Advertisement

Business Intelligence Systems, Uncertainty in Decision-Making and Effectiveness of Organizational Coordination

  • Antonella Ferrari
Chapter

Abstract

This work to the literature that deals with the effects of the adoption and use of information and communication technologies (ICT) on the enterprises. In the realm of all possible ICT solutions that can be adopted, our attention is focused on the study of Business Intelligence Systems (BIS) as support and decisional coordination tools. The strategic role of BISs in terms of improvement of performance and competitiveness is currently recognized by the management. However, these are primarily studied from a technological perspective and research on their organizational effects on the enterprises are limited. The purpose of this paper is to analyze BISs from an organizational perspective. A model will be proposed to study the relationship between a Business Intelligence system, the uncertainty related to decision-making processes and the effectiveness of organizational coordination.

Keywords

Decision Support System Management Information System Coordination Mechanism Business Intelligence Management Information System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Galbraith, J. (1973. Designing Complex Organizations. Addison-Wesley, MA.Google Scholar
  2. 2.
    Galbraith, J. (1977). Organizational Design, Addison-Wesley. MA.Google Scholar
  3. 3.
    Tushman, M. L., and Nadler, D.A. (1978) Information Processing as an Integrating Concept in Organizational Design. The Academy of Management Review, 3(3), 613-624.Google Scholar
  4. 4.
    Choo, C. W.(1991) Towards an Information Model of Organizations. The Canadian Journal of Information Science 16 (3), 32-62.Google Scholar
  5. 5.
    Thompson, J.D. (1967) Organizations in Action, McHraw-Hill. New York (trad. it. L’azione organizzativa. Isedi, Torino, 1988).Google Scholar
  6. 6.
    Zaltman, G., Duncan, R., and Holbek, J. (1973).Innovation and Organizations. Wiley, New York.Google Scholar
  7. 7.
    Duncan, R. (1972) Characteristics of Organizational Environments and Perceived Environmental Uncertainty. Administrative Science Quarterly, 17, 313-327.CrossRefGoogle Scholar
  8. 8.
    March, J.G., and Simon, H.A. (1958) Organizations. Chichester, Wiley (trad. it. Teoria dell’organizzazione, Edizioni di Comunità, Milano,1979).Google Scholar
  9. 9.
    Costa, G., and Gubitta, P. (2004) Organizzazione Aziendale. Mercati, gerarchie econvenzioni. Milano, McGraw-Hill.Google Scholar
  10. 10.
    Ferrando, P. (1997) L’incertezza e l’ambiguità, in Nacamulli R.C.D., Costa G. (a cura di). Manuale di Organizzazione Aziendale. UTET, Milano.Google Scholar
  11. 11.
    Rullani, E. (1984) La teoria dell’impresa: soggetti, sistemi, evoluzioni in Rispoli M. L’impresa industriale. Bologna, Il Mulino.Google Scholar
  12. 12.
    Martinez, M. (2004) Organizzazione, informazioni e tecnologie. Il Mulino, Bologna.Google Scholar
  13. 13.
    Ghosthal, S., and Kim, S.K. (1986) Building Effective Intelligence Systems For Competitive Advantage. Sloan Management Review, 28(1), 49-58.Google Scholar
  14. 14.
    Gilad, B., and Gilad, T. (1986) SMR Forum: Business Intelligence – The Quiet Revolution. Sloan Management Review, 27(4), 53-61. 15. Power, D.J. (2003) A Brief History of Decision Support Systems, DSSResource.com, World Wide Web, http://DSSResource.com/history/dsshistory.html, version 2.8, May 31.
  15. 15.
    Halliman, C. (2000) Business Intelligence Using Smart Techniques. Information Uncover, Houston.Google Scholar
  16. 16.
    Kalakota, R.,and Robinson, M. (2000) e-Business 2.0 – Roadmap for Success. Addison-Wesley, Boston.Google Scholar
  17. 17.
    Thomsen, E. (2003) BI’s Promised Land. Intelligent Enterprise, 6(4), 21-25.Google Scholar
  18. 18.
    Arnott, D., and Pervan, G. (2005) A Critical Analysis of Decision Support Systems Research. Journal of Information Technology, 20(2), 67-87.CrossRefGoogle Scholar
  19. 19.
    Kemper, H., and Baars, H. (2006) Business Intelligence und Competitive Intelligence – IT-basierte Managementunterstüzung und marktwettbewerbsorientierte Anwendungen, in: Kemper H., Heilmann H., Baars H. (2006). Business & Competitive Intelligence. Heidelberg.Google Scholar
  20. 20.
    Negas, S., Gray, P. (2003) Business Intelligence. Proceedings of the Ninth American Conference on Information Systems. Tampa, Florida.Google Scholar
  21. 21.
    Eckerson, W.W. (2006) Performance Dashboards. John Wiley & Sons, Hoboken, NJ.Google Scholar
  22. 22.
    Davenport, T.D. (2006) Competing on Analytics. Harward Business Review. August.Google Scholar
  23. 23.
    Salonen, J.,and Pirttimaki, V. (2005) Outsourcing a Business Intelligence Function. Frontiers of e-business research. Google Scholar
  24. 24.
    Moss, L.T., and Atre, S. (2003).Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. Addison-Wesley, Boston, MA.Google Scholar
  25. 25.
    Clark, D.T., Jones, M.C., and Armstrong, C.P. (2007) The dynamic structure of Management Support System: theory development, research focus, and direction. MIS Quarterly, 31(3), 579-615.Google Scholar
  26. 26.
    Scott Morton, M.S. (1984) The State of the Art of Research. The Information Research Challenge, Boston F.W., McFarlan (Ed). Harvard University Press, 13-41.Google Scholar
  27. 27.
    Watson, H.J., Fuller, C., and Ariyachandra, T. (2004). Data Warehouse Governance: Best Practices at Blue Cross and Blue Shield of North Carolina. Decision Support Systems, 38, 435-450.CrossRefGoogle Scholar
  28. 28.
    Burton, B., Geishecker, L., Schelegel, K., Hostmann, K., Austin, B., Herschel, T., Soejarto, G., and Rayner A. (2006) Business Focus Shifts from Tactical to Strategic, Gartner Research, Stamford, CT, May 22. http://www.gartner.com.
  29. 29.
    Anderson-Lehaman, R., Watson, H.J., Wixom, B.H., and Hoffer, J.A. (2004) Continental Airlines Flies With Real-Time Business Intelligence. MIS Quaterly Executive,. 3(4), 163-176.Google Scholar
  30. 30.
    Hult, G.T.M. (2003) An Integration of Thoughts on Knowledge Management. Decision Sciences,24(2)Google Scholar
  31. 31.
    Sprague, R.H. Jr.,and Carlson, E.D. (1982) Building Effective Decision Support Systems Englewood Cliffs, NJ, Prentice-Hall.Google Scholar
  32. 32.
    Barkhi, R., Rolland, E., Butler, J., and Fan, W. (2005) Decision Support Systems Induced Guidance for Model Formulation and Solution. Decision Support Systems, 40(2) 269-281.CrossRefGoogle Scholar
  33. 33.
    Duncan, R., and Weiss, A. (1979) Organizational Learning: Implications for Organizational Design. Research in Organizational Behavior. Greenwich, B.M. Staw (Ed), JAI Press Inc. CT, 75-123.Google Scholar
  34. 34.
    Shrivastava, P.A. (1983) Typology of organizational learning systems. Journal of Management Studies, 20Google Scholar
  35. 35.
    March, J. G. (1991),. Exploration and Exploitation in Organizational Learning. Organization Science. 2(1), 71-87.CrossRefGoogle Scholar
  36. 36.
    Stein, E.W., and Vandenbosch, B. (1996) Organizational Learning During Advanced Systems Development: Opportunities and Obstacles. Journal of Management Information Systems, 13(2), 115-136.Google Scholar
  37. 37.
    Kankanhalli, A., Tan, B.C.Y., and Wei, K.K. (2005) Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation. MIS Quartely, 29(1), 113-143.Google Scholar
  38. 38.
    Sharda, R., and Steiger, D.M. (1996) Inductive Model Analysis Systems: Enhancing Model Analysis in Decision Support Systems. Information Systems Research, 7(3), 328-341.CrossRefGoogle Scholar
  39. 39.
    Gold, A.H., Malhotra, A., and Segars, A.H. (2001) Knowledge Management: An Organizational Capabilities Perspective. Journal of Management Information Systems, 18(1), 185-214.Google Scholar
  40. 40.
    Grover, V., and Davenport, T.D. (2001) General Perspectives on Knowledge Management: Fostering a Research Agenda. Journal of Management Information Systems, 18(1) 5-21.Google Scholar
  41. 41.
    Cooper, B., Watson, H.J., Wixom, B.H., and Goodhue, D.L. (2000) Data Warehousing Supports Corporate Strategy at First American Corporation. MIS Quarterly, 24(4), 547-567.CrossRefGoogle Scholar
  42. 42.
    Massey, A.P., Montoya-Weiss, M.M., and O’Driscoll, T.M. (2002) Knowledge Management in Pursuit of Performance: Insights from Nortel Networks. MIS Quartely, 26(3), 269-289.CrossRefGoogle Scholar
  43. 43.
    Scott, J., Globe, A.,and Schiffer, K. (2004). Jungles and Gardens: The Evolution of Knowledge Management at J. D. Edwards. MIS Quarterly Executive, 3(1), 37-52.Google Scholar
  44. 44.
    Wixom, B.H.,and Watson, H.J. (2001) An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly, 25(1), 17-41.CrossRefGoogle Scholar
  45. 45.
    Hinshaw, F. (2004) Data Warehouse Appliances Driving the Business Intelligence Revolution. DM Review, September, 30-34.Google Scholar
  46. 46.
    Rouibah, K.,and Ould-ali, S. (2002) PUZZLE: A Concept and Prototype for Linking Business Intelligence to Business Strategy. Journal of Strategic Information Systems, 11, 133-152.CrossRefGoogle Scholar
  47. 47.
    Malhotra, A., Gosain, S.,and El Sawy, O.A. (2002) Absorptive Capacity Configurations in Supply Chains: Gearing for Partner-Enabled Market Knowledge Creation. MIS Quarterly,. 8(1), 145-187.Google Scholar
  48. 48.
    Zahra, S.A., and George, G. (2002) Absorptive Capacity: A Review, Reconceptualization, and Extension. Academy of Management Review, 27(2), 185-203.Google Scholar
  49. 49.
    Cohen, W., and Levinthal, D. (1990) Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science, 35, 128-152.CrossRefGoogle Scholar
  50. 50.
    Poon, P., and Wagner, C. (2001) Critical Success Factors Revisited: Success and Failure Cases of Information System for Senior Executives. Decision Support Systems, 30(4), 392-418.CrossRefGoogle Scholar
  51. 51.
    Malone, T.W.,and Crowston, K. (1994) The Interdisciplinary Study of Coordination. ACM Computing Surveys, 26(1), 87-119.CrossRefGoogle Scholar
  52. 52.
    Simonin, B.L. (1997) The importance of collaborative know-how: An empirical test of the learning organization. Academy of Management Journal. 40(5), 1150-1174.CrossRefGoogle Scholar
  53. 53.
    Holsapple, C.W., and Joshi, K.D. (2002).Knowledge manipulation activities: Results of a Delphi study. Information and Management, 39(6), 477-490.CrossRefGoogle Scholar
  54. 54.
    Hartono, E., and Holsapple, C. (2004) Theoretical foundations for collaborative commerce research and practice. Information Systems and e-business Management, 2, 1-30.CrossRefGoogle Scholar
  55. 55.
    Tsui, E. (2003). Tracking the role and evolution of commercial knowledge management software. Handbook on Knowledge Management, 2, 5-27.Google Scholar
  56. 56.
    Nonaka, I., and Takeuchi, H. (1995) The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York.Google Scholar
  57. 57.
    Hoegl, M., Weinkauf, K., and Gemuenden, H.G. (2004) Inter-team Coordination, Project Commitment, and Teamwork in Multi-team R&D Projects: A Longitudinal Study. Organization Science, 1, 38-55.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Polytechnic Institute of MilanMilanItaly

Personalised recommendations