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A hybrid fuzzy MCDM method for measuring the performance of publicly held pharmaceutical companies

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Listed:
  • Madjid Tavana
  • Kaveh Khalili-Damghani
  • Rahman Rahmatian

Abstract

Maximizing shareholders’ value has always been an indispensable goal for publicly traded companies. Shareholders value is highly dependent on the operating expenses, profit margin, return on investment and the overall performance in public companies. We propose a hybrid fuzzy multi-criteria decision making method for measuring the performance of publicly held companies in the Pharmaceutical industry. The proposed method helps investors choose a proper portfolio of stocks in the presence of environmental turbulence and uncertainties. The proposed method is composed of three distinct but inter-related phases. In the pre-screening phase, a set of financial and non-financial evaluation criteria are selected based on the balanced scorecard (BSC) approach. In the efficiency measurement phase, the DEMATEL method is used first to determine the inter-relationships among the BSC perspectives. A fuzzy ANP method is used next to determine the relative importance of the criteria based on the resulting DEMATEL interactive network. In the third step, two different fuzzy data envelopment analysis (DEA) methods are used to evaluate the relative efficiency of the decision making units (DMUs). The fuzzy DEA models are modified by using the relative importance of the criteria and the precedence relations among the input and output weights as additional constraints. Finally, the modified fuzzy DEA models are used to calculate the relative efficiency scores of the DMUs. In the ranking phase, an integration method grounded in the Shannon’s entropy concept is used to combine different efficiency scores and calculate the final ranking of the DMUs. The method proposed in this study is used to evaluate the performance of publicly held pharmaceutical companies actively trading on the Swiss Stock Exchange (SSE). Copyright Springer Science+Business Media New York 2015

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  • Madjid Tavana & Kaveh Khalili-Damghani & Rahman Rahmatian, 2015. "A hybrid fuzzy MCDM method for measuring the performance of publicly held pharmaceutical companies," Annals of Operations Research, Springer, vol. 226(1), pages 589-621, March.
    • Handle: RePEc:spr:annopr:v:226:y:2015:i:1:p:589-621:10.1007/s10479-014-1738-8
    DOI: 10.1007/s10479-014-1738-8
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    1. Hatami-Marbini, Adel & Emrouznejad, Ali & Tavana, Madjid, 2011. "A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making," European Journal of Operational Research, Elsevier, vol. 214(3), pages 457-472, November.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Saaty, Thomas L. & Vargas, Luis G., 1987. "Uncertainty and rank order in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 32(1), pages 107-117, October.
    4. K. Khalili-Damghani & M. Taghavifard & L. Olfat & K. Feizi, 2012. "Measuring agility performance in fresh food supply chains: an ordinal two-stage data envelopment analysis," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 4(3/4), pages 206-232.
    5. Wu, Hung-Yi & Lin, Yi-Kuei & Chang, Chi-Hsiang, 2011. "Performance evaluation of extension education centers in universities based on the balanced scorecard," Evaluation and Program Planning, Elsevier, vol. 34(1), pages 37-50, February.
    6. Kaveh Khalili-Damghani & Behnam Taghavifard, 2013. "Sensitivity and stability analysis in two-stage DEA models with fuzzy data," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 17(1), pages 1-37.
    7. Eilat, Harel & Golany, Boaz & Shtub, Avraham, 2008. "R&D project evaluation: An integrated DEA and balanced scorecard approach," Omega, Elsevier, vol. 36(5), pages 895-912, October.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Amado, Carla A.F. & Santos, Sérgio P. & Marques, Pedro M., 2012. "Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment," Omega, Elsevier, vol. 40(3), pages 390-403.
    10. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    11. Wang, Chun-Hsien & Lu, Iuan-Yuan & Chen, Chin-Bein, 2010. "Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance," International Journal of Production Economics, Elsevier, vol. 128(1), pages 413-426, November.
    12. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    13. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
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    Cited by:

    1. Shuli Liu & Xinwang Liu, 2016. "A Sample Survey Based Linguistic MADM Method with Prospect Theory for Online Shopping Problems," Group Decision and Negotiation, Springer, vol. 25(4), pages 749-774, July.
    2. Barak, Sasan & Dahooei, Jalil Heidary, 2018. "A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 134-149.
    3. Ata Allah Taleizadeh & Elham Haji-Sami & Mahsa Noori-daryan, 2020. "A robust optimization model for coordinating pharmaceutical reverse supply chains under return strategies," Annals of Operations Research, Springer, vol. 291(1), pages 875-896, August.
    4. Deyun Zhou & Yongchuan Tang & Wen Jiang, 2017. "An Improved Belief Entropy and Its Application in Decision-Making," Complexity, Hindawi, vol. 2017, pages 1-15, March.
    5. Shiva Moslemi & Abolfazl Mirzazadeh & Gerhard-Wilhelm Weber & Mohammad Ali Sobhanallahi, 2022. "Integration of neural network and AP-NDEA model for performance evaluation of sustainable pharmaceutical supply chain," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 1116-1157, September.
    6. Ahmet Kaya & Dragan Pamucar & Hasan Emin Gürler & Mehmet Ozcalici, 2024. "Determining the financial performance of the firms in the Borsa Istanbul sustainability index: integrating multi criteria decision making methods with simulation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-44, December.
    7. Kheybari, Siamak & Rezaie, Fariba Mahdi & Farazmand, Hadis, 2020. "Analytic network process: An overview of applications," Applied Mathematics and Computation, Elsevier, vol. 367(C).
    8. Madjid Tavana & Kaveh Khalili-Damghani & Francisco J. Santos Arteaga & Arousha Hashemi, 2020. "A Malmquist productivity index for network production systems in the energy sector," Annals of Operations Research, Springer, vol. 284(1), pages 415-445, January.
    9. Afrasiabi, Ahmadreza & Chalmardi, Mazyar Kaboli & Balezentis, Tomas, 2022. "A novel hybrid evaluation framework for public organizations based on employees’ performance factors," Evaluation and Program Planning, Elsevier, vol. 91(C).

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