Abstract
Much of IS literature suggests that various factors play pivotal roles in the implementation of an information system; however, there has been little empirical research about the factors impacting the implementation of business intelligence (BI) systems, particularly in engineering asset management organizations. There is an imperative need for a critical success factors (CSFs) approach to enable BI stakeholders to focus on the key issues of implementing BI systems. The authors conducted in-depth interviews with 15 BI practitioners of engineering asset management domain to identify factors critical for successful implementation of BI systems. Based on the findings, this study identifies ten CSFs that are crucial for implementing BI systems. This paper presents and discusses the findings, as well as puts forward recommendations for further research. This paper will be of particular interest to those researchers and practitioners who are studying, providing consultancies, planning or implementing BI systems.
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References
British Standards Institute: Publicly Available Specification for the ‘Optimal Management of Physical Infrastructure Assets’ (PAS-55) (2004)
Eerens, E.: Business Driven Asset Management for Industrial and Infrastructure Assets. Victoria, Australia: Le Clochard (2003)
Bever, K.: Understanding Plant Asset Management Systems. Maintenance Technology, July/August (2000) 20–25.
Haider, A., & Koronios, A.: Managing Engineering Assets: A Knowledge Based Approach through Information Quality, Proceedings of 2003 International Business Information Management Conference, Cairo:IBIMA (2003)
Negash, S.: Business intelligence. Communications of the Association for Information Systems, vol 13, (2004) 177–195
Giang, R.: Asia/Pacific Business Intelligence Solutions Market Spending Dynamics. IDC Research Group (2002)
Wirth, J. Top 10 Trends in Business Intelligence, viewed 11 May 2006
http://www.b-eye-network.com/view/2717?jsessionid=8417aae931842
Gartner Press Release: Gartner Survey of 1,300 CIOs Shows IT Budgets to Increase by 2.5 Percent in 2005, viewed 11 August 2006, http://www.gartner.com/press_releases/asset_117739_11.html
CIO, Business Intelligence, viewed 11 April 2006, http://www.cio.com/specialreports/business_intelligence.html
Inmon, W.: Building the Data warehouse. Wellesley, MA: QED Technical Publishing Group (1992)
Sen, A. & Jacob, V.: Industrial-Strength Data Warehousing. Communications of the ACM vol 41(9) (1998) 28–31
Ang, J., & Teo, T.: Management issues in data warehousing: Insights from the Housing and Development Board. Decision Support System, vol 29(1), (2005) 11–20
Daniel, R.H.: Management data crisis. Harvard Business Review. Sept–Oct (1961) 111–112
Rockart, J.: Chief Executives Define Their Own Data Needs. Harvard Business Review, vol 57(2) (1979) 81–93
Rockart, J. & Hoffman, J.: System delivery: Evolving new strategies, Sloan Management Review, vol 33(4) (1992) 21–31
Ives, B., Jarvenpaa, S. & Mason, R.: Global business drivers: Aligning information technology to global business strategy, IBM System Journal, vol 32(1) (1993) 4–16
Khandelwal, V.: What the Australian CEOs want from IT, Journal of Research and Practice in Information Technology, vol 32(3) (2000)151–167
Greene, F. & Loughridge, F.: The Management Information Needs of Academic Heads of Department in Universities: A Critical Success Factors Approach’. A Report for the British Library Research and Development Department, Sheffield: Department of Information Studies, University of Sheffield (1996)
Dobbins, J.: On a Generalized CSF Process Model for Critical Success Factors Identification and Analysis, PhD Thesis, George Washington University (2000)
Glaser, B. & Strauss, A.: Discovery of grounded theory: Strategies for qualitative research. Chicago: Aldine (1967)
Glaser, B.: Basics of grounded theory analysis. Mill Valley, CA: Sociological Press (1992)
Minichiello, V., Aroni, R., Timewell, E. & Alexander, L.; In-depth interviewing: researching people. Melbourne, Vic: Longman Cheshire (1990)
DeLone, W. & McLean, E.: The Quest for the Dependent Variable. Information System Research, (1992) 60–95
DeLone, W. & McLean, E.: The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, vol 19 (2003), 9–30
Glaser, B.: Theoretical sensitivity: Advances in methodology of grounded theory. Mill Valley, CA: Sociological Press (1978)
Glaser, B.: Doing grounded theory: issues and discussions, Mill Valley, CA: Sociology Press (1998)
Strauss, A. & Corbin, J.: Basics of qualitative research: grounded theory procedures and techniques. Newbury Park, CA: Sage (1990)
Strauss, A. & Corbin, J.: Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Thousand Oaks, CA: Sage (1998)
Creswell, J.: Educational research: Planning, conducting, and evaluating quantitative and qualitative research. New Jersey: Merrill Prentice Hall (2002) 450–452.
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Yeoh, W., Koronios, A., Gao, J. (2007). Critical Success Factors for Implementation of Business Intelligence Systems: A Study of Engineering Asset Management Organizations. In: Kulkarni, U., Power, D.J., Sharda, R. (eds) Decision Support for Global Enterprises. Annals of Information Systems, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-48137-1_3
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DOI: https://doi.org/10.1007/978-0-387-48137-1_3
Publisher Name: Springer, Boston, MA
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