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International Journal of Innovation Management
Vol. 10, No. 2 (June 2006) pp. 1–19
© Imperial College Press
FROM QUALITY MANAGEMENT TO KNOWLEDGE
MANAGEMENT IN RESEARCH ORGANISATIONS
ASTRID JAIME∗ , MICKAËL GARDONI† and JOËL MOSCA‡
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Laboratoire GILCO, Institut National Polytechnique de Grenoble
46 Ave. Félix Viallet, 38000 Grenoble, France
∗jaime@gilco.inpg.fr
†gardoni@gilco.ing.fr
‡Joel.Mosca@ensgi.inpg.fr
DOMINIQUE VINCK
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Laboratoire CRISTO, Université Pierre Mendès France
BP 47, F- 38040 Grenoble Cedex 9, France
Dominique.Vinck@upmf-grenoble.fr
Received 30 July 2004
Revised 20 July 2005
Accepted 23 July 2005
Some scholars have recognized the important role of publicly funded basic research (Salter,
AJ and BR Martin (2001). Research Policy, 30(3), 509–532; Szulanski, G (2000). Organizational Behavior and Human Decision Processes, 82(1), 9–27) for the production of
knowledge. Among the identified benefits is an increase in “the stock of useful knowledge” available to society, which could be used for innovation and in this way contribute to
economic growth (Szulanski, G (2000). Organizational Behavior and Human Decision Processes, 82(1), 9–27). Thus, it is important to support scientific activities. We claim that a way
to support them is to use quality management complemented by knowledge management
as a way of improving the process followed when carrying out research activities. Consequently, we studied the methods used while implementing a quality management system
within various research organisations. This lead us to propose an approach which integrates
quality management and knowledge management as a way to support the scientific activity.
Keywords: Quality management; knowledge management; research laboratories;
capitalisation; basic research.
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Introduction
According to Chalmers (1991), “the goal of science is to produce knowledge about
the world ”. Therefore, it is an activity that increases “the stock of useful knowledge”
(OECD, 2002) available to society, which could be used for innovation and in
this way contribute to economic growth. However, there are multiple definitions of
knowledge. It is therefore important to define our understanding of the concept. After
looking into several definitions, we propose one based on the work of Frank (2003)
and Simoni (2001) as follows: Knowledge is a temporally stabilized comprehension
resulting from interpretations of information, human experience and reflections
based on a set of beliefs, which resides as fictive objects in people’s mind and is
suitable for transformation into action.
Given that science produces knowledge, the reliability of such knowledge is
an issue that has been reflected upon by certain groups. Among the main ones
are the French Working Group “Quality in Research” and the AFNOR (French
Standardization Association). They have proposed quality management (QM) as
the response to this problem. According to the ISO 9000 — 2000 (AFNOR, 2000a)
QM is defined as the “coordinated activities to direct and control an organization
with regard to quality”. The latter is defined as the “degree to which a set of inherent
(existing) characteristics fulfils requirements”. It is then necessary to understand
the meaning of these concepts in the scientific environment in order to be able to
introduce them. However, fulfilling this requirement requires an understanding of
the actor(s) whose needs research organizations are meant to fulfill. This is not
clear in basic research.1 Additionally, the introduction of QM into the scientific
environment is not currently backed by a well-defined methodology. In fact, QM
has traditionally been used by industry. However, the general characteristics of
scientific activity are different from those of industrial activity in terms of working
conditions, goals, resources, tasks performed, etc. Thus, the introduction of QM
requires a methodology adapted to the scientific environment.
In spite of this, during the last few years, some research organisations have
invested a part of their efforts into QM as a way to deal with the multiple concerns of their activity (see section “The reality observed at research organisations”).
Therefore, we observe a situation where, while some groups claim that QM can be
used by the scientific actors, some research organisations are indeed implementing quality systems within their organisations. For this reason, we have started a
1 According to the OECD (2002), basic research activities are the “experimental or theoretical work
undertaken primarily to acquire new knowledge of the underlying foundation of phenomena and
observable facts, without any particular application or use in view”.
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research process that aims to know the real problems faced by research organisations
when implementing QM systems, and the role this system can play in the transmission of knowledge. In particular, our objective is to verify the hypothesis according to which QM can be used to support the knowledge production process by
providing researchers some tools (which could be methodological) to assist their
activity. Therefore, we find the concept of knowledge management (KM) pertinent.
According to Wunram et al. (2002) it “is the systematic, goal oriented application
of measures to steer and control the tangible and intangible knowledge assets of
organizations, with the aim of using existing knowledge inside and outside of these
organizations to enable the creation of new knowledge, and generate value, innovation and improvement out of it.” Hence, it is desirable to use it in the research
context. For that reason, we will aim at showing how the implementation of QM
systems has led to the introduction of some KM initiatives, in a group of seven
research institutions we have observed.
In the first part of this article, we describe the context of our research. In the
second part, we will show our observations about seven research units trying to
implement QM systems. In the third part, we will look into some KM aspects
at these research units. Finally, we propose a representation of a methodology
for implementing QM and KM as a way of supporting the knowledge production
process.
The Context
Several authors have worked on joint approaches addressing both QM and KM.
For that reason, we propose a typology of the different approaches we have found.
It intends to facilitate the comprehension of the existing approaches and not to
strictly separate them. Thus, we have found several works that could be grouped in
to four types:
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1. Those that propose approaches integrating QM and KM: Zhao and Bryar (2001),
Rodríguez-Ortiz (2003).
2. Those that apply QM and show how QM supports KM: Johannsen (2000),
McAdam (2004), Linderman et al. (2004), Bénézech (2001), Molina et al.
(2004).
3. Those that use KM for improving the results obtained from QM: Galendere-Zile
(2002).
4. Those that apply KM and claim that the use of QM can help achieve better
results: Tsai (2003), Pfeifer (2000).
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In this framework, our hypothesis is that QM, when applied to basic research activities, requires KM. Consequently, we position ourselves in the first group. To verify
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this hypothesis, we have performed a fieldwork as the basis for our research. The
complete research methodology we have used is explained in the next section.
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The research methodology
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Given the lack of literature on QM in research organizations, we have started by
using a sociological approach that is later coupled with the use of engineering
analysis tools. This work has been complemented by the definition of some proposals
and has two main phases:
1. Field work: Sociological work that was performed in several parts.
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• Observation: This phase consisted of the observation of a research laboratory, the ACROE — ICA, where efforts for improving the development of
the activity are carried out, but without following any of the existing Quality
Standards.
• Interviews: In this phase, eight interviews with the people responsible for QM at
seven research organisations where formal efforts of introduction of QMS were
carried out. These interviews account for approximately 16 h of voice recordings. These interviews were done in two stages: The first one, at the beginning
of the year 2002, when two laboratories were interviewed. The second one, during the first semester of the year 2003, when five additional laboratories were
interviewed. It is important to note that the formal character of the initiatives
going on in these laboratories is shown through the establishment of a specific
QM project, with a well-defined working group, a budget allocated for the development of the activities and the support of an external consultant to guide the
activities of the project. These projects, with one exception, have all been started
voluntarily.
• Follow-up study: This consists of the follow-up of the implementation process of
the quality system at a research laboratory during 18 months. This work has been
done at the Astrophysics Laboratory of the Sciences of the Universe Observatory of Grenoble (France), which is one of the seven organisations where
the interviews were carried out. This work corresponds to the participation, as
observer, at eight meetings (of approximately 3 h each) of the piloting committee
responsible for the implementation of the quality management system. This committee is headed by a senior researcher. In it, representatives of the realisation
of the organisational aspects of the laboratory also participate. Concretely, the
person in charge of the administration and the one in charge of the computing
support. Additionally, some researchers, who have additional responsibilities in
charge, also participate. These researchers are the one in charge of communications, the one in charge of the technical support, the one in charge of Safety
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and Hygiene, and the one responsible for training of students. There are also
other persons who participate depending on the subject of the meeting. Among
them is the director of the laboratory, who only participates when a general balance of the project is done. In addition, we participated at four sessions of the
working groups in charge of the realisation of the activities defined by the committee: One session of the working group in charge of the development of the
procedure for the integration of newcomers, another one of the working group
on administration (that works on purchasing, displacements and internal regulations), a session of the working group on the management of instrumental
projects and one session of the working group on quality in research activities.
The latter was the one in which we were more interested. It did not pursue its
activities because the committee considered the project demanded already an
important load of work and decided to wait until the other actions were already
implemented.
2. Analysis of the information gathered: Here the aim was comprehension of the
situation, which would allow us to propose a system for implementing QM at
research organisations.
The reality observed at research organisations
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Through the field work we were able to note that there are several situations present
at research organisations which complicate management:
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— the freedom granted to researchers for the registering of or the traceability of
their activities;
— the diversity of activity fields, working methods and activities;
— the large quantity of records (digital reports and files in particular) to be
managed;
— the large turn-over of researchers,
— the difficulty of establishing, from the beginning of a project, the objective to
be fulfilled and therefore the precise characteristics of the product of research
(which could be a physical product or a conceptual product) and
— the difficulty of access to the history of the realization of a project.
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In addition, interviews with the managers of the laboratory we studied verified that
the objective of research activity could be defined as the growth of knowledge. In
contrast, we noted that there are certain practices, such as the freedom granted to
researchers, that affect the results obtained. The disparities in the contents registered
by researchers entail differences in the information transferred from one project
to another, affecting the sharing and capitalisation of knowledge. Therefore, an
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important question that arises is how to structure and instrument activity in order to
manage and capitalise the knowledge produced. We think that QM could be used
for this purpose, given the formalisation of practices and the constant improvement
spiral it induces in the main processes of the organisations who adopt it.
A project-driven mode of operation
Another important aspect regarding research activities is that, according to the
results of research in the sociology of sciences and our own observations, they are
usually developed in the form of more or less structured research projects. Vinck
(1995) writes
The activities in the laboratory are structured in projects. The
project is a sequential unit whose completion is the writing of a
research report or of a publication. The project seems to be the unit
of organization that allows the allocation of tasks to members of
the laboratory, the ordering supplies, the preparation of equipment,
the proposing of phenomena to be studied and the defining of the
orientation of library research . . . although the various tasks of a
project can be carried out by different people, work is often carried
out by only one person. The reason given by researchers is the need
to access the history of the procedure by which the phenomenon is
made visible.
These observations lead us to consider the practices regarding the management
of projects in a way that allows us to take advantage of the knowledge acquired
and produced in an on-going project for the development of subsequent projects.
From a sociological point of view, a very important aspect seems to be the need
to know the contingent history2 associated with the constitution of a phenomenon
or with the establishment of a fact or a statement. Given this history and the high
mobility of researchers, the issue of the documentation, as a way of elucidating the
process carried out, becomes a concern for the researchers themselves when they
are involved in the reconsideration of a former stage or when they have to take
charge of a project started by a colleague.
This aspect directs our attention towards acute problems of traceability. A basic
problem is to know how to document and transmit the information relating to
2 The expression “contingent history” is used here in the sense that the realisation of research projects
entails contingencies, and as a consequence may present an important variability from one project to
the next.
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intermediate choices and results as a way of supporting the realisation of subsequent research phases or projects.3
In this context, we have studied the various approaches used by some research
entities implementing a QM system. We paid special attention to the management
of information (data, documents, etc.), since “knowledge is based on data and
information” (Wunram et al., 2002). In the next section, we explain the positioning
of QM and our observations regarding its introduction at research organisations.
Research Organisations and Quality Management
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The role of QM
Some institutions around the world have recognised the importance of implementing
QM practices into the research activities. This has led them to establish some directives indicating the implementation of this practice into scientific environments.
Examples include the U.S. Department of Energy which, in 1991, established that
the basic and applied research facilities sponsored by the Office of Energy Research
“shall develop, implement, and maintain a written Quality Assurance Program”,
NASA which, in 1996, decided “to be leaders in the world of quality” (Kasvi
et al., 2003), and the AFNOR which, in 2001, published a documentation booklet
(AFNOR, 2001) that proposes the application of QM to the research process. The
latter is meant to be the first work of this kind at an international level. It marks
a very important step forward in QM in research, given its official nature and its
broad application spectrum. The considerations that preceded the publication of
this document indicated that the key word in this context is “confidence”, mainly
between the laboratory and the external actors (Groupe De Travail Français “Qualité
en Recherche”, 1997). Therefore, QM is seen as a way of keeping scientific rigour
and obtaining valid results. This would imply the establishment of procedures to
maintain the quality of the research activity during all the scientific production process until the validation of results. In the AFNOR document (AFNOR, 2001), “the
approach proposed consists of “Co-producing quality, the knowledge and knowhow associated, by the ensemble of the involved parts within the framework of a
progressive and continuous learning process”. Nevertheless, the recommendations
given are rather general.4 Consequently, it would be necessary to define and implement methods to manage this process in order to try to reach a quality level resulting
from the quality of the process.
3 See Kasvi et al. (2003), Schindler and Eppler (2003) and Szulanski (2000).
4 See (AFNOR, 2004).
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Given these claims, we wanted to compare them to the reasons expressed by
the organisations that have actually started working on these processes. This is the
subject we present in the next section.
The motivations behind work on QM
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The research projects carried out at the observed organisation (see section “The
reality observed at research organisations”) is based on the works done by those
who are its initial founders and current directors. Therefore, the coherence of the
research results with the basic initial concepts is considered fundamental to ensure
robustness in the evolution of the work. Consequently, they realised the need for
establishing QM practices that allow:
1. the maintenance of respect for the basic theoretical principles,
2. the maintenance of coherence between the activities and
3. the facilitation of project development.
According to one of the directors, the volatility of concepts, of “knowledge” necessitates the implementation of the means to maintain them, which means guaranteeing
their conformity to the original meaning and their transmissibility. This is an essential aspect regarding the implementation of QM measures in research organisations:
respect for concepts is one of its major concerns. The problems are mainly related
to the maintenance of the knowledge concerning the scientific concepts that support the activity, because its respect, by all the actors who take part in the research
process, is difficult to attain given the characteristics of the research organisation
(see section “The reality observed at research organisations”).
Nevertheless, there is a divergence between this vision of the management, and
the perception of the personnel, who express a lack of structure in the activity, which
is reflected in very practical situations that affect daily activity. The management has
acknowledged this situation and has concluded that the absence of external directives
leads to a situation where “the first customer of the organization is the team itself”.
It is thus necessary to implement a system that respects the management’s vision
and that, at the same time, satisfies the staff needs.
This situation is verified in the organisations in which we conducted interviews.
All of them, with one exception, started working on QM because of internal needs.
Most of them perceived the need for improvement and found in QM concepts a
possible answer to their concerns. Hence, the motivation comes from inside and not
from outside the organisation.
This observation is important mainly for two reasons: First, the concern stated
by the AFNOR about the confidence of research actors in research results (see
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previous section) was not verified by the cases we observed. If the motivation
of these organisations was confidence, that would mean implementing actions to
respond to a need for validation of research results. However, scientific practices
already include validation methodologies, and therefore, QM is seen rather as a
means to structure the activities of the organisation. Consequently, and here we
arrive at the second reason, the implementation of the system should focus on the
need for ensuring robustness, answering manager’s needs, structuring activities to
facilitate their completion and, in this way, responding to the needs of the personnel.
Therefore, we will aim at finding ways to support the research process and not for
ways of assuring the quality of research results.
Experience of the introduction of QM
To enhance our understanding of the problems seen and to have sufficient elements for analysis, we carried out eight interviews in seven research organisations, located in Grenoble (France) and attached to the CNRS (National Centre of
Scientific Research of France). These interviews account for approximately 16 h
of voice recordings. These recordings were comprehensively transcribed. They
were then analysed to define the possible existing trends in the implementation
processes.
The organisations where we conducted interviews are important research laboratories, with the exception of a service that works for the research laboratories as
a supplier of special equipment for research projects. Most of these organisations
have been engaged in QM since the year 2001.
The systems observed are inspired by the principles of the standard ISO 9001
(AFNOR, 2000b) and have resulted in the establishment of information systems
that aim to facilitate the completion of repetitive processes. In addition, the basic
difference between the quality systems is related to the type of activity carried out:
two of the organisations work in applied research (or the quality system is used
only for this activity) while the others work mainly on basic research. This results
in divergent ways of establishing the systems: the first group, those that work on
applied research, followed a traditional process for the establishment of a quality
system according to the standard ISO 9001 (AFNOR, 2000b), while the second
group, those that work on basic research, has been forced to carry out an analysis
on the way the directives of this standard could be applied to research in order to
adapt them to their own mode of operating. This situation suggests differences in
the methodologies that should be used according to the activities relevant to the
QM system. We are interested in the second group, as is the one focused on basic
research, where traditional methodologies for implementing QM need to be adapted.
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The link between QM and KM
The observations we made lead us to understand that research organisations have
two kinds of activities: scientific activities (basic and applied research), which are
responsible for the production of knowledge; and support activities, which allow the
development of scientific activities. However, the cases we have observed show that
the implementation of QM starts with support activities. Here, the quality concepts
and methods are easily applied by using a methodology based on two elements:
— The formalisation of activities through the definition of procedures and other
support documents that specify the way in which these activities should be
carried out.
— The definition of standardised practices for the management of the related
documents.
The introduction of quality practices to support activities allows the personnel
to get familiar with the quality concepts and methods. At the very beginning of
the implementation process, these concepts and methods are considered to be completely abstract and difficult to internalise, as they do not belong to the traditional
practices used by research organisations.
Regarding the implementation of QM in scientific activities, it has been observed
that the organisations are able to implement it for technical activities and for scientific data management. However, the implementation in research is considered
harder and, therefore, needs to be undertaken only at a later stage, when practices
have somewhat stabilised in support activities. There seems to be two reasons for
this situation:
— First, a defined methodology to apply quality management to scientific activities
does not exist.
— Second, the results obtained by applying quality management to organisational
aspects are easily perceived in the short term by the personnel.
A third cause of this situation could be resistance to change. The laboratories
undertake their research activities by following the practices traditionally used in
research.5 However, to implement a quality system in research activity directly
affects the central activity of the organisation.
In addition, it should not be forgotten that the phenomenon of quality in research
is rather recent. It is thus understandable that the systems initially address the aspects
perceived of as accessible. Additionally, we observe that the lack of documented
5 We refer mainly to the freedom given to research teams and to project leaders to decide on the
procedures used for the realization of research activity.
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Research organisations
Support activities
Scientific activities
(Knowledge production)
QM Organizational
aspects
QM & KM
Fig. 1. The link between QM and KM.
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case studies of the implementation of QM in basic research activities is a factor that
affects enthusiasm for such a process.
For this reason, and taking into account that the resource used and produced out
of research activities is knowledge, our hypothesis is that KM should support the
implementation of QM in these activities (Fig. 1).
These days, some laboratories are starting to consider the role of KM in their
activities. The integration of this principle is expected to be made within the framework of QM as an evolution of this methodology. We shall now present our observations related to certain major elements of the KM theory.
KM in Research Organisations
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As we have already mentioned, our interest is centered on QM in research organisations as establishments devoted to the production of knowledge. It is then possible
to see the existing relationship with the objectives of KM which have been defined
by Steels (1993) as “to promote knowledge growth, knowledge communication and
knowledge preservation”. For this reason, we will now present some elements we
consider important regarding knowledge management practices in the surveyed
research organisations.
The current KM practices in research organisations
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The assertions in terms of capitalisation
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Grundstein (1995) says that there is a “logic of capitalization that proceeds according to two lines of thought:
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• One line of thought is orientated towards the management of knowledge
(management of technical data, document management, management of
configurations);
• Another line of thought is orientated towards the formalization of know-how
(acquisition/representation of the fields of knowledge and of the reasoning relating to this knowledge).”
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We are going to analyse the way in which these lines of thought are present at the
research organisations we have observed. We will look into the way in which the
implementation of QM has contributed to the “logic of capitalization”.
Observations concerning capitalisation
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The QM systems implemented in the research organisations studied up until the
time of writing are orientated towards the first line of thinking (management of
knowledge). They started with the objective of improving the organisational aspects,
mainly through the writing of documents (operational procedures and documents).
For the management of these documents, this methodology has been translated into
information systems, often an Intranet that sometimes manages other documents of
the organisation. This verifies the situation described by Gandon et al. (2002) about
the use of Intranets and the Web as means to manage documentation.6
However, the information systems that we have observed were only used for the
management of documents directly related to the quality system. Unlike the aim
of projects like CoMMA (Galandere-Zile et al., 2002), they do not seek “the management and the circulation of distributed knowledge”. At least this is not the case
for knowledge that surpasses the limits of the one explicitly present in the QM system. For the laboratories that we studied, the documents resulting from the research
process are, in most cases, not managed by these systems.
The systems aim to facilitate the realisation of the activities by providing a
tool that makes it possible to find documents or information and to organise those
produced. The principle of re-utilisation is implicitly present, but not explicitly
expressed. In other words, the systems are developed in order to organise more than
to re-use. In any case, they give elements that make it possible to find documents
for their use. Concerning the second line of thinking (the formalisation of knowhow), it could be said that, usually, implementing QM means formalising at least
a part of the know-how used by the employees of an organisation. In the research
organisations we studied and where we performed interviews, this has been done
for the administrative activities, such as purchasing or contracting. In contrast, this
line of thinking has not been yet addressed for research activities, which continue
to function mainly with little formalisation of the related know-how.
Within this framework, we believe that there is an important place for the utilisation of knowledge capitalisation methodologies. However, the observed cases of
6 Gandon et al. (2002) write “Organisations take advantage of internet technologies to simplify the
diffusion of knowledge, leading to the setup of intranets. Web technologies are used to setup corporate
webs to distribute information in a uniform way independently of the information storage (Corby and
Dieng, 1997)”.
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implementation of QM do not take them into account in an explicit way. For that
reason, we consider it important to explore the concept of corporate memory, whose
construction could be considered as one of the main elements for knowledge capitalisation. In the next section, we will present this concept and examine its meaning
in the scientific environment.
The corporate memory of research organisations
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When talking about knowledge capitalisation, scholars have developed the concept
of corporate or organisational memory, which we consider useful for understanding
certain aspects of the research activity. The reason can be expressed by quoting Stein
(1995) who says that “Organizational Memory is the means by which knowledge
from the past is brought to bear on present activities, thus resulting in higher or lower
levels of organizational effectiveness”.7 It is then pertinent to analyse this concept
in the context of research organisations wanting to better manage their knowledge
production activities. In this framework, we find the definition of organisational
memory proposed by Van Heijst et al. (1997) to be suitable given the elucidation
tradition existing in research. He defines it as “an explicit, disembodied, persistent
representation of the knowledge and information in an organization.”
For starters, we have seen that the implementation of QM is used mainly for
support activities. In other words, there is an effort of formalisation and capitalisation
of the organisational memory for support activities, which is not accompanied by a
similar effort for scientific activities.
In this context, know-how corresponds to knowledge of the way of carrying
out research projects and the activities that support them. This know-how forms
part of the tacit competences8 of researchers and is consequently not formalised.
Additionally, scientific knowledge is the main raw material of the activity, mobilised
by the creativity of the researcher. Therefore, the principles that try to organise
research activity, or part of it, can be perceived of as being non-applicable because
they could be seen as constraining and/or opposite to imaginative creation. However,
we believe that it is possible to implement practices which allow the generated
knowledge to be located, preserved, shared and brought up to date (Grundstein,
2002) for the benefit of the research activity itself.
According to the AFNOR, a process is a “set of interrelated or interacting
activities which transforms inputs into outputs” (AFNOR, 2000a). When talking
about the research process, one could say that it uses as main raw material (as input)
7 He adds that memories are “a particular type of information” and that “a memory is a persistent
record not dependent on a tight coupling between sender and receiver”.
8 See Van Heijst et al. (1997).
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p
Fig. 2. The research process.
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the knowledge accessible to the researchers, internally and externally, in order to
produce new knowledge (the output of the process). Thus, the research process
could be represented as shown in Fig. 2.
For that reason, we find that the typology of corporate memory suggested by
Dieng et al. (1999) appears to be pertinent in this context. This typology distinguishes between the internal memory ( “corresponding to knowledge and information internal to the company”) and the external memory (“corresponding to
knowledge and information useful for the company but coming from the external
world”). According to these authors, the role of corporate memory is to provide
“the right knowledge or information to the right person at the right time and at the
right level” (Dieng et al., 1999). Consequently, the accomplishment of the research
process could be related in a very important way to the researchers’ access to both of
these memories and to their capacity to mobilise them. It would then be desirable to
incorporate measures to facilitate the researchers’ access to the internal and external
memory. The position expressed by Groleau (2002) could be used to support this
idea. She says that “the possibility of increasing the effectiveness of work within
organizations greatly depends on the configuration of information sources offered
to workers in that environment, the vision they offer and the competence of workers
to act upon it”. Therefore, the knowledge capitalisation process should have to take
into account these two kinds of memories (internal and external).
Additionally, as the activity is basically organised in projects, project memory
“comprising the project definition, activities, history and results” (Dieng et al.,
1999) could be seen as the main constituent of the internal memory, and therefore
should be also considered.
As we have shown, we are confronted with a situation where QM starts to
introduce some elements (formalisation, document management and the ideas which
develop from the implementation process) that could support the introduction of
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KM in activities where both internal and external memories are important for the
accomplishment of the activity. For that reason, we propose an approach for the
implementation of QM in research organisations that incorporates KM. This is
the subject we will develop in the next section.
Proposal of Implementation of QM in Research Organisations
Our proposal is to use QM to introduce the principles of KM, making it possible to
capitalise the knowledge produced when undertaking research projects as a way to
improve the knowledge production process. Thus, inspired by the recommendations
given by the AFNOR (2001), we propose a representation of the method as shown
in Fig. 3.
This diagram emphasises the importance of documentation throughout the whole
research process and thus of its management to support the process of knowledge
creation. The subjacent idea is that there is knowledge produced throughout the
research process, which is partially elucidated through documents, so it could be
profitable to exploit this potential.
The proposed approach is that QM methods be used together with KM methods for reinforcing a “logic of capitalization” supported by the construction and
maintenance of the organisational memory related to the completion of research
activities. The subjacent idea is to support the research process by improving the
Fig. 3. Implementation of QM in research organisations.
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inputs (information and data) provided to researchers, by helping them build the
organisational memory as an integral part of their activities. The challenge is to find
ways for effectively implementing it without increasing the work load of researcher.
For that reason, we envision the use of information technologies that could support
researchers in their daily activities and, at the same time, support the construction
of the organisational memory. This is the subject we will explore in the next phase
of our research.
Conclusions
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Our research started with the thoughts of organisations that recommended QM as
a means to support the research process. We have verified that the fundamental
problems of the research organisations we studied are neither the confidence of the
research players nor the reliability of the knowledge produced, but the improvement
of activities carried out. Consequently, our research was aimed at finding ways to
support the knowledge production process and not the quality of the research results.
Accordingly, we proposed a representation of QM in research organisations that
incorporates KM. The idea is to take advantage of both of these approaches in
order to address not only the organisational aspects but also the ones related to
the production of knowledge. The next phase of our research will be to establish
the instruments that could be concretely used for incorporating KM into research
activities.
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