Narrowing Organizational Information Complexity

Sabini, Luca and Valentino, Alfredo (2010) Narrowing Organizational Information Complexity. In: Information technology and Innovation trend in Organization, 8-9 Oct 2010, Naples.

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Abstract/Index

The aim of this work is to provide a new view of Information Technology as an instrument of reducing wrong environmental interpretation in decision process. Uncertainty is an aspect of organizational decision making with which organizations must live and that influences firm performance. In fact the presence of uncertainty, that environmental complexity brings on management decision, affects decision process and underlines the problem of getting and analyzing environmental information. To solve this problem, that’s to control environmental complexity, we see DSS, as an help managers to synthesize internal and external information and to reduce their information needs. Comparing firms that implement Decision Support System we believe that they can give a strong help in reducing perceived complexity in decision process, thus enabling firm reduce variance of expected results of a decision. At this stage of the work, we focus only on the preliminary steps explaining our model but this is not tested yet, for this reason this work is configured as a working-paper

References

1. Simon, Herbert, A. (1964). On the Concept of Organizational Goal. Administrative Science Quarterly, 9(1), 1. 2. Daft, R.L. (2004). Organizzazione aziendale. Apogeo, Milano 3. Argenti, J. (1980). How to solve the mismanagement crisis I. Adizes, Dow Jones & Irwin, Homewood, Illinois and Transatlantic Book Service, London, 13(4), 106-107. 4. Cohen, K.J., Cyert, R.M. (1973). Strategy: Formulation, Implementation, and Moni-toring. The Journal of Business, Vol. 46, No.3. 5. Jauch, L.R., Glueck, W.F. (1988). Business Policy and. Strategic Management, McGraw-Hill 6. Simon, Herbert, A. (1977). The New Science of Management Decision. 7. March, J. (1994). A primer on decision making: How decisions happen. 8. Martinez, M. (2004). Organizzazione, informazioni e tecnologie. il Mulino, Bologna 9. Lord RG, Maher KJ. Alternative Information-Processing Models and Their Implica-tions for Theory, Research, and Practice. The Academy of Management Review. 1990 ;15(1) 10. Cyert, R., & March, J. (1963). A behavioral theory of the firm. 11. March, J., Simon, Herbert, A., & Guetzkow, H. (1958). Organizations. John Wiley & Sons Inc 12. Hogarth, R. (1981). Beyond discrete biases: Functional and dysfunctional aspects of judgmental heuristics. Psychological Bulletin. 13. Kleinmuntz, D., & Thomas, J. (1987). The value of action and inference in dynamic decision making. Organizational Behavior and Human Decision Processes, 39(3), 341-364. 14. Sirmon, D.G., S. Gove and M. A. Hitt. (2008). Resource Management in Dyadic Competitive Rivalry: The Effects of Resource Bundling and Deployment. The Acad-emy of Management Journal, 51(5): 919 – 935. 15. Rullani, E. (1984). Teoria ed evoluzione dell'impresa industriale, in L'impresa industriale, M. Rispoli, Il Mulino. 16. Galbraith, J.R. (1973). Designing Complex Organization. Addison Wesley. 17. Galbraith, J.R. (1977). Organizational Design. Addison Wesley. 18. Teece, D. J. (2007). Explicating Dynamic Capabilities : The Nature And Microfoun-dations Of ( Sustainable ) Enterprise Performance. Strategic Management Journal, 1350(August), 1319-1350. doi: 10.1002/smj. 19. Gorry, A., & Scott Morton, M. (1989). A framework for management Information system. Sloan Management Review, 49-61. 20. Sol, H., & Takkenberg, C. (1987). Expert Systems and Artificial Intelligence in Decision Support Systems. 21. Shim, J., Merrill, W., Courtney, J., Power, D., Sharda, R., Carlsson, C., et al. (2002). Past,present and future of Decision Support System. Elsevier Science B.V., 931, 1-16.

Item Type:Conference or Workshop Item (Other)
Research documents and activity classification:Conference Items > National Conferences > Uninvited Submissions
Divisions:Department of Business and Management > CeRSI (Information Systems Research Centre)
MIUR Scientific Area:Area 13 - Economics and Statistics > SECS-P/10 Business Organisation
Deposited By:Luca Sabini
Deposited On:11 Oct 2012 11:22
Last Modified:11 Oct 2012 11:22

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