Managing the implementation of business intelligence systems: A critical success factors framework

International Journal of Enterprise Information Systems

Volumn 4, Issue 3, 2008, Pages 79-94

  Yeoh, William ^a   Koronios, Andy ^a   Gao, Jing ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Business intelligence (BI) system; Critical success factors (CSFs); Delphi method; Framework

Indexed keywords

DECISION MAKING; HUMAN RESOURCE MANAGEMENT; INFORMATION ANALYSIS; MANAGEMENT SCIENCE; PROJECT MANAGEMENT;

BUSINESS INTELLIGENCE SYSTEMS; CONSIDERABLE RESOURCES; CRITICAL SUCCESS FACTOR; DELPHI METHOD; ENGINEERING ASSET MANAGEMENTS; FRAMEWORK; IMPLEMENTATION SUCCESS; SYSTEMS IMPLEMENTATION;

NETWORK FUNCTION VIRTUALIZATION;

EID: 49249109187     PISSN: 15481115     EISSN: 15481123     Source Type: Journal    
DOI: 10.4018/jeis.2008070106     Document Type: Article

References (49)

1. Ang, J., & Teo, T. (2000). Management issues in data warehousing: Insights from the housing and development board. Decision Support Systems, 29(1), 11-20.
2. Ariyachandra, T., & Watson, H. (2006). Which data warehouse architecture is most successful?. Business Intelligence, 11(1).
3. Arnott, D., & Pervan, G. (2005). A critical analysis of decision support systems research. Journal of Information Technology, 20(2), 67-87.
4. Brunelli, M. (2006). BI, ERP top 2007 's IT spending list. Retrieved July 8, 2007, from http://searchoracle. techtarget.com/ originalContent/0,289142,sid41_gci1233170,00.html.
5. Burton, B., Geishecker, L., & Hostmann, B. (2006). Organizational structure: Business intelligence and information management.
6. Carson, D., Gilmore, A., Gronhaug, K., & Perry, C. (2001). Qualitative research in marketing. London: Sage.
7. Chengalur-Smith, I., Ballou, D., & Pazer, H. (1999). The impact of data quality information on decision making: An exploratory analysis. Knowledge and Data Engineering, IEEE Transactions on, 11(6), 853-864.
8. Delone, W., & McLean, E. (1992). Information systems success: The quest for the dependent variable. Information System Research, 3(1), 60-95.
9. Delone, W., & McLean, E. (2003). The DeLone and McLean model of information systems success: A ten-year update. Management Information Systems, 19(4), 9-30.
10. Duncan, N. (1995). Capturing flexibility of information technology infrastructure: A study of resource characteristics and their measure. Management Information Systems, 12(2), 37-57.
11. Fisher, C., Lauria, E., Chengalur-Smith, I., & Wang, R. (2006). Introduction to information quality. Cambridge, MA: MITIQ Press.
12. Friedman, T. (2005). Gartner says more than 50 percent of data warehouse projects will have limited acceptance or will be failures through 2007. Retrieved February 21, 2007, from http:// www.gartner.com/it/page.jsp?id=492112.
13. Gangadharan, G., & Swami, S. (2004). Business intelligence systems: Design and implementation strategies. Paper presented at the 26th International Conference Information Technology Interfaces ITI.
14. Gartner Press Release. (2006a). Gartner says business intelligence software market to reach $3 billion in 2009. http:/ /www.gartner.com/ press_releases/asset_144782_11.html.
15. Gartner Press Release. (2006b). Gartner survey of 1,400 CIOs shows transformation of IT organization is accelerating. http:// www.gartner.com/press_releases/asset_143678_11.html.
16. Gartner Press Release. (2007). Gartner EXP survey of more than 1,400 CIOs shows CIOs must create leverage to remain relevant to the business. Retrieved February 21, 2007, from http://www.gartner.com /it/page.jsp?id=501189.
17. Glaser, B., & Strauss, A. (1967). The discovery of grounded theory. Chicago, IL: Aldine.
18. Glaser, B. (1992). Basics of grounded theory analysis.
19. Glaser, B. (1998). Doing grounded theory: Issues and discussions. Sociology Press.
20. Greer, D., & Ruhe, G. (2004). Software release planning: An evolutionary and iterative approach. Information and Software Technology, 46(4), 243-253.
21. Haider, A., & Koronios, A. (2003). Managing engineering assets: A knowledge-based approach through information quality. Paper presented at the International Business Information Management Conference. Cairo.
22. Helmer, O. (1977). Problems in futures research: Delphi and causal cross-impact analysis. Futures, 9(S 17), 31.
23. Hwang, H., Ku, C., Yen, D., & Cheng, C. (2004). Critical factors influencing the adoption of data warehouse technology: A study of the banking industry in Taiwan. Decision Support Systems, 37(1), 1-21.
24. IDC Press Release. (2007). Top-ranked business intelligence tools vendors maintain positions. Retrieved July 3, 2007, from http:// www.idc.com/getdoc.jsp?containerld=prUS20767807.
25. Jagielska, I., Darke, P., & Zagari, G. (2003). Business intelligence systems for decision support: Concepts, processes and practice. Paper presented at the 7th International Conference of the International Society for Decision Support Systems.
26. Kaarst-Brown, M. (1999). Five symbolic roles of the external consultant: Integrating change, power and symbolism. Journal of Organizational Change Management, 12(6), 540-561.
27. Lambert, S. (1995).An investigation of workers' use and appreciation of supportive workplace policies. Best papers 1995: Proceedings of the Academy of Management.
28. Liautaud, B., & Hammond, M. (2000). E-business intelligence: Turning information into knowledge and profit. New York, NY: McGraw-Hill.
29. Lin, S., Gao, J., Koronios, A., & Chanana, V. (2007). Developing a data quality framework for asset management in engineering organizations. International Journal of Information Quality, 1(1), 100-126.
30. Linstone, H., & Turoff, M. (1975). The Delphi method: Techniques and applications. Reading, MA: Addison-Wesley.
31. Linstone, H., & Turoff, M. (2002). The Delphi method: Techniques and applications (Electronic version).
32. Logan, D., & Buytendijk, F. (2003). The Sarbanes-Oxley Act will impact your enterprise.
33. Lucas, H. (1978). The evolution of an information system: From key-man to every person. Sloan Management Review, 39(52).
34. Mathew, J. (2003). CIEAM business plan V1.0. Brisbane, Australia: Centre for Integrated Engineering Asset Management (CIEAM)
35. Morris, H., Moser, K., Vesset, D., & Blumstein, R. (2002). The financial impact of business analytics. Framingham, MA: IDC.
36. Negash, S. (2004). Business intelligence. Communications of the Association for Information Systems, 13, 177-195.
37. Ponniah, P. (2001). Data warehousing fundamentals. New York, NY: Wiley-Interscience.
38. Rai,A., Lang, S., & Welker, R. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50-69.
39. Rockart, J. (1979). Chief executives define their own data needs. Harvard Business Review, 57(2), 81-93.
40. Shin, B. (2003). An exploratory investigation of system success factors in data warehousing. Journal of the Association for Information Systems, 141(170), 170.
41. Sum, C., Ang, J., & Yeo, L. (1997). Contextual elements of critical success factors in MRP implementation. Production and Inventory Management Journal, 38(3), 77-83.
42. Watson, H., Abraham, D., Chen, D., Preston, D., & Thomas, D. (2004). Data warehousing ROI: Justifying and assessing a data warehouse. Business Intelligence Journal, 6-17.
43. Watson, H., & Haley, B. (1998). Managerial considerations. Communications of the ACM, 41(9), 32-37.
44. Watson, H., Annino, D., Wixom, B., Avery, K., & Rutherford, M. (2001). Current practices in data warehousing. Information Systems Management, 18(1), 1-9.
45. Watson, H., Fuller, C., & Ariyachandra, T. (2004). Data warehouse governance: Best practices at Blue Cross and Blue Shield of North Carolina. Decision Support Systems, 38(3), 435-450.
46. Watson, H., & Haley, B. (1997). Data warehousing: A framework and survey of current practices. Journal of Data Warehousing, 2(1), 10-17.
47. White, C. (2006). New CIO spending survey. Retrieved July 11, 2007, from http://www.b-eye-network.co.uk/blogs/white/archives/2006/09/ new_cio_spending_survey.php.
48. Wixom, B., & Watson, H. (2001). An empirical investigation of the factors affecting data-warehousing success. MIS Quarterly, 25(1), 17-41.
49. Ziglio, E. (1996). The Delphi method and its contribution to decision-making. Gazing into the oracle. The Delphi method and its application to social policy and public health(pp. 3-33). London: Jessica Kingsley Publishers.