A Conceptual Framework for IS Project Success
Thanh D. Nguyen1,2 ✉ , Tuan M. Nguyen2, and Thi H. Cao3
(
1
)
Banking University of Ho Chi Minh City, Ho Chi Minh City, Vietnam
thanhnd@buh.edu.vn
2
HCMC University of Technology, Ho Chi Minh City, Vietnam
n.m.tuan@hcmut.edu.vn
3
Saigon Technology University, Ho Chi Minh City, Vietnam
thi.caohao@stu.edu.vn
Abstract. The global IT development is becoming ever more dominant.
Notwithstanding, most of the projects of IS are not satisfied – the IS projects are
still experiencing failure. This research reviews the IS project success with the
multi-dimensional and multi-level approaches. Various works in academic jour‐
nals and conferences from 1992 to 2016 were elaborated. The findings indicate
that empirical studies are crucial. Interestingly, a mutual relationship between
three themes of works (project success, IS success, and acceptance and use of
technology) has been identified. Consequently, a conceptual framework provides
the comprehensive explanation for IS project success is shown, which could be
a promising avenue of IS research.
Keywords: IS success · IS project success · Acceptance and use of technology
1
Introduction
The global information technology (IT) development is becoming ever more dominant
[43]. Notwithstanding, most of the information systems (IS) projects are not satisfied –
a failure of the IS projects. There are roughly 60% of the projects of IS are a problem
about cost and time [64]. According to highly cited CHAOS, the success rate of the IS
project is only about 29% to 39% in the period of 2004–2013 [5]. This estimation
provides the IS success rate should be ameliorated, inasmuch the majority of the projects
of IS were not satisfied.
The works on the technology acceptance (Davis [16]); acceptance and use of tech‐
nology (Venkatesh et al. [81, 84]); IS success (DeLone and McLean, [18–20]); and
project success (Belassi and Tukel [3]; Pinto and Prescott [48, 49]), which have accom‐
modated the theoretical models for the project management and IT/IS. There are several
works on the project success, IS success, and acceptance and use of technology.
However, the studies did not provide all factors which impact on the effectiveness of IS
projects – the IS project success, the relationship between those factors and project
success, especially, the discrimination among them (IS success, project success, accept‐
ance and use of technology). Therefore, a work about the IS project success is the indis‐
pensable study.
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017
P. Cong Vinh et al. (Eds.): ICCASA 2016, LNICST 193, pp. 142–154, 2017.
DOI: 10.1007/978-3-319-56357-2_15
A Conceptual Framework for IS Project Success
143
This research literatures articles from the academic papers in 3 research topics: (1)
acceptance and use of technology (TRA [23], TPB [1], TAM [16], TAM2 [80], TAM2’
[77], TAM3 [79], UTAUT [81], UTAUT2 [84]); (2) IS success (DeLone and McLean
[18–20]); (3) project success (Belassi and Tukel [3]; Pinto and Prescott [48, 49]; Pinto
and Slevin [50, 51]). A more correlated list of works (Hughes et al. [27]; Nguyen [40];
Petter et al. [45–47]; Rai et al. [53]; Seddon [60]; Tate et al. [69]). Correspondingly, the
authors consistently synthesize scientific review of respectable papers for providing an
entire list of sources of related works on the IS project success. Besides, a conceptual
framework provides the comprehensive explanation for IS project success is shown,
which could be a promising avenue of IS research.
2
Related Works
2.1 Literature Review
Acceptance and Use of Technology. Technology Acceptance Model (TAM) exculpates
the acceptance of technology, and the elements can account for the system usage
behavior [16]. TAM is extensively used in illuminating use intention and use behavior
of IS users. Nevertheless, TAM requires convenient effusion, exposition, and prognos‐
tication is limited. Thus, usefulness on TAM2 [80] and ease of use on TAM2’ [77], and
both on TAM3 [79] which engraved immemorial the forces of prior works, evidently
TAM to paraphrase use intention in the cognitive processes and social influence.
Venkatesh et al. [81] had proposed Unified Theory Acceptance and Use of Tech‐
nology (UTAUT), explaining the IT/IS use intention and use behavior. This model cited
from some theoretical frameworks, namely TAM [16]; Theory of Planned Behavior
(TPB) [1]; Theory of Reasoned Action (TRA) [23]; TPB and TAM integrated model
[70]; Diffusion of Innovations (DOI) [55]; Model of Personal Computer Utilization
(MPCU) [71]; Motivation Model (MM) [17]; and Social Cognitive Theory (SCT) [9].
Venkatesh et al. [84] added more factors to UTAUT, called UTAUT2.
Investigation of theory based works revealed the acceptance and use of technology
are divided into two branches that are TAM and UTAUT: (1) Based on TPB, TRA and
the related theories (DOI, PMCU, MM, SCT) for building the technology acceptance
model (TAM, TAM2, TAM2’, TAM3…). (2) Unified theory of acceptance and use of
technology (UTAUT, UTAUT2). A common trouble in the acceptance and use of tech‐
nology work, the authors only cite the original models (TAM, UTAUT) without the
extending frameworks [78] – a mark Venkatesh et al. [82] was commencement previous
eight years. In the global, every day, enduring many studies on the acceptance and use
of technology was jactitation, but they do not show any new theory. However, ideas
necessitate the technology adoption works, e.g., the approach at TAM3’s three levels
(organization, team, and individual); adding more variables; considering new work
contexts (managers and consumers); and proposing new mechanisms (hedonic motiva‐
tion, habit, and net impact). Therefore, that accommodates the approaching works wellfounded the technology adoption (project success and IS success).
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IS Success. There are nearly as many measures as IS success; it is comprehensible when
considering that “information”, a message or an IS output in a communication system,
can be measured at 3 levels, including technical, semantic, and effectiveness [18]. In the
communication, technical level as the system efficiency and propriety that information
effectively; semantic level as the information success in promulgating intended meaning;
and effectiveness level as the information impact on the receiver (Shannon and Weaver
[63]). Thus, “effectiveness” as “influence” and information as “event hierarchy take
place at an information system receiving which may be used to identify the various
approaches that might be used to measure output at the influence level” (Mason [35, p.
227]). The events include the information application and information receipt, control‐
ling a transform in system performance and recipient behavior [18].
DeLone and McLean [18, p. 88] propounded that “the model of IS success clearly
needs further validation and development before it could serve as a basis for the appro‐
priate IS measure selection” after proposing an original D&M model. Besides, some
authors deprecated that the original IS success model is insufficient and recommended
that more factors should be included in this model or presented other models. Then,
Seddon [60]; Seddon and Kiew [61] advocated that the original D&M gaps compre‐
hensiveness and further re-specified the IS success model by discriminating actual and
expected influences, as well as by usefulness in TAM [16]. The correlated works
contributed the general knowledge of the IS success theme. They construct that the works
of IS success extensively reviewed the organizational and individual levels (Petter et al.
[45]; Tate et al. [69]), not revised at the team level – these are theoretical gaps for
developing other models on the IS success. Then, DeLone and McLean [19] updated
the IS success design from the original D&M, and other authors also enhanced other IS
success models from the D&M models (Gable et al. [25, 26]; Seddon [60]).
Besides, the IS success (DeLone and McLean [18–20]) and the acceptance and use
of technology (TAM, UTAUT), there is the relationship among two theories. Distinctly,
use intention and use appearing in both subjects [25, 60, 91]; the research on the sufficient
model between the IS success and acceptance and use of technology [6, 57]. Also, the
IS success works related to the success of project [22, 40].
Project Success. Schultz et al. [58] proposed the first efforts classify critical factors.
The element groups at two accomplishment phases affecting project performance, top
management support, project mission, project schedule. For each stage of works, Pinto
and Slevin [50] invented success factors as Pinto and Prescott [48] provided the relative
importance of once. That found the success factor correlation at different project periods.
“Success factors” was proposed by Daniel [12]. The relationship between the project
“critical success factors” (CSF) and the project success via the success criteria [12],
e.g., Subiyakto and Ahlan [65] proposed the IS project success model from the project
success criteria and project criteria. Rockart [56] had developed CSF as a management
term for a factor indispensable for achieving its mission of the organization. CSF is a
major factor in consolidating the organizational success, e.g., user involvement is one
CSF for an IT/IS project success.
Accordingly, the scholars were only respected in the success of the project from the
fundamentals of project management, e.g., infrastructure, project goal, top management
A Conceptual Framework for IS Project Success
145
support, team capabilities [10, 11]. Then, scholars were interested in the customer satis‐
faction, project quality, project economic [14, 39]. Thus, for a success of IS project, the
study propensities related to IS success as well as acceptance and use of technology.
The studies involved constituting the project success CSF list [3, 13, 48–50, 73], these
are the criteria can increase project success’s likelihood. Although the study has tried
to propose many models that deputize the successful concepts [18–20, 24], but has not
served all IS project success key factors. The authors also impale on testing the success
standards in the context of the acceptance of project [2, 21, 29]. The project success or
failure depends on the CSFs alignment for project implementation and the matching
competence of the success criteria [27].
Furthermore, Ika et al. [30]; Westerveld [90] manifested, it has conspicuous between
the project success and the CSFs. For instance, Subiyakto et al. [67] based on Davis [15];
DeLone and McLean [18–20]; Espinosa et al. [22]; Sudhakar [68] pointed out an IS
project success model. Next, Putra et al. [52] inherited this model to suggest another IS
project success model…
IS Project Success. Wateridge [87] cited from the Morris and Hough [38] and Turner
[74] works to propose an IT project success model with the project factors (sponsor,
manager, team, and user) can impact on the IT project success criteria (characteristics,
time, cost, and user requirements). Wateridge [88] added some IS project success criteria
(quality and user satisfaction). Espinosa et al. [22] inherited and built the IS project
success from previous studies. For example, DeLone and McLean [18–20]; Ika et al.
[30]; Pinto and Slevin [50]; Wateridge [87] with several factors: compliances (time and
cost), success (economic and product), user satisfaction. Subiyakto and Ahlan [65]
developed an IS project success model. Accordingly, the framework cited from the
common collaboration and comparison. Davis [15] designated according to HIPO
(process), the project success theory (Wateridge [87]), DeLone and McLean [18–20],
the environmental projection theory (Lim and Mohamed [34]). A model is delegating
the relationship among the CSF (user satisfaction, system use, and IS project success)
and the IS project criteria (stakeholders, resources, and environment).
Besides, the project success works (Belassi and Tukel [3]; Pinto and Slevin [50,
51]); IS success (DeLone and McLean [18–20]). The IS project success works (Nguyen
[40]; Subiyakto et al. [66]); the study inquired the relationship among these papers.
Service quality, system use, user satisfaction, and net benefits emerging in both themes
(Espinosa et al. [22]; Subiyakto et al. [67]). In addition, the works of project success
also showed the studies of acceptance and use of technology. User satisfaction, accept‐
ance of project emerging in both topics (Ika et al. [30]; Schultz et al. [58]).
2.2 Research Method
There are four phases of this work: (1) identifying a specific material item; (2) deter‐
mining the particular period for searching scientific documents; (3) selecting the related
studies; (4) proposing a conceptual framework.
Identifying a clear material item that was as discriminating, the academic journals
published the papers of the leading authors. In addition, the top MIS journals [89] are
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considered. Besides, the MIS journals in the top rankings are also examined [59]. The
best MIS international conferences are also examined. Determining the appropriate
period for searching scientific documents. With the acceptance and use of technology,
review from 1987 to 2016; with the IS success, the period between 1992 and 2016 was
considered; with the project success, literature from 1987 and 2016. The research
reviews the theoretical background will be searched for the theories’ starting point. After
that, from the variety of published sources in the period (up to 2016), choosing the
articles related to 3 topics. All papers had been searched in Google Scholar selecting
articles for the literature review. Completing the selection process, examining the paper
list on the success of IS projects, remove unnecessary items. Based on related studies,
the authors accentuate a conceptual framework for IS project success.
3
Research Results
3.1 Article Results
There are 169 re-selected items from roughly 200 papers were initially searching criteria
(Sect. 2.2). The related sections are analyzed and reviewed in detail. There are 58 articles
described in “review study” or “none–empirical/conceptual study” and 101 papers
“empirical study”.
The works of “none–empirical/conceptual study” are disjointed on the left (Fig. 1),
comprising “speculation/commentary”; “review study” “conceptual/framework model”.
In 58 papers, there are 43 papers on framework/conceptual model (Davis [16]; DeLone
and McLean [18–20]; Venkatesh et al. [81, 84, 85]), and 6 articles on commentary/
speculation (Gable et al. [25, 26]; Rai et al. [53]). Also, there are 8 papers on “literature
review” (Hughes et al. [27, 28]; Urbach et al. [75]; Venkatesh [78]).
Fig. 1. The research approach summary of the success of IS project [44]
A Conceptual Framework for IS Project Success
147
Moreover, the findings of this work externalized that, 47 papers on the application
(Byrd et al. [4]; Wang and Yang [86]). Including, 19 papers on the application of IS, 8
articles on the implementation of organizational IS and success of organizational IS are
specified, and other empirical works (Chu and Chen [7]; Nguyen et al. [41–43]). It has
32 papers on the individual level (Davis [14]; Petter et al. [45]; Tate et al. [69]), 5 papers
on the team level (Jetu and Riedl [31]; Lee et al. [33]). It has 12 papers on the organi‐
zational level (Cserhati and Szabo [11]; Gable et al. [26]). Totally, the research results
of the synthesis regard the success of IS project, thorough the theoretical basis under‐
standing – acceptance and use of technology; project success criteria; project success;
the relationship among 3 themes of the works (IS success, project success, and accept‐
ance and use of technology).
The empirical studies disjointed on the right - 5 bars (Fig. 1). In which, 101 papers
are approaching 3 topics of the works (acceptance and use of technology, IS success and
project success). It has 52 papers on acceptance and use of technology (DeWit [21];
Putra et al. [52]; Venkatesh et al. [82]). There are 14 papers orderly to IS success
(Sambasivan et al. [57]; Subiyakto et al. [67]; Wixom and Todd [91]), and 6 papers
orderly to project success (Atkinson [2]; Coombs [10]; Subiyakto and Ahlan [65]).
Besides, there are 52 papers on the IS success; there are 14 articles on the acceptance
and use of technology (Sambasivan et al. [66]; Wixom and Todd [91]) and 9 papers on
the project success (Muller and Jugdev [39]; Westerveld [90]). The research from the
original D&M are 8 papers (Renzel et al. [54]) and updated D&M are 21 papers (Wixom
and Todd [91]). There are 29 papers on the project success, it has 6 papers interested in
the acceptance and use of technology (Atkinson [2]; Coombs [10]; Subiyakto and Ahlan
[65]). There are 9 papers on the IS success (Ika [29]; Muller and Jugdev [39]; Westerveld
[90]). Differently, there are 4 papers related to 3 themes of the works (acceptance and
use of technology, IS success, and project success) (Putra et al. [52]; Subiyakto and
Ahlan [65]).
3.2 IS Success, Project Success, and Acceptance and Use of Technology
The works of Belassi and Tukel [3]; DeLone and McLean [18–20]; Pinto and Prescott
[48, 49]; Pinto and Slevin [50, 51]; Seddon [60]; Seddon et al. [62] are the distinctive
work of the project success. Nguyen et al. [43]; Petter et al. [45–47]; Urbach and Muller
[76]; Tukel and Rom [73] work on the success of IS. Espinosa et al. [22]; Nguyen et al.
[42]; Putra et al. [52]; Subiyakto et al. [67]; Wateridge [87, 88] work on the IS project
success. The studies of Ajzen [1]; Davis [16]; Fishbein and Ajzen [23]; Venkatesh et al.
[81, 84] are the figurative works of the acceptance and use of technology. The works of
Thong [72]; Venkatesh et al. [83] are the standard studies of IS acceptance.
In each topic, there are some gaps, e.g., authors have aggregated testing the accept‐
ance and use of technology theoretical model (TPB, TAM) without propounding any
appendage model, do not concentrate more theories. The majority of the related studies
manipulated separately for a theme and fragment of research: (1) acceptance and use of
technology (Fishbein and Ajzen [23]; Davis [16]; Venkatesh et al. [81, 83]). (2) IS
success (DeLone and McLean [18–20]; Petter et al. [45–47]; Seddon and Kiew [61];
Seddon [60]). (3) Project success (Belassi and Tukel [3]; Cleland and King [8]; Pinto
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and Prescott [48, 49]; Pinto and Slevin [50, 51]) (Fig. 2). Meanwhile, Venkatesh et al.
[82] recommended other authors can expand more theoretical models of acceptance and
use of technology the initial model (TAM, UTAUT). Venkatesh [78] has repeated that
issue after eight years, no new theoretical models based on TAM or UTAUT. Never‐
theless, there are not anymore extend models contributing to the technology adoption
[78].
Fig. 2. Acceptance and use of technology, IS Success and project success [46]
The findings of the review have been detailed in Table 1. In which, with acceptance and
use of technology, called usefulness, ease of use in TAM [16, 79, 80]; hedonic motiva‐
tion, facilitating conditions, social influence in UTAUT [81, 84]; attitude toward using in
TPB [1], TAM [16, 79, 80]; behavioral intention, use behavior in TAM [16, 79, 80],
UTATU [81, 84]; and new mechanisms as the newest recommendation of Venkatesh et al.
[85]. With the success of IS, namely information quality, system quality, usage, individual
impact, and organizational impact in original D&M model [18], and updated D&M model
[19]; service quality, user satisfaction, use intention, and net benefits in the updated DeLone
and McLean [23]; other elements in Gable et al. [25, 26]; Petter et al. [45]; Seddon [60];
and new mechanisms as the newest recommendation of Venkatesh et al. [85].
Table 1. Some related concepts of 3 themes of studies
Acceptance and use of technology
– Usefulness
– Ease of use
– Hedonic motivation
– Social influence
– Facilitating conditions
– Habit
– Price value
– Attitude toward using
– Use intentiona
– Use behaviora
– New mechanismsa
a
Appearing in the other topics
IS success
– System quality
– Service quality
– Information quality
– Use intentiona
– User satisfactiona
– Usagea
– Individual impacta
– Organizational impacta
– Net benefitsa
– New mechanismsa
Project success
– Critical success factors…
– Project performance
– IS project successa
– Project successa
– New mechanismsa
A Conceptual Framework for IS Project Success
149
With the project success, called critical success factors, performance, project success
in Belassi and Tukel [3]; Pinto and Prescott [48, 49]; Pinto and Slevin [50, 51]; and new
elements in Davis [14]. Besides, with IS project success, there are related concepts in
the studies of Espinosa et al. [22]; Hughes [27, 28]; Wateridge [87, 88].
Interestingly, the work related to others, e.g., use intention and usage appear in both
of IS success and acceptance and use of technology. Project approval and user accept‐
ance have exposed in the both of project success and IS success; user acceptance appears
in the both of acceptance and use of technology and project success.
3.3 A Conceptual Framework for IS Project Success
Because the IS projects have seemingly had more complicated than those in other areas
[36], it is evident that the related studies should take both multiple perspectives (tech‐
nical, organizational, personal) as indicated in Mason [35]; Mitroff and Linstone [37])
and multiple levels (individual, team, organization) [32] approaches. Consequently, a
conceptual framework is depicted in Figs. 3, 4, and 5. It should be noted that IS success
could be both mediator and moderator in the relation between project success and
acceptance and use of technology.
Fig. 3. Direct effect model
Fig. 4. Moderator effect model
Fig. 5. Mediator effect model
In the author’s conceptual framework, there are 3 effect models:
(1) Direct effect model (Fig. 3): acceptance and use of technology – independent
dimensions (usefulness, ease of use, social influence, price value, habit and new
mechanisms), and IS success – independent dimensions (service quality,
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T.D. Nguyen et al.
information quality, system quality, and new mechanisms). Project success –
dependent dimensions (performance, IS project success, project success, and new
mechanisms).
(2) Moderator effect model (Fig. 4): acceptance and use of technology – independent
dimensions (ease of use, usefulness, social influence, price value, habit and new
mechanisms). Project success – dependent dimensions (performance, IS project
success, project success, and new mechanisms). IS success – moderator dimensions
(service quality, information quality, system quality, user satisfaction, use inten‐
tion, usage, and new mechanisms).
(3) Mediator effects model (Fig. 5): acceptance and use of technology – independent
dimensions (ease of use, usefulness, social influence, price value, habit, and new
mechanisms). Project success – dependent dimensions (performance, IS project
success and new mechanisms). IS success – meditation dimensions (user satisfac‐
tion, use intention, usage, and new mechanisms).
The concepts of technology adoption are viewed as the independent dimensions. The
concepts of IS success are viewed as the moderator dimensions and also viewed as the
mediator dimensions on the relation to the concepts of IS project success – dependent
dimensions. That will establish opportunities for work trends in the future.
4
Conclusions
This work synthesized the project success, IS success, and acceptance and use of tech‐
nology studies as a review using the methods of multi-dimensional to explore the rela‐
tionship among three theoretical key constructs. This work analyzed 200 articles from
1992 to 2016 in the top academic journals and conferences to identify the theoretical
foundation and approaches to deal with the mutual relationship among three themes, as
acceptance and use of technology, IS success, and project success. The findings propose
a conceptual framework for IS project success, which maintains that the antecedent –
the acceptance and use of technology, an outcome – IS project success, but IS success
ranging from the precursor, the moderator to the mediator of this triadic relationship.
Given the increasingly important role of IS projects in nowadays, the conceptual model
for IS project success may indicate a high flow of IS works in entire.
References
1. Ajzen, I.: From intentions to actions: a theory of planned behavior. In: Kuhl, J., Beckmann,
J. (eds.) Action Control, pp. 11–39. Springer, Heidelberg (1985)
2. Atkinson, R.: Project management: cost, time and quality, two best guesses and a
phenomenon, its time to accept other success criteria. Int. J. Proj. Manag. 17(6), 337–342
(1999)
3. Belassi, W., Tukel, O.: A new framework for determining critical success/failure factors in
projects. Int. J. Proj. Manag. 3(14), 141–151 (1996)
4. Byrd, T., Thrasher, E., Lang, T., Davidson, N.: A process-oriented perspective of IS success:
examining the impact of IS on operational cost. Omega 34(5), 448–460 (2006)
A Conceptual Framework for IS Project Success
151
5. CHAOS: The standish group report (2014). https://www.standishgroup.com
6. Chen, J., Chang, J., Kao, C., Huang, Y.: Integrating ISSM into TAM to enhance digital library
services: a case study of the Taiwan digital meta-library. Electron. Lib. 34(1), 58–73 (2016)
7. Chu, T.H., Chen, Y.Y.: With good we become good: understanding e-learning adoption by
theory of planned behavior and group influences. Comput. Educ. 92, 37–52 (2016)
8. Cleland, D., King, R.: System Analysis and Project. McGraw-Hill, New York (1983)
9. Compeau, D., Higgins, C.: Application of social cognitive theory to training for computer
skills. Inf. Syst. Res. 6(2), 118–143 (1995)
10. Coombs, C.: When planned IS/IT project benefits are not realized: a study of inhibitors and
facilitators to benefits realization. Int. J. Proj. Manag. 33(2), 363–379 (2015)
11. Cserhati, G., Szabo, L.: The relationship between success criteria and success factors in
organisational event projects. Int. J. Proj. Manag. 32(4), 613–624 (2014)
12. Daniel, D.: Management information crisis. Harv. Bus. Rev. 39(5), 111–121 (1961)
13. Davies, T.: The ‘‘real’’ success factors on projects. Int. J. Proj. Manag. 20, 185–190 (2002)
14. Davis, K.: A method to measure success dimensions relating to individual stakeholder groups.
Int. J. Proj. Manag. 34(3), 480–493 (2016)
15. Davis, W.S.: HIPO hierarchy plus input-process-output. In: Davis, W.S., Yen, D.C. (eds.) The
Information System Consultant’s Handbook, Systems Analysis and Design, pp. 503–510.
CRC, Boca Raton (1998)
16. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information
technology. MIS Q. 13(3), 319–340 (1989)
17. Davis, F.D., Bagozzi, R., Warshaw, P.: Extrinsic and intrinsic motivation to use computers
in the workplace. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)
18. DeLone, W., McLean, E.: Information systems success: the quest for the dependent variable.
Inf. Syst. Res. 3(1), 60–95 (1992)
19. DeLone, W., McLean, E.: Information systems success: a ten-year update. J. Manag. Inf. Syst.
19(4), 9–30 (2003)
20. Delone, W., McLean, E.: Measuring e-commerce success: applying the DeLone & McLean
information systems success model. Int. J. Electron. Commer. 9(1), 31–47 (2004)
21. DeWit, A.: Measurement of project success. Int. J. Proj. Manag. 6(3), 164–170 (1988)
22. Espinosa, J., DeLone, W., Lee, G.: Global boundaries, task processes and IS project success:
a field study. Inf. Technol. People 19(4), 345–370 (2006)
23. Fishbein, M., Ajzen, I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory
and Research. Addison-Wesley, Reading (1975)
24. Fortune, J., White, D.: Framing of project critical success factors by a systems model. Int. J.
Proj. Manag. 24(1), 53–65 (2006)
25. Gable, G., Sedera, D., Chan, T.: Enterprise systems success: a measurement model. In: ICIS
Proceedings, Seattle (2003)
26. Gable, G., Sedera, D., Chan, T.: Re-conceptualizing information system success: the ISimpact measurement model. J. AIS 9(7), 377–408 (2008)
27. Hughes, D., Dwivedi, Y., Simintiras, A., Rana, N.: An analysis of the components of project
success. In: Hughes, D., Dwivedi, Y., Simintiras, A., Rana, N. (eds.) Success and Failure of
IS/IT Projects, pp. 27–43. Springer, London (2016)
28. Hughes, D., Dwivedi, Y., Rana, N., Simintiras, A.: Information systems project failure –
analysis of causal links using interpretive structural modeling. Prod. Plan. Control 27(16),
1313–1333 (2016)
29. Ika, L.: Project success as a topic in project management journals. Proj. Manag. J. 40(4), 6–
19 (2009)
152
T.D. Nguyen et al.
30. Ika, L., Diallo, A., Thuillier, D.: Critical success factors for world bank projects: an empirical
investigation. Int. J. Proj. Manag. 30(1), 105–116 (2012)
31. Jetu, F., Riedl, R.: Determinants of information systems and information technology project
team success: a literature review and a conceptual model. Commun. AIS 30(1), 455–482
(2012)
32. Jones, A., Gallivan, M.: Toward a deeper understanding of system usage in organizations: a
multilevel perspective. MIS Q. 31(4), 657–679 (2007)
33. Lee, J., Park, J., Lee, S.: Raising team social capital with knowledge and communication in
information systems development projects. Int. J. Proj. Manag. 33(4), 797–807 (2015)
34. Lim, C., Mohamed, M.: Criteria of project success: an exploratory re-examination. Int. J. Proj.
Manag. 17(4), 243–248 (1999)
35. Mason, R.: Measuring information output: a communication systems approach. Inf. Manag.
1(4), 219–234 (1978)
36. Metcalfe, M., Lynch, M.: Arguing for information systems project definition. In: Wynn, E.H.,
Whitley, E.A., Myers, M.D., DeGross, J.I. (eds.) Global and Organizational Discourse About
Information Technology, pp. 295–321. Springer, New York (2003)
37. Mitroff, I., Linstone, H.: The Unbounded Mind: Breaking the Chains of Traditional Business
Thinking. Oxford University Press, Oxford (1995)
38. Morris, P., Hough, G.: The Anatomy of Major Projects: A Study of the Reality of Project
Management. Wiley, Chichester (1987)
39. Muller, R., Jugdev, K.: Critical success factors in projects: Pinto, Slevin, and Prescott – the
elucidation of project success. Int. J. Manag. Proj. Bus. 5(4), 757–775 (2012)
40. Nguyen, T.D.: A structural model for the success of information system projects. J. Sci.
Technol. Dev. 18(2Q), 109–120 (2015)
41. Nguyen, T.D., Nguyen, D.T., Cao, T.H.: Acceptance and use of information system: elearning based on cloud computing in Vietnam. In: Linawati, Mahendra, M.S., Neuhold, E.J.,
Tjoa, A.M., You, I. (eds.) ICT-EurAsia 2014. LNCS, vol. 8407, pp. 139–149. Springer,
Heidelberg (2014). doi:10.1007/978-3-642-55032-4_14
42. Nguyen, T.D., Nguyen, D.T., Nguyen, T.M.: Information systems success: the project
management information system for ERP projects. In: Vinh, P., Alagar, V. (eds.) ICCASA
2015. LNCS (LNICST), vol. 165, pp. 198–211. Springer, Cham (2016). doi:
10.1007/978-3-319-29236-6_20
43. Nguyen, T.D., Nguyen, T.M., Cao, T.H.: Information systems success: a literature review. In:
Dang, T.K., Wagner, R., Küng, J., Thoai, N., Takizawa, M., Neuhold, E. (eds.) FDSE 2015.
LNCS, vol. 9446, pp. 242–256. Springer, Cham (2015). doi:10.1007/978-3-319-26135-5_18
44. Nguyen, T.D., Nguyen, T.M., Cao, T.H.: The relationship between IT adoption, IS success
and project success. In: ICACCI Proceedings, pp. 1197–1203. IEEE (2016)
45. Petter, S., DeLone, W., McLean, E.: Measuring information systems success: models,
dimensions, measures, and interrelationships. Eur. J. Inf. Syst. 17(3), 236–263 (2008)
46. Petter, S., DeLone, W., McLean, E.: The past, present, and future of “IS Success”. J. AIS
13(5), 341–362 (2012)
47. Petter, S., DeLone, W., McLean, E.: Information systems success: the quest for the
independent variables. J. Manag. Inf. Syst. 29(4), 7–62 (2013)
48. Pinto, J., Prescott, J.: Variations in critical success factors over the stages in the project life
cycle. J. Manag. 14(1), 5–18 (1988)
49. Pinto, J., Prescott, J.: Planning and tactical factors in the project implementation process. J.
Manag. Stud. 27(3), 305–327 (1990)
50. Pinto, J., Slevin, D.: Critical success factors in effective project implementation. In: Project
Management Handbook, pp. 479–512. Wiley, Hoboken (1988)
A Conceptual Framework for IS Project Success
153
51. Pinto, J., Slevin, D.: Critical success factors in R&D projects. Res. Technol. Manag. 32(1),
31–35 (1989)
52. Putra, S., Subiyakto, A., Ahlan, A., Kartiwi, M.: Coherent framework for understanding the
success of an information system project. Telecommun. Comput. Electron. Control 14(1),
302–308 (2016)
53. Rai, A., Lang, S., Welker, R.: Assessing the validity of IS success models: an empirical test
and theoretical analysis. Inf. Syst. Res. 13(1), 50–69 (2002)
54. Renzel, D., Klamma, R., Jarke, M.: IS success awareness in community-oriented design
science research. In: Donnellan, B., Helfert, M., Kenneally, J., VanderMeer, D., Rothenberger,
M., Winter, R. (eds.) DESRIST 2015. LNCS, vol. 9073, pp. 413–420. Springer, Cham (2015).
doi:10.1007/978-3-319-18714-3_33
55. Rogers, E.: Diffusion of Innovations. Simon and Schuster, New York (1995)
56. Rockart, J.: Critical success factors. Harv. Bus. Rev. 57(2), 81–91 (1979)
57. Sambasivan, M., Wemyss, G., Rose, R.: User acceptance of a G2B system: a case of electronic
procurement system in Malaysia. Internet Res. 20(2), 169–187 (2010)
58. Schultz, R., Slevin, D., Pinto, J.: Strategy and tactics in a process model of project
implementation. Interfaces 17(3), 34–46 (1987)
59. Scopus: Journal Rankings – Subject Category: Management Information Systems. Scimago
Lab (2016). http://www.scimagojr.com
60. Seddon, P.: A respecification and extension of the DeLone and McLean Model of IS success.
Inf. Syst. Res. 8(3), 240–253 (1997)
61. Seddon, P., Kiew, M.: A partial test and development of the DeLone and McLean model of
IS success. ICIS Proc. 4(1), 99–110 (1994)
62. Seddon, P., Staples, S., Patnayakuni, R., Bowtell, M.: Dimensions of information systems
success. Commun. AIS 2(3), 5 (1999)
63. Shannon, E., Weaver, W.: Recent contributions to the mathematical theory of communication.
Math. Theory Commun. 1, 1–12 (1949)
64. Shenhar, A., Dvir, D.: Project management research - the challenge and opportunity. Proj.
Manag. J. 38(2), 93–99 (2007)
65. Subiyakto, A., Ahlan, A.: A coherent framework for understanding critical success factors of
ICT project environment. In: ICRIIS Proceedings (2013)
66. Subiyakto, A., Ahlan, A., Putra, S., Kartiwi, M.: Validation of information system project
success model. SAGE Open 5(2), 1–14 (2015)
67. Subiyakto, A., Ahlan, A., Kartiwi, M., Sukmana, H.: Measurement of information system
project success based on perceptions of the internal stakeholders. Int. J. Electr. Comput. Eng.
5(2), 271–279 (2015)
68. Sudhakar, G.: Model of critical success factors for software projects. J. Enterp. Inf. Manag.
25(6), 537–558 (2012)
69. Tate, M., Sedera, D., McLean, E., Jones, A.: Information systems success research: the twenty
year update? Commun. AIS 34(64), 1235–1246 (2014)
70. Taylor, S., Todd, P.: Understanding information technology usage: a test of competing
models. Inf. Syst. Res. 6(2), 144–176 (1995)
71. Thompson, R., Higgins, C., Howell, J.: Personal computing: toward a conceptual model of
utilization. MIS Q. 15(1), 125–143 (1991)
72. Thong, J.: An integrated model of information systems adoption in small businesses. J. Manag.
Inf. Syst. 15(4), 187–214 (1999)
73. Tukel, O., Rom, W.: Analysis of the characteristics of projects in diverse industries. J. Oper.
Manag. 16(1), 43–61 (1998)
154
T.D. Nguyen et al.
74. Turner, J.: The Handbook of Project-Based Management: Improving the Processes for
Achieving Strategic Objectives. McGraw-Hill, New York (1993)
75. Urbach, N., Smolnik, S., Riempp, G.: The state of research on information systems success.
Bus. Inf. Syst. Eng. 1(4), 315–325 (2009)
76. Urbach, N., Muller, B.: The updated DeLone and McLean model of information systems
success. In: Dwivedi, Y.K., et al. (eds.) Information Systems Theory, vol. 28, pp. 1–18.
Springer, New York (2012)
77. Venkatesh, V.: Determinants of perceived ease of use: integrating perceived behavioral
control, computer anxiety and enjoyment into the technology acceptance model. Inf. Syst.
Res. 11(4), 342–365 (2000)
78. Venkatesh, V.: Technology acceptance model and the unified theory of acceptance and use
of technology. In: Wiley Encyclopedia of Management. Wiley (2015)
79. Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on
interventions. Dec. Sci. 39(2), 273–315 (2008)
80. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four
longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)
81. Venkatesh, V., Morris, M., Davis, G.B., Davis, F.D.: User acceptance of information
technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
82. Venkatesh, V., Davis, F.D., Morris, M.: Dead or alive? The development, trajectory and future
of technology adoption research. J. AIS 8(4), 267–286 (2007)
83. Venkatesh, V., Thong, J., Chan, F., Hu, P., Brown, S.: Extending the two-stage information
systems continuance model: incorporating UTAUT predictors and the role of context. Inf.
Syst. J. 21(6), 527–555 (2011)
84. Venkatesh, V., Thong, J., Xu, X.: Consumer acceptance and use of information technology:
extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178
(2012)
85. Venkatesh, V., Thong, J., Xu, X.: Unified theory of acceptance and use of technology: a
synthesis and the road ahead. J. AIS 17(5), 328–376 (2016)
86. Wang, M.H., Yang, T.Y.: Investigating the success of knowledge management: An empirical
study of small-and medium-sized enterprises. Asia Pac. Manag. Rev. 21, 79–91 (2016)
87. Wateridge, J.: IT projects: a basis for success. Int. J. Proj. Manag. 13(3), 169–172 (1995)
88. Wateridge, J.: How can IS/IT projects be measured for success? Int. J. Proj. Manag. 16(1),
59–63 (1998)
89. Webster, J., Watson, R.: Analyzing the past to prepare for the future: writing a literature
review. MIS Q. 26(2), 13–21 (2002)
90. Westerveld, E.: The project excellence model: linking success criteria and critical success
factors. Int. J. Proj. Manag. 21(6), 411–418 (2003)
91. Wixom, B., Todd, P.: A theoretical integration of user satisfaction and technology acceptance.
Inf. Syst. Res. 16(1), 85–102 (2005)