Today, with ever-increasing competition in global economic conditions, the necessity of effective implementation of strategy map has become an inevitable and necessary. The strategy map represents a general and structured framework for strategic objectives and plays an important role in forming competitive advantages for organizations. It is important to find important factors influencing strategy map and prioritize them based on suitable factors. In this paper, we propose an integration of BSC and Fuzzy DEMATEL technique to rank different items influencing strategy of a production plan. The proposed technique is implemented for real-world case study of glass production.
DOI: j.msl.2011.09.009 Keywords: Strategy map ,DEMATEL ,Fuzzy DEMATEL ,Balanced score card How to cite this paper: Heydariyeh, S., Javidnia, M & Mehdiabadi, A. (2012). A new approach to analyze strategy map using an integrated BSC and FUZZY DEMATEL.Management Science Letters, 2(1), 161-170.
References
Chytas, P. (2008). A proactive fuzzy cognitive balanced scorecard. IEEE World Congress on Computational Intelligence Systems, 1331- 1338.Dalalah, D., Hayajneh, M., & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert Systems with Applications, 38, 8384-8391.
Fontela, E., & Gabus, A. (1976). The DEMATEL observer. DEMATEL 1976 Report. Switzerland, Geneva: Battelle Geneva Research Center. Ghazi Noori, S., & Tavasolizadeh, S. (2009). Assessing national Iranian nanotechnology initiative by BSC; explaining the role of social capital as a miss. Journal of Science & Technology, 4 , 49- 58. Grigoroudis, E., Orfanoudaki, E., & Zopounidis, C. (2012). Strategic performance measurement in a healthcare organization: Amultiple criteria approach based on balanced score. Journal of Omega, 40, 104–119. Huang, H. C. (2009). Designing a knowledge-based system for strategic planning: A balanced scorecard perspective. The journal Of Expert Systems with Applications, 36(1), 209–218. Huang.H.C., Lai.M.C., & Lin.L.H.(2011). Developing strategic measurement and improvement for the biopharmaceutical firm: Using the BSC hierarchy. Expert Systems with Applications, 38, 4875–4881. Jassbi, J., Mohamadnejad, F., & Nasrollahzadeh, H. (2011). A Fuzzy DEMATEL framework for modeling cause and effect relationships of strategy map. Expert Systems with Applications, 38, 5967–5973. Kaplan, R., & Norton, D. (2000). The strategy-focused organization: How balanced scorecard companies thrive in the new business environment, Harvard Business School Press. Kong, E. (2010). Analyzing BSC and IC’s usefulness in nonprofit organizations. Journal of Intellectual Capital, 11(3), 284-304. Kuoa, M.S., & Liang, G.S. (2011). A novel hybrid decision-making model for selecting locations in a fuzzy environment. Mathematical and Computer Modelling, 54, 88-104. Lee, Y. C., Lee, M. L., Yen, T. M., & Huang, T. H. (2011). Analysis of fuzzy Decision Making Trial and Evaluation Laboratory on technology acceptance model. Expert Systems with Applications, 1-10. Lin, C. J., & Wu, W. W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34(1), 205–213. Momeni, M., Khodaei, S., & Bashiri, M. (2010). Evaluation of performance of society assurance organization by used of combination FDEA and BSC. Journal of Industrial Management, 3, 137- 152.Olson, E.M., & Slater, S.F. (2002). The balanced scorecard, competitive strategy, and performance. Business Horizons ,45, 11–16. Schmidberger, S., Bals, L., Hartmann, E., & Jahns, C. (2009). Ground handling services at European hub airports: development of a performance measurement system for benchmarking. International Journal of Production Economics, 117, 104–111. Seyedhosseini, S.M., Taleghani, A.E., Bakhsha, A., & Partovi, S. (2011). Extracting leanness criteria by employing the concept of Balanced Scorecard. Expert Systems with Applications, 38, 10454–10461. Tseng, M. L. (2010). Implementation and performance evaluation using the fuzzy network balanced scorecard, Journal of Computers & Education, 55, 188 –201. Tzeng, G. H., Chiang, C. H., & Li, C. W. (2007). Evaluating intertwined effects in elearning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32, 1028–1044. Varma, S., Wadhwa, S., & Deshmukh, S. G. (2008). Evaluating petroleum supply chain performance: Application of analytical hierarchy process to balanced scorecard. Asia Pacific Journal of Marketing and Logistics, 20(3), 343–356. Wang, C.H., Lu, I.Y., & Chen, C.B. (2010). Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance. International Journal of Production Economics, 128, 413–426. Wu, H.Y., Lin, Y.K., & Chang, C.H. (2011). Performance evaluation of extension education centers in universities based on the balanced scorecard, Journal of Evaluation and Program Planning 34, 37–50. Xu, Y., & Yeh, C.H. (2012). An integrated approach to evaluation and planning of best practices, Omega, 40, 65–78.Yuksel, I., & Dag deviren, M. (2010).Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm. Expert Systems with Applications, 37, 1270–1278. Zhou, Q., Huang, W., & Zhang, Y. (2010). Identifying success factors in emergency management using a fuzzy DEMATEL method. Safety Science, 49(2), 243- 252. |
![]() |
® 2013 GrowingScience.Com