Critical Success Factors for Business Intelligence Systems

References

• Ang, J. & Teo, T. S. H. “Management Issues in Data Warehousing: Insights from the Housing and Development Board,” Journal of Decision Support Systems, 29(1), 2000, 11–20.
   Web of Science ®Google Scholar
• Ariyachandra, T. & Watson, H. “Which Data Warehouse Architecture Is Most Successful?” Business Intelligence Journal, 11(1), 2006.
   Google Scholar
• Arnott, D. “Decision Support Systems Evolution: Framework, Case Study and Research Agenda,” European Journal of Information Systems, 13(4), 2004, 247–259.
   Web of Science ®Google Scholar
• Arnott, D. & Pervan, G. “A Critical Analysis of Decision Support Systems Research,” Journal of Information Technology, 20(2), 2005, 67–87.
   Web of Science ®Google Scholar
• Bose, R. “Advanced Analytics: Opportunities and Challenges,” Industrial Management & Data Systems, 109(2), 2009, 155–172.
   Web of Science ®Google Scholar
• Burton, B., Geishecker, L., & Hostmann, B. “Organizational Structure: Business Intelligence and Information Management,” Gartner Research, 2006.
   Google Scholar
• Delone, W., & McLean, E. “Information Systems Success: The Quest for the Dependent Variable,” Journal of Information System Research, 3(1), 1992, 60–95.
   Web of Science ®Google Scholar
• Delone, W., & McLean, E. “The DeLone and McLean Model of Information Systems Success: A Ten-Year Update,” Journal of Management Information Systems, 19(4), 2003, 9–30.
   Web of Science ®Google Scholar
• Friedman, T. “Gartner Says More Than 50 Percent of Data Warehouse Projects Will Have Limited Acceptance or Will Be Failures Through 2007,” 2005. Retrieved 21 Feb 2009, from http://www.gartner.com/it/page.jsp?id=492112
   Google Scholar
• Fuchs, G. “The Vital BI Maintenance Process”, in Business Intelligence Implementation: Issues and Perspectives,” In B. Sujatha (Ed), ICFAI University Press, Hyderabad, 2006, 116–123.
   Google Scholar
• Gartner Research, “Gartner EXP Worldwide Survey of 1,500 CIOs Shows 85 Percent of CIOs Expect ‘Significant Change’ Over Next Three Years,” 2008. Retrieved 21 Feb 2009, from http://www.gartner.com/it/page.jsp?id=587309
   Google Scholar
• Gartner Research, “Gartner EXP Worldwide Survey of More than 1,500 CIOs Shows IT Spending to Be Flat in 2009”, 2009. Retrieved 21 Feb 2009, from http://www.gartner.com/it/page.jsp?id=855612
   Google Scholar
• Hwang, M. & Xu, H. “A Structural Model of Data Warehousing Success,” Journal of Computer Information Systems, Fall 2008, 48–56
   Google Scholar
• Inmon, W.H. Building the Data Warehouse 4 Edn, John Wiley & Sons, Indianapolis, 2005.
   Google Scholar
• Jagielska, I., Darke, P., & Zagari, G. “Business Intelligence Systems for Decision Support: Concepts, Processes and Practice,” Proceedings of the 7th International Conference of the International Society for Decision Support Systems, 2003.
   Google Scholar
• Little, R.G. Identification of Factors Affecting the Implementation of Data Warehousing, Thesis, Auburn University, 1998.
   Google Scholar
• Linstone, H. A., & Turoff, M. The Delphi Method: Techniques and Applications. Addison-Wesley, Reading, MA, 2002.
   Google Scholar
• Miles, M. & Huberman, A.M. Qualitative Data Analysis: An Expanded Sourcebook, Sage, Thousand Oaks, CA. 1994.
   Google Scholar
• Moss, L. & Atre, S. Business Intelligence Roadmap: The Complete Lifecycle for Decision-Support Applications. Addison-Wesley, Boston, MA. 2003.
   Google Scholar
• Negash, S. “Business Intelligence,” Communications of the Association for Information Systems, 13, 2004, 177–195.
   Google Scholar
• Olszak, C & Ziemba, E. “Approach to Building and Implementing Business Intelligence Systems,” Interdisciplinary Journal of Information, Knowledge, and Management, 2, 2007, 135–148.
   Google Scholar
• Reinschmidt, J. & Francoise, A. Business Intelligence Certification Guide, IBM International Technical Support Organization, San Jose, CA, 2000.
   Google Scholar
• Shin, B. “An Exploratory Investigation of System Success Factors in Data Warehousing,” Communications of the Association for Information Systems, 6(4), 2003, 141–170.
   Google Scholar
• Stuart I., McCutcheon D. & Handfield R. “Effective Case Research in Operations Management: A Process Perspective,” Journal of Operations Management, 20(5), 2002, 419–433.
   Web of Science ®Google Scholar
• Turban, E., Sharda, R., Aronson, J. & King, D. Business Intelligence, Prentice Hall, New Jersey, 2007.
   Google Scholar
• Wadehra, A. “The ABCs of Master Data Management: Architecture, Business Case, and Customer,” Business Intelligence Journal, 12(1), 2007.
   Google Scholar
• Wang, H. & Wang S. “A Knowledge Management Approach to Data Mining Process for Business Intelligence,” Industrial Management & Data Systems, 108(5), 2008, 622–634.
   Web of Science ®Google Scholar
• Watson, H., Abraham, D., Chen, D. “Data Warehousing ROI: Justifying and Assessing a Data Warehouse,” Business Intelligence Journal, 2004, 6–17.
   Google Scholar
• Watson, H., & Haley, B. “Managerial considerations,” Communications of the ACM, 41(9), 1998, 32–37.
   Web of Science ®Google Scholar
• Watson, H., Annino, D. A., Wixom, B. H. “Current Practices in Data Warehousing,” Journal of Information Systems Management, 18(1), 2001, 1–9.
   Google Scholar
• Watson, H., Fuller, C., & Ariyachandra, T. “Data Warehouse Governance: Best Practices at Blue Cross and Blue Shield of North Carolina,” Journal of Decision Support Systems, 38(3), 2004, 435–450.
   Web of Science ®Google Scholar
• Wixom, B., & Watson, H. “An Empirical Investigation of the Factors Affecting Data-Warehousing Success,” MIS Quarterly, 25(1), 2001, 17–41.
   Web of Science ®Google Scholar
• Yin, R. Case Study Research: Design and Methods 3 Edn, Sage, Thousand Oaks, CA, 2003.
   Google Scholar
• Ziglio, E., & Adler, M. Gazing into the Oracle: The Delphi Method and its Application to Social Policy and Public Health, Jessica Kingsley Publishers, London, 1996.
   Google Scholar