the specialisation
and also availability. The other team member selection is dependent on the knowledge
map that is derived from the 7-D tool mentioned above, which is used for the early
stages of incubation. According to Axel, in case of the involvement of new consultants,
who had not contracted before, there might arise some problems of team selection.
However it may be solved by replacement which will result into loss of time.
The project management will be affected directly if the knowledge from the previous
projects is stored. Even though most of the projects respondents in general agreed on
low usefulness of the knowledge derived from the previous projects, two of them
admitted that in knowledge-intensive projects, the lessons learned from the previous
projects are transferable to the next ones. As the official documentation in all of the
incubators is taken to minimum, great volume of the information is kept in the memory,
which makes the incubator vulnerable to the experts working within the organisation.
As it was mentioned by Axel, knowledge awareness of similar projects might lead to an
easier way of handling some procedures emerging during the project implementation.
Finally the most specific domain where two challenges might arise is project knowledge
management. These are special knowledge management practices designed and utilised
especially for the incubator projects in order to generate new knowledge for project goal
fulfilment.
The process of integration of different expertise captures the main idea of knowledge
generation and development. As the clients, who are involved in the team share
different experiences, professions and knowledge, the process of knowledge integration
often results into creation of new knowledge. Some tools such as checklists, white board
and others are used to achieve effective knowledge integration as needed information is
sometimes gathered and formulated.
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In order to ensure complete knowledge flow within the project, there must be some soft
factors considered. In cases where open communication is not established, the challenge
of transferring incomplete knowledge might result into non-effective support given to
the entrepreneur by the business coaches. In other words if the client is unwilling to
transfer the knowledge due to the high consideration of intellectual property issues, the
support given by the business coach will not cover all the needs of the client.
In summary, the findings derived from the empirical data obtained from the incubator
firms in Sweden, generated eight main knowledge management challenges that are
relevant to the incubator industry. They include handling business coach exit,
communicating lessons learned, creating knowledge map, establishing knowledge
network, selecting appropriate team, storing knowledge from previous projects,
integrating different expertise and transferring complete knowledge. Each of these
challenges was placed in each of the three domains defined in the conceptual model, in
order to highlight the domain it directly impacts.
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CHAPTER 6: CONCLUSIONS AND RECOMMENDATIONS
6.1 Introduction
This last chapter summarizes the general conclusions and recommendations drawn from
the research. Contributions of the study to the theoretical literature and empirical
findings are also presented. Further, limitations of the study are pointed out and areas
for further research are suggested.
6.2 Conclusion
In the contemporary business environment, organizations are increasingly using projects
as means to deliver business objectives. Knowledge management, which is a unique
intangible asset, is seen to be crucial to the organization‟s success in achieving
competitive advantage. It‟s argued that managing tacit and explicit knowledge enables
the project team to avoid rework and compress time required to plan for a project. The
importance of knowledge management and project management to the organizations
cannot therefore be understated. It‟s from this perspective that the authors decided to
conduct a research study on knowledge management challenges in project management.
Also, the availability of little research done on knowledge management in project
environments was equally a contributing factor.
The rationale of our study was to explore the knowledge management challenges in
project management. The main research question was “What are the knowledge
management challenges in project management particularly in the case of start-up
projects in Swedish incubators?”. This main question was further divided into three
sub-questions. The first research question aim was to identify knowledge management
challenges in project management, and this was extensively covered in the literature
review. The second research question was concerned with the validation of the IT model
in the incubator industry. This question was also addressed through the empirical
findings which led to the development of a new conceptual model for the management
of incubator projects. The last research question was to examine KM challenges in start-
up projects in the incubators. This question was also fulfilled through the empirical data
obtained from a sample of three incubators in Umea, Sweden (i.e. Uminova Innovation,
BIC Factory and Krenova).
The empirical study was designed following the adoption of Reich‟s IT knowledge-
based risks model. The ten knowledge-based risks as identified in Reich‟s model were
reformulated to suit the incubator environment. Thereafter, a multiple case-study design
was used to collect data from three incubators. A total of six interviews were conducted
from three business coaches and three project managers (three respondents from
Uminova Innovation, two respondents from BIC Factory and one respondent from
Krenova). After the interviews, a qualitative approach was adopted to present the data
and intensively analyse the findings. The results were later aggregated and the level of
importance of the KM knowledge-based risks or challenges was noted. The empirical
data showed that human capital elements such as education and work experience are
important intangible assets to the incubators knowledge pool. It also showed the
knowledge management challenges that are strongly relevant to the incubators. They
include exit of business coaches, knowledge integration and transfers within and outside
the incubators, existence of organizational knowledge map and the ability to create a
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continuous learning environment. However, challenges such as knowledge gained from
previous projects and team selection flaws had moderate impact on the start-up projects,
while lack of role from the governance team and the loss of knowledge between project
phases did not represent any threat to the incubator projects.
Subsequently, the empirical findings were analysed using the conceptual model that we
had derived from the literature. The conceptual model discussed three main domains of
KM and PM, that is, organizational knowledge management, project management and
project knowledge management in relation to the findings. The aggregated results of the
challenges were then presented on each of the three domains as observed in the
management of start-up projects in the incubators. Finally, a new conceptual model was
proposed that represents the eight knowledge management challenges that are mostly
relevant to the incubators. From the analysis, the new model was found to be more
appropriate to the incubator industry compared to the IT knowledge-based model due to
several reasons:
First, the incubator project team consist of few (mainly two to three) people. This means
that personal relationship between the client and the business coach is critical to the
success of the projects. This reason tends to overweigh some of the KM issues that
often arise in an IT project team.
Secondly, the hierarchical structures of the incubators were noted to be quite flat. The
project managers work concurrently as business coaches (or vice versa) in the projects.
This means that project governance is done by one person, and is not distributed
between the sponsor, client and project manager as in IT projects.
Thirdly, in IT projects, the product can be delivered to the client then you find out that
the client is not really ready to learn from it. In an incubator, this is evident right away
since it‟s the client who is building the product, and not the team.
Lastly, in incubator projects, the client is involved in the project from the beginning.
The client becomes part of the project team and work closely with the business coach to
develop the idea to maturity.
Lastly the combination of literature review and empirical analysis made possible to
meet all research objectives and answer research questions.
(i) General study of KM challenges in PM, as it was stated in the first research
objective, was accomplished after reviewing extensive academic and practitioner
literature, mostly on the linkage and the correlation between the both fields. The authors
managed to capture all the main findings and illustrate it in the model. The conceptual
model depicts all the problematic areas of knowledge in the defined domains of
organisational knowledge management, project management and project knowledge
management. On the basic and general domain of organisational management, authors
observed following challenges that affect overall organisation: explicit and tacit
knowledge handling. First one mostly concern to the establishment of knowledge
management system, including data repositories, information sharing software and other
materials. The second challenge is dependent on the ability and the possibility of human
experts to share the tacit knowledge they possess. The third challenge, placed on the
domain of project management, refers to the group knowledge creation and learning. On
this level knowledge is supposed to be spread across projects, enhancing the learning
process of employees involved in project-teams. Finally the last challenge is represented
on the domain of project knowledge management, where the importance of various
project specific knowledge bases and general project handling knowledge are outlined.
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(ii) The collection of empirical data obviously focussed on validating the IT-based
model proposed by Reich (2007) represents the second research objective. As it was
described in the general findings, not all challenges fit the incubator context. Due to the
major differences between the two sectors some of the challenges were not valid and a
new challenge was found after data analysis. Hence it can be clearly stated that research
strictly followed mentioned objective to validate the IT knowledge risk-based model in
the area of start-up projects of incubators.
(iii) The third research objective is strongly linked to the previous one, as it assumes the
generation of the challenges that are relevant for incubators. The illustration of the final
model depicts all the identified KM challenges that affect PM in incubators. As a result
the authors came up with the following challenges: (i) handling business coach exit, (ii)
communicating lessons learned, (iii) creating knowledge map, (iv) establishing
knowledge network, (v) selecting appropriate team, (vi) storing knowledge from
previous projects, (vii) integrating different expertise and (viii) transferring complete
knowledge.
6.3 Recommendations
Based on the above empirical findings together with the literature analysis, numerous
recommendations are suggested. However, it‟s worthwhile to note that incubators have
different environmental settings in the management of projects as the success of the
project is heavily dependent on the client (entrepreneur). In order to help incubators
handle the knowledge management challenges that have been identified and ensure that
the start-up projects are rolled-out successfully, the following recommendations are
outlined.
To begin with, on the main area of knowledge management challenges, not all of the ten
knowledge-based challenges presented were found to be relevant to the incubators. The
challenges that were noted to be most relevant include business coach exit, knowledge
integration, complete knowledge transfer, knowledge map creation and communication
of the lessons learned. Considering these five important challenges, and a new challenge
of establishing knowledge network, incubators need to continuously encourage team
members‟ to manage their knowledge especially explicit knowledge which was found
not to be well managed, yet it can have serious ramifications to the organization for
example if a team member leaves before storing his/her knowledge. In this case the
incubators should consider placing an exit timeline so that the person leaving has
sufficient time to transfer his accumulated knowledge to either his colleagues or to the
new employee.
Thorough communication of the lessons learned was observed in one of the incubators.
As KM best practice found, there was the use of exit interview forms to capture the
entrepreneurs‟ experiences at the end of the incubation period. We therefore suggest to
other incubators to adopt this knowledge tool to capture the successes, failures, lessons
learned and other knowledge management challenges faced by the entrepreneurs during
their stay in the incubators. In this way, important information which may be useful for
future projects are captured and stored. Furthermore, learning from failed projects
would represent a new valuable approach to the incubators as they mostly emphasize on
the successful projects.
Also, its worth to highlight the importance of open environment for knowledge sharing
between team members as well as all people situated in the incubator. As it was
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mentioned, formal documentation and databases are not frequently used; hence
knowledge in the incubators is widely transferred in the form of tacit knowledge. That is
why important organisational and project knowledge cannot be saved if not shared with
colleagues in a timely manner.
Similarly, open communication and internal networking were apparently weak in some
incubators. We strongly recommend to those incubators to reconsider strengthening
their internal knowledge networks and communication. For example, take regular input
from potential customers or partners, not stick to the original idea (modify it if needed),
encourage informal meetings, share contacts and ideas and be open to other people.
Thus, by conducting this study and analysing its findings, the researchers feel that the
knowledge gap that had existed before on knowledge management challenges in
incubator projects has partially been filled and new knowledge created. This is also a
first step toward building on the pool of available literature and empirical data on the
research area.
In this study, the researchers used a smaller sample size of six interviews to collect data.
The adoption of smaller sample size was as a result of two constraints. First, time
constraint could not allow the researchers to go for a larger sample size that would have
provided more precision. Second, since the study was descriptive, it restricted the
researchers to conduct an extensive study and therefore much attention was paid into
detail when gathering data. Thus, the findings of this study cannot be generalized to the
population at large.
The study adopted semi-structured interview technique to obtain data from the six
respondents from three incubators in Umea. The use of face-to-face interviews as the
only data collection method limited the researchers to include other cities in Sweden
into the study. Considering other data collection techniques like a combination of
interviews and questionnaires would have enabled the researchers to expand the
sampling area, hence obtain a more representative data on the Swedish incubators.
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6.6 Areas for further research
As mentioned earlier, project management as a knowledge field has not been given
much attention in the literature. More so the literature linkage between knowledge
management and project management in the incubator projects revealed virtually no
research. Only a few papers were found on project management models as innovation
facilitators for incubation projects.
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APPENDICES
Interview Outline
Background Questions
b) How many years have you been involved with start-up projects?
e) How many new start-up projects are you coaching, and what types?
Main Questions
Q1. Lessons not learned from the previous projects: What do you learn in a
project? How do you bring anything to the next projects?
Q2. Team selection flawed: What types of expertise are typically involved in a
start-up project? How do you select your team members, if selection process
exists?
Q3. Volatility in the Governance Team: Is there a governance structure for each
start-up project? How does the change of governance members affect the
performance of the projects?
Q4. Lack of Role Knowledge among the Governance Team: Are everyone from
the project governance board aware of his/her role and do you think they need
some project management (PM) training in order to support the projects more
effectively?
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Q5. Inadequate knowledge integration: Which tools of PM do you use to integrate
scientific, technical and business knowledge in a project? Is it an issue?
Q7. Exit of team members: How do you handle team member exit from the project?
How do you manage the missing knowledge that they contribute?
Q8. Lack of Knowledge Map: Is it important for your project team to be aware of
peers‟ expertise and overall knowledge available in the team? Have you created
a knowledge map?
Q9. Knowledge Loss between Phases: As your projects consist of four different
phases, how do you make certain that knowledge generated from one phase of
the project is transmitted to the next phase without any losses?
**Concluding Questions
2. From your experience, what are some of the knowledge management practices
you think would ensure success for start-up projects?
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Appendix 2: Introduction Letter to Respondents
This research seeks to identify the knowledge-based problems affecting the success
of start-up projects - specifically asking where and how knowledge gaps are formed
and identify knowledge management challenges within start-up projects as observed by
project managers (business coaches).
Thank you very much for considering this request for your participation. If you or
someone in your organization is willing to provide us with your insight, we will arrange
a mutually agreeable time for the interview, preferably in November 2010. In return,
you will receive a copy of our thesis with detailed findings and copies of any subsequent
publications.
If you have any questions, please contact Andreas Nilsson, School of Business, Umea
University. Andreas can be reached at andreas.nilsson@usbe.umu.se or at 090 7867730.
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Umeå School of Business
Umeå University
SE-901 87 Umeå, Sweden
www.usbe.umu.se
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