Abstract
This paper presents the results of three rounds Delphi study with 15 BI systems experts in the domain of engineering asset management. The study provides a CSF framework that consists of seven dimensions and 22 factors crucial for successful BI system implementation. The seven critical dimensions of CSFs are management commitment and championship, user-oriented change management, business vision, project planning, team skills and composition, data and infrastructure-related dimensions. These findings allow BI stakeholders to optimize their scarce resources on those key areas that are most likely to have an impact on the implementation of the BI systems.
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References
A. Haider and A. Koronios, Managing Engineering Assets: A Knowledge Based Approach through Information Quality, in Proc. of 2003 International Business Information Management Conference (IBIMA: Cairo, 2003).
C.W. Fisher, E. Lauria, I.C. Smith, and R.Y. Wang, Introduction to Information Quality (MITIQ Press: Cambridge, MA, 2006).
S. Negash and P. Gray, Business intelligence, in Proc. of Ninth Americas Conference on Information Systems (2003).
G.R. Gangadharan and S.N. Swami, Business Intelligence Systems: Design and Implementation Strategies, in Proc of 26th International Conference Information Technology Interfaces ITI (2004).
I. Jagielska, P. Darke, and G. Zagari, Business Intelligence Systems for Decision Support: Concepts, Processes and Practice, in Proc. of the 7th International Conference of the International Society for Decision Support Systems (2003).
P. Murthy and K. Rao, Business Intelligence and Its Value, in 5th Annual Forbes Global CEO Conference (Sydney, 2005).
J. Wirth, Top 10 Trends in Business Intelligence. http://www.b-eve-network.com/view/2717?jsessionid=8417aae931842 (Accessed May 11 2006)
CIO, Business Intelligence. http://www.cio.com/specialreports/business_intelligence.html (Accessed April 11 2006).
Gartner Survey of 1,300 CIOs Shows IT Budgets to Increase by 2.5 Percent in 2005, Gartner Press. http://www.gartner.com/press_releases/asset_117739_11.html (Accessed Feb 21 2007).
Gartner EXP Survey of More than 1,400 CIOs Shows CIOs Must Create Leverage to Remain Relevant to the Business, Gartner Press. http://www.gartner.com/it/page.jsp?id=501189 (Accessed Feb 21 2007).
J. Ang and T. Teo, Management issues in data warehousing: Insights from the Housing and Development Board, Decision Support System. Volume 29, Number 1, pp.11–20, (2005).
T. Friedman, Gartner Says More Than 50 Percent of Data Warehouse Projects Will Have Limited Acceptance or Will Be Failures Through 2007. http://www.gartner.com/it/page.jsp?id=492112 (Accessed Feb 21 2007).
D. Power, Decision Support Systems: Concepts and Resources for Managers (Westport, 2002).
P. Ponniah, Data Warehousing Fundamentals (Wiley-Interscience: New York, 2001).
J. Kulkarni and R. King, Business Intelligence Systems and Data Mining (SAS Institute Inc: 1997).
J. Han and M. Kamber, Data mining: Concepts and techniques (San Francisco: Morgan Kauffmann, 2001).
N.B. Duncan, Capturing Flexibility of Information Technology Infrastructure: A Study of Resource Characteristics and Their Measure, Journal of Management Information Systems. Volume 12, Number 2, pp.37–57, (1995).
W. Inmon, Building the Data warehouse (Wellesley, QED Technical Publishing Group: MA, 1992).
A. Sen and V. Jacob, Industrial-Strength Data Warehousing, Communications of the A CM. Volume 41, Number 9, pp.28–31, (1998).
J. Rockart, Chief Executives Define Their Own Data Needs, Harvard Business Review. Volume 57, Number 2, pp.81–93, (1979).
J. Rockart and J. Hoffman, System delivery: Evolving new strategies, Sloan Management Review. Volume 33, Number 4, pp.21–31, (1992).
H. Linstone and M. Turoff, The Delphi Method: Techniques and Applications (Reading, Addison-Wesley Publishing Company Inc: MA, 2002).
E. Ziglio, The Delphi Method and its Contribution to Decision-Making, in Gazing into the Oracle, The Delphi Method and Its Application to Social Policy and Public Health, (eds) M. Alder and E. Ziglio (London: Jessica Kingsley Publishers: 1996), pp.3–33.
D. Carson, A. Gilmore, C. Perry, and K. Gronhaug, Qualitative Marketing Research (Sage: London, 2001).
W. Delone and E. McLean, The DeLone and McLean model of information systems success: a ten-year update, Journal of Management Information Systems. Volume 19, Number 4, pp.9–30, (2003).
W. Delone and E. McLean, Information systems success: the quest for the dependent variable, Information System Research. Volume 3, Number 1, pp.60–95, (1992).
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Yeoh, W., Gao, J., Koronios, A. (2008). Towards a Critical Success Factor Framework for Implementing Business Intelligence Systems: A Delphi Study in Engineering Asset Management Organizations. In: Xu, L.D., Tjoa, A.M., Chaudhry, S.S. (eds) Research and Practical Issues of Enterprise Information Systems II. IFIP International Federation for Information Processing, vol 255. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-76312-5_64
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DOI: https://doi.org/10.1007/978-0-387-76312-5_64
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