The interaction between IT and planning: decision support or knowledge generation?


  • Caserio C Università degli Studi eCampus



Scenario, Knowledge, Decision Support Systems, Planning, Information Technology


The present study aims to discuss, under a theoretical perspective, the role and the added value of the interaction between Information Technology (IT) and decision-making, paying particular attention to the planning context. The main idea of this paper is that the interaction of decision makers with IT, especially when the decisions concern scenario planning and alternative hypotheses, plays two important roles: a) it supports decisions, given the availability of semi-structured information and data provided by IT tools; b) it generates knowledge due both to the iterative approach followed by the decision maker for designing the planning model and to the reasonings and group discussions about the objectives to be defined. The conclusions speculate that the interaction between IT and decision makers is not limited to provide decisional support, but it also generates knowledge and promotes a learning process, especially in a complex decision domain. Therefore, further research is encouraged on this issue, for examining to what extent, and under which conditions, the interaction with IT allows to generate or increase knowledge about a problem, beyond a mere decision support.


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Alipour, F., Idris, K., Karimi, R. (2011). Knowledge creation and transfer: Role of learning organization. International Journal of Business Administration, 2(3), 61. DOI:

Bakos, J. Y., Treacy, M. E. (1986). Information technology and corporate strategy: a research perspective. MIS quarterly, 107-119. DOI:

Burt, G., Chermack, T. J. (2008). Learning with scenarios: Summary and critical issues. Advances in Developing Human Resources, 10(2), 285-295. DOI:

Caserio C. (2012), Knowledge Generating Decision Support Systems: managing the trade-off between generating knowledge and supporting decisions, in M. De Marco, D. Te’eni, V. Albano, S. Za (Editors), Information Systems: Crossroads for Organization, Management, Accounting and Engineering. Springer. DOI:

Caserio C., Marchi L. (2010), Generating knowledge by combining prediction models with Information Technology, in D’Atri A., De Marco M., Braccini A.M., Cabiddu F. (Editors) Management of the Interconnected World, 1st edition, Springer.

Chermack, T. J. (2004). Improving decision-making with scenario planning. Futures, 36(3), 295-309. DOI:

Coda, V. (2010). Entrepreneurial values and strategic management: essays in management theory. Palgrave Macmillan London. DOI:

De Geus, A. P. (1988). Planning as learning (pp. 70-74). March/April: Harvard Business Review.

Drucker P. (1995) The Post-Capitalist Executive: Managing in a Time of Great Change, Penguin, New York.

Fu, M. (2014). Design of Accounting Information System of Modern Enterprises under Informatization Environment. In 2nd International Conference on Education Technology and Information System (ICETIS) (pp. 254-257).

Georgantzas, N. C., Acar, W. (1995). Scenario-driven planning: learning to manage strategic uncertainty. Praeger.

Gorry G.A., Scott Morton M.S., (1971) A Framework for Management Information Systems, in Sloan Management Review, vol. 13

Kaisler, S., Armour, F., Espinosa, J. A., Money, W. (2013, January). Big data: Issues and challenges moving forward. In 2013 46th Hawaii international conference on system sciences (pp. 995-1004). IEEE. DOI:

Keen P.G.W., Scott Morton M.S., (1978) Decision Support System: an organizational perspective. Reading, Addison-Wesley

Kloot, L. (1997). Organizational learning and management control systems: responding to environmental change. Management Accounting Research, 8(1), 47-73. DOI:

Marakas, G. M. (2003). Decision support systems in the 21st century (Vol. 134). Upper Saddle River: Prentice Hall.

Mintzberg, H. (1973). The nature of managerial work. New York: Harper & Row.

Mock, T. J. (1973). The value of budget information. The Accounting Review, 48(3), 520-534.

Molloy, S., Schwenk, C. R. (1995). The effects of information technology on strategic decision making. Journal of Management Studies, 32(3), 283-311. DOI:

Noble, D. (1993). A model to support development of situation assessment aids. In G. A. Klein, J. Orasanu, R. Calderwood, & C. E. Zsambok (Eds.), Decision making in action: Models and Methods. Norwood, NJ: Ablex Publishing Corporation.

Nonaka I. (1991) The Knowledge-Creating Company, Harvard Business Review, Nov/Dic, Vol. 69(6):96-104.

Nonaka I., Takeuchi K., (1995) The Knowledge Creating Company, Oxford University Press.

Power, D. J., Heavin, C. (2017). Decision support, analytics, and business intelligence. Business Expert Press.

Pinson, S. D., Louçã, J. A., Moraitis, P. (1997). A distributed decision support system for strategic planning. Decision Support Systems, 20(1), 35-51. DOI:

Ratcliffe, J. (2003). Scenario planning: An evaluation of practice. Futures Research Quarterly, 19(4), 5-26.

Rossignoli C, Ferrari A., (2008) Organization Processes Monitoring: Business Intelligence Systems Role, in:D’Atri A., De Marco M., Casalino N. (Editors), Interdisciplinary Aspects of Information Systems Studies, Physica-Verlag, Heidelberg. DOI:

Sanin C., Szczerbicki E. (2004) Knowledge Supply Chain System: A Conceptual Model, Knowledge Management: Selected Issues, Szuwarzynski A. (Ed), Gdask University Press / Gdask, 79-97.

Sanin C., Szczerbicki E., Toro C. (2007) An OWL Ontology of Set of Experience Knowledge Structure, Journal of Universal Computer Science, 13(2):209-223.

Scott Morton M.S., (2007) Reflections, DSSResources.COM.

Şen, E., Körük, E., Serper, N., Çalış Uslu, B. (2019). Big Data Analytics and Simulation for Better Strategic Management. Journal of Current Research on Engineering, Science and Technology, 5(2), 1-12. DOI:

Shim J.K., Siegel J.G., (1991) Handbook of Financial Analysis, Forecasting and Modeling, Pearson Professional Education

Veloso, M., Carbonell, J., Perez, A., Borrajo, D., Fink, E., Blythe, J. (1995). Integrating planning and learning: The PRODIGY architecture. Journal of Experimental & Theoretical Artificial Intelligence, 7(1), 81-120. DOI:




How to Cite

C, C. . (2022). The interaction between IT and planning: decision support or knowledge generation?. INTERNATIONAL JOURNAL OF MANAGEMENT &Amp; INFORMATION TECHNOLOGY, 17, 15–19.