Abstract
The nature and degree of competition in an industry hinge on four basic forces: Production, Technology, Marketing and Research & Development (R&D). To establish a strategic agenda for dealing with these contending currents and to grow despite them, a company must understand how they work in its industry and how they affect the company in its particular situation. This study adopts Fuzzy MCDM methods and details how these forces operate and suggests ways of adjusting to them, and, where possible, of taking advantage of them. Knowledge of these underlying sources of competitive pressure provides the groundwork for a strategic agenda of action. The result highlights the critical strengths and weaknesses of the company, animate the positioning of the company in its industry, clarify the areas where strategic changes may yield the greatest payoff, and highlight the places where industry trends promise to hold the greatest significance as either opportunities or threats.
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References
Duckstein, L., Opricovic, S.: Multiobjective optimization in river basin development. Water Resources Research 16(1), 14–20 (1980)
Freimer, M., Yu, P.: Some new results on compromise solutions for group decision problems. Management Science, 688–693 (1976)
Hsu, C., Chen, K., Tzeng, G.H.: Fmcdm with fuzzy dematel approach for customers choice behavior model. International Journal of Fuzzy Systems, 236–246 (2007)
Lo, M.C., Michnik, J., Cheng, L.P.: Technology assessment as a guidance to business management of new technologies. In: 2007 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 75–79 (2007), doi:10.1109/IEEM.2007.4419154
Opricovic, S., Tzeng, G.H.: Multicriteria planning of post-earthquake sustainable reconstruction. Computer-Aided Civil and Infrastructure Engineering 17(3), 211–220 (2002)
Opricovic, S., Tzeng, G.H.: Compromise solution by mcdm methods: A comparative analysis of vikor and topsis. European Journal of Operational Research 156(2), 445–455 (2004)
Opricovic, S., Tzeng, G.H.: Extended vikor method in comparison with outranking methods. European Journal of Operational Research 178(2), 514–529 (2007)
Pawlak, Z.: Rough sets. International Journal of Parallel Programming 11(5), 341–356 (1982)
Porter, M.: Towards a dynamic theory of strategy. Strategic Management Journal 12(S2), 95–117 (1991)
Saaty, R.: The Analytic Hierarchy Process (AHP) for Decision Making and The Analytic Network Process (ANP) for Decision Making with Dependence and Feedback. Creative Decisions Foundation, Pittsburgh (2003)
Saaty, T.: Axiomatic foundation of the analytic hierarchy process. Management Science, 841–855 (1986)
Saaty, T.: Rank generation, preservation, and reversal in the analytic hierarchy decision process. Decision Sciences 18(2), 157–177 (1987)
Saaty, T.: Decision making for leaders: the analytic hierarchy process for decisions in a complex world, vol. 2. RWS publications (1988)
Saaty, T.: The analytic network process: decision making with dependence and feedback. RWS Publications (1996)
Saaty, T.: Fundamentals of the analytic network process. In: Proceedings of the 5th International Symposium on the Analytic Hierarchy Process, pp. 12–14 (1999)
Saaty, T.: Fundamentals of the analytic network processxmultiple networks with benefits, costs, opportunities and risks. Journal of Systems Science and Systems Engineering 13(3), 348–379 (2004)
Tzeng, G.H., Chiang, C.H., Li, C.W.: Evaluating intertwined effects in e-learning programs: A novel hybrid mcdm model based on factor analysis and dematel. Expert Systems with Applications 32(4), 1028–1044 (2007)
Velosa, A.: Semiconductor manufacturing: Boom busts, and globalization. The Bridge 35(1) (2005)
Yu, P.L.: A class of solutions for group decision problems. Management Science, 936–946 (1973)
Zadeh, L.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)
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Lo, MC., Tzeng, GH. (2013). Fuzzy Hybrid MCDM for Building Strategy Forces. In: Skowron, A., Suraj, Z. (eds) Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30341-8_20
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DOI: https://doi.org/10.1007/978-3-642-30341-8_20
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