Model-based Strategic Knowledge Elicitation

J. Pedro Mendes


Strategic problems are difficult. They often only exist in the mental models of some top managers. They are typically too vague to be given a precise meaning, yet at the same time concrete enough to cause discomfort. They cannot be discarded but they cannot be tackled either because the means for diagnostic and solution are lacking. The body of knowledge of strategy offers little help, in the sense that a set of tools for strategic problem solving does not exist, in practice. In science and engineering, problem solving is model-based. In the past, the social sciences and management have discarded model building due to its inherent difficulties. Today, the means are available to elicit knowledge about the symptoms of strategic problems, create a model to obtain a solution, and produce an implementation plan.


  1. Adcroft, A. and Willis, R. (2008). A snapshot of strategy research 20022006. Journal of Management History, 14(4):313-333.
  2. Argyris, C. and Schön, D. A. (1978). Organizational Learning. Addison-Wesley, Reading, MA.
  3. Arrow, K. J. (1956). Mathematical models in the social sciences. In von Bertalanffy, L. and Rapoport, A., editors, General Systems: First Yearbook, pages 29-34. Society for General Systems Research.
  4. Ashby, W. R. (1956). An Introduction to Cybernetics. Chapman & Hall, London, UK.
  5. Craig, D. (2005). Rip-off!: The scandalous inside story of the management consulting money machine. Original Book Company, London, UK.
  6. Deming, W. E. (1952). Elementary principles of the statistical control of quality: a series of lectures. Nippon Kagaku Gijutsu Remmei, Tokyo, JP.
  7. Fooks, J. H. (1993). Profiles for performance: Total quality methods for reducing cycle time. Addison-Wesley Longman, Reading, MA.
  8. Ford, D. N. and Sterman, J. D. (1998). Expert knowledge elicitation to improve formal and mental models. System Dynamics Review, 14(4):309-340.
  9. Forrester, J. W. (1958). Industrial dynamicsa major breakthrough for decision makers. Harvard Business Review, 36(4):37-66.
  10. Forrester, J. W. (1961). Industrial Dynamics. MIT Press, Cambridge, MA.
  11. Friedenthal, S., Moore, A., and Steiner, R. (2015). A Practical Guide to SysML: The Systems Modeling Language. Elsevier, Waltham, MA.
  12. Johansson, F. (2006). The Medici effect: What elephants & epidemics can teach us about innovation. Harvard University Press, Boston, MA.
  13. Kaplan, R. S. and Norton, D. P. (1992). The balanced scorecard - measures that drive performance. Harvard Business Review, 70(1):71-79.
  14. Kihn, M. (2009). House of lies: How management consultants steal your watch and then tell you the time. Business Plus, New York, NY.
  15. Kurstedt, H. A., Mendes, P. M., and Lee, K. S. (1988). Engineering analogs in management. In Proceedings of the Ninth Annual Conference of the American Society for Engineering Management, pages 197-202. ASEM.
  16. Mendes, J., Carreira, A., Aleluia, M., and Mendes, J. P. (2016). Formulating strategic problems with Systems Modeling Language. Journal of Enterprise Transformation, 6(1):23-38.
  17. Mendes, J. P. (2011). Moving forward in organizational science. 2020/2020 pdfs/ Mendes Pedro 190.pdf. [Accessed: Sept, 2016].
  18. Olle, T. W., Sol, H. G., and Verrijn-Stuart, A. A. (1982). Information Systems Design Methodologies: A Comparative Review. Proceedings of the IFIP WG 8.1 Working Conference on Comparative Review of Information Systems Design Methodologies. North-Holland, Amsterdam, NL.
  19. O'Shea, J. and Madigan, C. M. (1998). Dangerous Company: Management Consultants and the Businesses They Save and Ruin. Penguin Books, London, UK.
  20. Osinga, F. P. B. (2005). Science, Strategy and War: The Strategic Theory of John Boyd. Eburon Academic Publishers, Delft, NL.
  21. Pfeffer, J. L. (1993). Barriers to the advance of organizational science: Paradigm development as a dependent variable. Academy of Management Review, 18(4):599-620.
  22. Pinault, L. (2001). Consulting Demons: Inside the Unscrupulous World of Global Corporate Consulting. Harper Paperbacks, New York, NY.
  23. Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(July, October):379-423,623-656.
  24. Thomas, P., Wilson, J., and Leeds, O. (2013). Constructing the history of strategic management: A critical analysis of the academic discourse. Business History, 55(7):1119-1142.
  25. Vennix, J. A., Andersen, D. F., Richardson, G. P., and Rohrbaugh, J. (1992). Model-building for group decision support: issues and alternatives in knowledge elicitation. European Journal of Operational Research, 59(1):28-41.
  26. von Bertalanffy, L. (1968). General Systems Theory. George Brazziler, New York, NY.
  27. Warren, K. (2012). The trouble with strategy: The brutal reality of why business strategy doesn't work and what to do about it. Strategy Dynamics Ltd, Princes Risborough, UK.
  28. Weick, K. E. (1996). Drop your tools: An allegory for organizational studies. Administrative Science Quarterly, 41(2):301-313.
  29. Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2):171-180.

Paper Citation

in Harvard Style

Mendes J. (2016). Model-based Strategic Knowledge Elicitation . In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016) ISBN 978-989-758-203-5, pages 228-234. DOI: 10.5220/0006082102280234

in Bibtex Style

author={J. Pedro Mendes},
title={Model-based Strategic Knowledge Elicitation},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016)},

in EndNote Style

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016)
TI - Model-based Strategic Knowledge Elicitation
SN - 978-989-758-203-5
AU - Mendes J.
PY - 2016
SP - 228
EP - 234
DO - 10.5220/0006082102280234