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The evaluation of pension institution service quality in China: a novel method based on BWM and Grey-TOPSIS

Author

Listed:
  • Weiliang Zhang

    (Nanjing University of Aeronautics and Astronautics)

  • Sifeng Liu

    (Nanjing University of Aeronautics and Astronautics
    Northwestern Polytechnical University)

  • Junliang Du

    (Northwestern Polytechnical University)

  • Liangyan Tao

    (Nanjing University of Aeronautics and Astronautics)

  • Wenjie Dong

    (Nanjing University of Aeronautics and Astronautics)

  • Muhammad Nawaz

    (Nanjing University of Aeronautics and Astronautics)

Abstract

In an ageing society, the service quality of pension institutions has become increasingly prominent. This paper proposes combining Best Worst Method (BWM) and Grey Technique for Order Preference by Similarity to an Ideal Solution (Grey-TOPSIS) method for service quality evaluation of pension institutions. Firstly, we construct a Donabedian’s structure, process and outcome (SPO) model of service quality evaluation criteria with three criteria and fifteen sub-criteria. This is a comprehensive indicator evaluation system. Then, the weights of each criterion are calculated by BWM and Grey-TOPSIS is used to rank the pension institutions. Finally, the effectiveness of the evaluation method proposed in this paper is verified by an illustrative example of pension institution service quality evaluation.

Suggested Citation

  • Weiliang Zhang & Sifeng Liu & Junliang Du & Liangyan Tao & Wenjie Dong & Muhammad Nawaz, 2024. "The evaluation of pension institution service quality in China: a novel method based on BWM and Grey-TOPSIS," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1562-1581, September.
    • Handle: RePEc:spr:opsear:v:61:y:2024:i:3:d:10.1007_s12597-024-00739-3
    DOI: 10.1007/s12597-024-00739-3
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    References listed on IDEAS

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    1. Hannan Amoozad Mahdiraji & Sepas Arzaghi & Gintaras Stauskis & Edmundas Kazimieras Zavadskas, 2018. "A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture," Sustainability, MDPI, vol. 10(5), pages 1-26, May.
    2. Justin Goodson & Wooseung Jang, 2008. "Assessing nursing home care quality through Bayesian networks," Health Care Management Science, Springer, vol. 11(4), pages 382-392, December.
    3. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    4. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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