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Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy

Author

Listed:
  • Abteen Ijadi Maghsoodi

    (Islamic Azad University)

  • Gelayol Abouhamzeh

    (Islamic Azad University)

  • Mohammad Khalilzadeh

    (Islamic Azad University)

  • Edmundas Kazimieras Zavadskas

    (Vilnius Gediminas Technical University)

Abstract

The selection process of appropriate Performance Appraisal (PA) methods for organizations in today’s dynamic and agile environments along with its funding scales is a complex problem. Performance appraisal in modern organizations has become a part of the strategic approach toward integrating business policies and human resource activities. The existence of multiple criteria in the decision-making procedure makes finding the optimal PA method more challenging. The current study tackles a PA method assessment by applying a multiple criteria decision analysis method i.e., MULTIMOORA integrated Shannon’s entropy significance coefficient. A case study on the optimal PA method selection is analyzed by identifying the criteria and alternatives based on the literature and expert comments of the case-study employing two approaches, that is, MULTIMOORA and Entropy MULTIMOORA. The final rankings of the suggested methods are compared to TOPSIS and TOPSIS integrated Shannon’s entropy methods utilizing correlation coefficients of the final ranks. Eventually, by identifying the optimal PA approach i.e., 360-degree feedback, the selected optimal method employed in the case study and results are demonstrated and described with a comprehensive example.

Suggested Citation

  • Abteen Ijadi Maghsoodi & Gelayol Abouhamzeh & Mohammad Khalilzadeh & Edmundas Kazimieras Zavadskas, 2018. "Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy," Frontiers of Business Research in China, Springer, vol. 12(1), pages 1-21, December.
    • Handle: RePEc:spr:fobric:v:12:y:2018:i:1:d:10.1186_s11782-017-0022-6
    DOI: 10.1186/s11782-017-0022-6
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    References listed on IDEAS

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    1. Anjali Awasthi & Tomas Baležentis, 2017. "A hybrid approach based on BOCR and fuzzy MULTIMOORA for logistics service provider selection," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 27(3), pages 261-282.
    2. Chen, Bin R., 2015. "Subjective performance feedback, ability attribution, and renegotiation-proof contracts," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 155-174.
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    5. Alessio Ishizaka & Vijay Edward Pereira, 2016. "Portraying an employee performance management system based on multi-criteria decision analysis and visual techniques," International Journal of Manpower, Emerald Group Publishing Limited, vol. 37(4), pages 628-659, July.
    6. Liu, Hu-Chen & You, Jian-Xin & Lu, Chao & Chen, Yi-Zeng, 2015. "Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 932-942.
    7. Imtiaz Ahmed & Ineen Sultana & Sanjoy Kumar Paul & Abdullahil Azeem, 2013. "Employee performance evaluation: a fuzzy approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 62(7), pages 718-734, September.
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    Cited by:

    1. Asante, Dennis & He, Zheng & Adjei, Nana Osae & Asante, Bismark, 2020. "Exploring the barriers to renewable energy adoption utilising MULTIMOORA- EDAS method," Energy Policy, Elsevier, vol. 142(C).
    2. Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.
    3. Abteen Ijadi Maghsoodi & Arta Ijadi Maghsoodi & Amir Mosavi & Timon Rabczuk & Edmundas Kazimieras Zavadskas, 2018. "Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach," Sustainability, MDPI, vol. 10(12), pages 1-18, November.
    4. K. Koppiahraj & S. Bathrinath & V. G. Venkatesh & Venkatesh Mani & Yangyan Shi, 2023. "Optimal sustainability assessment method selection: a practitioner perspective," Annals of Operations Research, Springer, vol. 324(1), pages 629-662, May.
    5. Kamali, Behnaz & Ziaei, Ali Naghi & Beheshti, Aliasghar & Farmani, Raziyeh, 2022. "An open-source toolbox for investigating functional resilience in sewer networks based on global resilience analysis," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).

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