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A comparative study on performance measurement of Indian public sector banks using AHP-TOPSIS and AHP-grey relational analysis

Author

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  • Shivani Guru

    (Sambalpur University)

  • D. K. Mahalik

    (Sambalpur University)

Abstract

Banks are the financial intermediaries and important means for the advancement of economies. In the cutthroat competitions, the increase in market shares is a matter of concern for all. Banks are expected to increase their efficiency to boost competitive capacity, which also helps the Decision-maker to know about grey areas for development. Therefore, performance measurements of efficiency calculation, by using different methods are the concern for research across the world. This paper tries to use the combination of AHP, TOPSIS, and Grey Relational Analysis for efficiency calculation of different public sector banks in India and finally, results were compared. AHP is used to determine the weight criteria and Grey Relational Analysis and TOPSIS are used to rank the bank performances. The proposed method of this study used various inputs and outputs criteria which were taken from various banks annual reports. Descriptive statistics and correlation matrix were used to test the validity of the criteria. The findings reveal that banks which are considered as efficient are close to relative closeness to the ideal solution, expose an alternative ranking of the banks, present research also provides better insight to focus on the area of improvement in comparison to others banks. The Comparative result shows both models have the almost same interpretation. Little deviation in their ranks is due to methodological differences. The proposed research will provide a framework for further applications and both approaches will help decision maker of Indian Public sector banks to find optimal solutions to the complex problems by assessing various alternatives.

Suggested Citation

  • Shivani Guru & D. K. Mahalik, 2019. "A comparative study on performance measurement of Indian public sector banks using AHP-TOPSIS and AHP-grey relational analysis," OPSEARCH, Springer;Operational Research Society of India, vol. 56(4), pages 1213-1239, December.
    • Handle: RePEc:spr:opsear:v:56:y:2019:i:4:d:10.1007_s12597-019-00411-1
    DOI: 10.1007/s12597-019-00411-1
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    References listed on IDEAS

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    1. Mohammad Rezaei & Saeedeh Ketabi, 2016. "Ranking the Banks through Performance Evaluation by Integrating Fuzzy AHP and TOPSIS Methods: A Study of Iranian Private Banks," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(3), pages 19-30, July.
    2. Juthathip Suraraksa & Kwang Sup Shin, 2019. "Comparative Analysis of Factors for Supplier Selection and Monitoring: The Case of the Automotive Industry in Thailand," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    3. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(4), pages 708-728, September.
    4. Lizhong Tong & Zhongmin Pu & Jizheng Ma, 2019. "Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study," Sustainability, MDPI, vol. 11(6), pages 1-15, March.
    5. Peipei You & Sen Guo & Haoran Zhao & Huiru Zhao, 2017. "Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    6. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    7. Tihana Škrinjarić & Boško Šego, 2018. "Using Grey Incidence Analysis Approach in Portfolio Selection," IJFS, MDPI, vol. 7(1), pages 1-16, December.
    8. Sunil Luthra & Sachin Kumar Mangla & Sanjay Kumar & Dixit Garg & Abid Haleem, 2017. "Identify and prioritise the critical factors in implementing the reverse logistics practices: a case of Indian auto component manufacturer," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 11(1/2), pages 42-61.
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    5. Huanhuan Zhao & Yunbo Yu & Sunping Qu & Yong Liu, 2022. "A Grey Incidence Based Group Decision-Making Approach and Its Application," Mathematics, MDPI, vol. 10(7), pages 1-13, March.
    6. Snežana Tadić & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2020. "Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    7. Zhao, Laijun & Li, Deqiang & Guo, Xiaopeng & Xue, Jian & Wang, Chenchen & Sun, Wenjun, 2021. "Cooperation risk of oil and gas resources between China and the countries along the Belt and Road," Energy, Elsevier, vol. 227(C).

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