طراحی چارچوبی برای تعیین ترکیب بهینۀ استراتژی‌ در تحلیل SWOT به‌وسیلۀ ارزش خالص فعلی فازی و تئوری بازی‌ها

نوع مقاله: مقاله علمی پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت تحقیق در عملیات، دانشکدۀ مدیریت دانشگاه علامه طباطبایی، تهران، ایران

2 استاد گروه تحقیق در عملیات، دانشکدۀ مدیریت دانشگاه علامه طباطبایی، تهران، ایران

چکیده

سازمان‌ها برای باقی‎ماندن در موقعیت رقابتی و پویای تجارت، به تحلیل صحیح از وضعیت درونی و محیطی خویش نیاز دارند تا بتوانند در موقعیت‎های گوناگون، استراتژی‌‌های مناسبی اتخاذ کنند. یکی از ابزارهای پرکاربرد مدیریتی در تحلیل و برنامه‌ریزی استراتژیک، تحلیل SWOT است که استراتژی‌‌ها را بر اساس تحلیل عوامل داخلی و خارجی سازمان فرموله‎بندی می‌کند؛ اما تحلیل SWOT در کنار مزیت‎ها، محدودیت‌هایی هم دارد که فرض استقلال بین استراتژی‌ و عدم اولویت‌بندی عوامل استراتژیک و استراتژی‌‌ها از جملۀ آنهاست. این مقاله سعی در پوشش محدودیت‌های تحلیل SWOT از طریق ترکیب آن با دو ابزار ارزش خالص فعلی فازی و ارزش شاپلی فازی دارد و چارچوب مفهومی ترکیب این سه ابزار را ارائه می‌کند. در نهایت با پیاده‎سازی چارچوب مفهومی پژوهش در یکی از شرکت‎های نیروگاهی، ترکیب بهینۀ استراتژی‌ این سازمان تعیین می‎شود

کلیدواژه‌ها


عنوان مقاله [English]

Designing a framework for determining the optimal strategy combination on SWOT analysis by fuzzy net present value and game theory

نویسندگان [English]

  • Seyyed Hossein Seyyedi 1
  • Maghsoud Amiri 2
  • Ahmad Yousefi Hanoomarvar 1
1 Ph.D. Candidate in Operation Research Management, Faculty of Management University of Allameh Tabatabaei, Tehran, I
2 Prof., Faculty of Management University of Allameh Tabatabaei, Tehran, Iran
چکیده [English]

Organizations to remain competitive and dynamic business environment require a correct analysis of the internal situation and their own environment In order to obtain a variety of appropriate strategies. One of the most widely used management tools in the analysis and strategic planning is SWOT that formulated The strategies based on an analysis of internal and external factors. However, SWOT analysis along with advantages, it also has some limitations, such as assuming independence between strategic and ranking strategic factors and strategies. This paper covers SWOT analysis limits by combining it with the fuzzy net present value and is fuzzy Shaply value and provides a conceptual framework of combination these three tools. Finally The conceptual framework also implements in a power Co and determined the optimal combination strategy of this organization.

کلیدواژه‌ها [English]

  • SWOT analysis
  • Net Present Value
  • Game theory
  • Shaply value
  • Strategy
Akbarian, M. & Najafi, A. (2009). Integration between the EFQM Excellence Model and Strategic Management for Improving Organizational Performance. Journal of Industrial Management, 1(2), 19-34. (in Persian)
Asgharpoor, M. (2003). Group decision making and game theory with an attitude of Operations Research, First Edition. Tehran University Publications.
(in Persian)
Azar, A., Jokar, S. & Zangoeinezhad, A. (2010). Compilation of Research & Development Strategy using Technology Quality Function Deployment: Market Pull Approach. Journal of Industrial Management. 2(4), 3-18.
(in Persian)
Brayson, J.M. (2004). Strategic Planning For Public and Non Profit Organizations. Jossey-Bass, Hardback.
Buyukozkan, G. & Feyzioglu, O. (2002). A Fuzzy Logic based decision making approach for new product development. International Journal of Production Economics, 90(1), 27-45.
Chang, H. H. & Hung, W. C. (2006). Application of quantification SWOT analytical method. Mathematical and Computer Modeling, 43(1-2), 158-169.
Chung-Tsen, T. (2012). Fuzzy net present values for capital investments in an uncertain environment. Computers & Operations Research, 39(8), 1885–1892.
Dabbaghi, A. & Malek, A. (2010). Proposing a procedure to evaluate and rank corporate vision statements using a mixed methodology. Journal of Industrial Management, 2(4), 57-74. (in Persian)
David, F.R. (1998). Strategic Management: Concepts and Cases, New Jersey, Prentice Hall.
Gao, J., Zhang, Q. & Shen, P. (2011). Coalitional Game with Fuzzy Payoffs and Credibilistic Shapley Value. Iranian Journal of Fuzzy Systems, 8(4), 107-117.
Ghazinoory, S., Esmail Zadeh, A. & Memariani, A. (2007). Fuzzy SWOT analysis, Journal of Inteligent & Fuzzy Systems, 18(1), 99-108.
Ghorbani, M., Bahrami, M. & Arabzad, S.M. (2012). An Integrated Model for Supplier Selection and Order Allocation; Using Shannon Entropy, SWOT and Linear Programming. Procedia - Social and Behavioral Sciences, 41, 521 – 527.
Gorener, A., Toker, K. & Ulucay, K. (2012). Application of Combined SWOT and AHP: A Case Study for a Manufacturing Firm, Procedia - Social and Behavioral Sciences, 58, 1525 – 1534.
Kajanusa, M., Kangas, J. & Kurttila, M. (2004). The use of value focused thinking and the SWOT hybrid method in tourism management. Tourism Management, 25(4), 499-506.
Kangas, J. & Kajanus, M. (2006). Adapting modern strategic decision support tools in the participatory strategy process-a case study of a forest research station. Forest Policy and Economics, 8(3), 267–278.
Kuo-Liang, L. & Shu-Chen, L. (2008). A fuzzy quantified SWOT procedure for environmental evaluation of an international distribution center. Information Science, 178(2), 531-549.
Lee, S., Walsh, P. & Vanhoof, K. (2011). SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport. Sport Management Review, 14(4), 361-369.
Majidiyan, D. (2011). Assessment of industrial projects, studies, technical, economic and financial. Tehran, Industrial Management Organization Publications. Second Edition. (in Persian)
Manteghi, N. & Zohrabi, A. (2011). A proposed comprehensive framework for formulating strategy: a Hybrid of balanced scorecard, SWOT analysis, porter`s generic strategies and Fuzzy quality function deployment. Procedia Social and Behavioral Sciences, 15, 2068–2073.
Markovska, N., Taseska, V. & Jordanov, P. (2009). SWOT analyses of the national energy sector for sustainable energy development. Energy, 34(6), 752-756.
Meng, F. & Wang, Y. (2012). The Shapley value for fuzzy games on vague sets, Information Science and Applications, 9(2), 48-57.
Meng, F. &  Zhang, Q. (2011). The Shapley Value on a Kind of Cooperative Fuzzy Games. Journal of Computational Information Systems, 7(6), 1846-1854.
Moemeni, M., Khodaei, S. & Bashiri, M. (2009). Evaluating the Operations of Social Security Organization of the Cities in Tehran Province by Using the Synthetic Model BSC & FDEA. Journal of Industrial Management, 1(3), 137-152. (in Persian)
Mohammadpoor, M. & Alem Tabriz, A. (2012). SWOT Analysis using of Modified Fuzzy QFD –A Case Study for Strategy Formulation in Petrokaran Film Factory. Procedia - Social and Behavioral Sciences, 41, 322 – 333.
Shinno, H., Yoshioka, H., Marpaung, S. & Hachiga, S. (2006). Quantitative SWOT analysis on global competitiveness of machine tool industry. Journal of Engineering Design, 17(3), 251-258.
Shrestha, R.K., Alavalapati, J.R.R. & Kalmbacher, R.S. (2004). Exploring the potential for silvopasture adoption in South-Central Florida: an application of SWOT –AHP method. Agricultural Systems, 81(3), 185-199.
Yuksel, I. & Dagdeviren, M. (2007). Using the analytic network process (ANP) in a SWOT analysis –A case study for a textile firm. Information Sciences, 177(16), 3364-3382.