Project risks evolve dynamically, so variations in risk influences during the life cycle of an information system development project require analyses to devise risk management strategies cost effectively and at the appropriate stages. This study extends the Decision Making Trial and Evaluation Laboratory technique, using network theory, to assess the risk interdependencies for distinct project phases. A multiphase observation of a university information system development project in Taiwan provides a more in-depth understanding of the key risk factors. To enhance risk assessments, this study proposes integrating an interdependency indicator with risk exposure measures.
AloiniD., DulminR., & MininnoV. (2012b). Modelling and assessing ERP project risks: A Petri Net approach.European Journal of Operational Research, 220, 484–495.
4.
AlterS., & GinzbergM. (1978). Managing uncertainty in MIS implementation.Sloan Management Review, 20(1), 23–31.
5.
BarkiH., RivardS., & TalbotJ. (1993). Toward an assessment of software development risk.Journal of Management Information Systems, 10(2), 203–225.
6.
BarkiH., RivardS., & TalbotJ. (2001). An integrative contingency model of software project risk management.Journal of Management Information Systems, 17(4), 37–69.
7.
BoehmB. W. (1988). A spiral model of software development and enhancement.Computer, 21(5), 61–72.
8.
BoehmB. W. (1991). Software risk management: Principles and practices.IEEE Software, 8(1), 2–41.
9.
BolanosR., FontelaE., NenclaresA., & PastorP. (2005). Using interpretive structural modeling in strategic decision-making groups.Management Science, 43(6), 877–895.
10.
CarrM. J., SureshL. K., & IraM. F. (1993). Taxonomy based risk identification (CMUISEI-93-TR-6).Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University.
11.
ChuaA. Y. K. (2009). Exhuming IT projects from their graves: An analysis of eight failure cases and their risk factors.Journal of Computer Information Systems, 49(3), 31–39.
12.
DavisG. B. (1982). Strategies for information requirements determination.IBM Systems Journal, 21(1), 4–30.
13.
DeyP. K., KinchJ., & OgunlanaS. O. (2007). Managing risk in software development projects: A case study.Industrial Management & Data Systems, 107(2), 284–303.
14.
FontelaE., & GabusA. (1974). DEMATEL, innovative methods (Report No. 2), Structural analysis of the world problematique. Geneva, Switzerland: Battelle Geneva Research Center.
15.
FontelaE., & GabusA. (1976). The DEMATEL observer (DEMATEL 1976 report). Geneva, Switzerland: Battelle Geneva Research Center.
16.
FreemanL. C. (1979). Centrality in social networks: Conceptual clarification.Social Networks, 1, 215–239.
17.
GeminoA., ReichB. H., & SauerC. (2008). A temporal model of information technology project performance.Journal of Management Information Systems, 24(3), 9–44.
18.
HanW. M., & HuangS. J. (2007). An empirical analysis of risk components and performance on software projects.Journal of Systems and Software, 80(1), 42–50.
19.
HuY., ZhangX., NgaiE. W. T., CaiR., & LiuM. (2013). Software project risk analysis using Bayesian networks with causality constraints.Decision Support Systems, 56, 439–449.
20.
HuangS. M., ChangI. C., LiS. H., & LinM. T. (2004). Assessing risk in ERP projects: Identify and prioritize the factors.Industrial Management & Data Systems, 104(8), 681–688.
21.
JiangJ. J., ChangY. T., ChenH. G., WangT. G., & KleinG. (2014). Achieving IT program goals with integrative conflict management.Journal of Management Information Systems, 31(1), 79–106.
22.
JiangJ. J., & KleinG. (2000). Software development risks to project effectiveness.Journal of Systems and Software, 52(1), 3–10.
23.
JiangJ. J., KleinG., & EllisT. S. (2002). A measure of software development risk.Project Management Journal, 33(3), 30–41.
24.
KeilM., CuleP., LyytinenK., & SchmidtR. (1998). A framework for identifying software project risks.Communications of the ACM, 41, 76–83.
25.
LinY., YangY., KangJ., & YuH. (2011). Using DEMATEL method to explore the core competences and causal effect of the IC design service company: An empirical case study.Expert Systems with Applications, 38, 6262–6268.
26.
LiuS., ZhangJ., KeilM., & ChenT. (2010). Comparing senior executive and project manager perceptions of IT project risk: A Chinese Delphi study.Information Systems Journal, 20, 319–356.
27.
LyytinenK., MathiassenL., & RopponenJ. (1998). Attention shaping and software risk—a categorical analysis of four classical risk management approaches.Information Systems Research, 9(3), 233–255.
28.
McFarlanF. W. (1981). Portfolio approach to information systems.Harvard Business Review, 59(5), 142–150.
29.
MoynihanT. (1996). An inventory of personal constructs for information systems project risk researchers.Journal of Information Technology, 11(4), 358–371.
30.
NgaiE. W. T., & WatF. K. T. (2005). Fuzzy decision support system for risk analysis in e-commerce development.Decision Support Systems, 40, 235–255.
31.
PintoJ. K., & PrescottJ. E. (1988). Variations in critical success factors over the stages in the project life cycle.Journal of Management, 14(5), 5–18.
32.
Project Management Institute [PMI] (2008). A guide to the project management body of knowledge (PMBOK® guide) – Fourth edition.Newtown Square, PA: Author.
33.
SchmidtR., LyytinenK., KeilM., & CuleP. (2001). Identifying software project risks: An international Delphi study.Journal of Management Information Systems, 17(4), 5–36.
34.
ShiehJ., WuH., & HuangK. (2010). A DEMATEL method in identifying key success factors of hospital service quality.Knowledge-Based Systems, 23, 277–282.
35.
TamuraH., & AkazawaK. (2005). Structural modeling and systems analysis of uneasy factors for realizing safe, secure and reliable society.Journal of Telecommunications and Information Technology, 64–72.
TzengG. H., ChiangC. H., & LiC. W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL.Expert Systems with Applications, 32(4), 1028–1044.
38.
WallaceL., KeilM., & RaiA. (2004). How software project risk affects project performance: An investigation of the dimensions of risk and an exploratory model.Decision Sciences, 35(2), 289–322.
39.
WardS. C. (1999). Assessing and managing important risks.International Journal of Project Management, 17(6), 331–336.
40.
WarfieldJ. N. (1976). Societal systems, planning, policy and complexity.New York, NY: Wiley.
41.
WassermanS., & FaustK. (1994). Social network analysis.New York, NY: Cambridge University Press.
42.
WilliamsT., EdenC., AckermannF., & TaitA. (1995). The effects of design changes and delays on project costs.Journal of the Operational Research Society, 46(7), 809–818.
43.
YinS., WangC., TengL., & HsingY. (2012). Application of DEMATEL. ISM and ANP for key success factor (KSF) complexity analysis in R&D alliance.Scientific Research and Essays, 7(19), 1872–1890.
44.
YuC., ChenH., KleinG., & JiangJ. J. (2013). Risk dynamics throughout the system development life cycle.Journal of Computer Information Systems, 53(3), 28–37.
