The Strategic Role of Business Intelligence Systems: An Assessment Model
This work includes an analysis of the most significant studies in the academic literature on the evaluation and measurement of Decision Support Systems and Business Intelligence Systems (BIS).
The evaluation model of BIS success proposed by Clark et al. has been studied in depth and a new model has been proposed.
The conclusions will describe the most meaningful factors that influence the new proposed evaluation model of BIS success. Particularly important are commitment to the system development and users’ training, while technology does not seem to be one of most critical elements.
KeywordsDecision Support System Critical Success Factor Multiple Case Study Strategic Role Business Intelligence System
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- 1.Clark DT, Jones MC, Armstrong CP (2007) The dynamic structure of management support system: theory development, research focus, and direction. MIS Q 31(3):579–615Google Scholar
- 2.Davenport TH, Prusak L (1998) Working knowledge: how organization manage what they know. Harward Business School Press, BostonGoogle Scholar
- 4.Anderson-Lehman R, Watson HJ, Wixom BH, Hoffer JA (2004) Continental airlines flies high with real-time business intelligence. MIS Q Exec 3(4):163–176Google Scholar
- 5.Lee H, Choi B (2003) Knowledge management enablers, processes, and organizational performance: an integrative viewand empirical examination. J Manage Inf Syst 20(1):179–228Google Scholar
- 8.Chandler Jr AD (1962) Strategy and structure: chapters in the history of the industrial enterprise. MIT Press, CambridgeGoogle Scholar
- 9.Ansoff HI (1965) Corporate strategy: an analytical approach to business policy for growth and expansion. McGraw Hill, New YorkGoogle Scholar
- 10.Andrews KR (1971) The concept of corporate strategy. Dow-Jones Irwin, HomewoodGoogle Scholar
- 11.Polany M (1966) The tacit dimension. P. Smith, GloucesterGoogle Scholar
- 15.Watson HJ (1999) Introduction to the organizational systems and technology track, hicss, Thirty-second Annual Hawaii international conference on system sciences (7): 7701Google Scholar
- 18.Van der Aalst WMP, Berens PJS (2001) Beyond workflow management: product-driven case handling. In Ellis C, Zigurs I (eds) Proceedings of the international ACM SIGGROUP conference on supporting group work 2001, Boulder, pp 42–51Google Scholar
- 19.Williams S, Williams N (2004) Capturing ROI through business-centric BI development methods. DM ReviewGoogle Scholar
- 21.Keen PGW (1980b) Decision support systems: translating useful models into usable technologies. Sloan Manage Rev 21(3):33–44Google Scholar
- 23.Housdeshel G, Watson HJ (1987) The management information and decision support (MIDS) System at Lockheed-Georgia. MIS Q 11(1):128–140Google Scholar
- 29.Gibson CF, Singer CJ, Schnidman AA, Davenport TH (1984) Strategies for making an information system fit your organization. Manage Rev 73:8–14Google Scholar
- 31.Inmon B (2005) World-class business intelligence. DM Review, pp 60–61Google Scholar
- 32.Sprague Jr RH, Carlson ED (1982) Building effective decision support systems. Prentice-Hall, Englewood CliffsGoogle Scholar
- 34.Malhotra A, Gosain S, El Sawy OA (2005) Absorptive capacity config.tions in supply chains: gearing for partner-enabled market knowledge creation. MIS Q 29(1):145–187Google Scholar
- 36.Yin R (1994) Case study research: design and methods, 2nd edn. Sage Publishing, Beverly HillsGoogle Scholar