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International Journal Of Engineering, Business And Management(IJEBM)

The evaluation of sustainable vitality of banking industry

Song-Yi Hsieh , Hsiao-Chi Ling , Chiao Chao , Ruei-Yuan Wang


International Journal of Engineering, Business And Management(IJEBM), Vol-7,Issue-4, July - August 2023, Pages 50-52 , 10.22161/ijebm.7.4.7

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Article Info: Received: 21 Jun 2023; Received in revised form: 25 Jul 2023; Accepted: 02 Aug 2023; Available online: 08 Aug 2023

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This study analyzes the dimensions of the vitality of development for banking systems. Fuzzy synthetic decisions are used to construct and evaluate a vitality of training, assigning, and development indexes to offer banks new perspectives and methods of assessment. In this study, we analyze the vitality index for human resources development in the banking system. For uncertainty, the factor weight for the vitality index will be determined by using the Fuzzy Delphi Method (FDM). Through the process of Fuzzy Synthetic Decision (FSD), the model calculated the relative importance of each dimension of the mean factor. In this empirical study of commercial banks, the priority ranks for the five dimensions are as follows: Efficiency, Leadership, Business Culture, Talents and Strategy.

Banking, Competitiveness, Vitality Index, Business Culture, Leadership

[1] Bryde, D. J. (2005). Methods for managing different perspectives of project success, British Journal of Management, 16(2), 119-131.
[2] Chang, I. S., Tasuhiro, Y., Gen, M., and Tozawa, T. (1995). An efficient approach for large scale project planning based on fuzzy Delphi method, Fuzzy Sets and Systems, 76, 277-288.
[3] Chang, P. T., and Lee, E. S. (1995). The estimation of normalized fuzzy weights, Computers and Mathematics with Applications, 29 (5), 21-24.
[4] Chang, P. T., Huang, L. C., and Lin, H. J. (2000). The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources, Fuzzy Sets and Systems, 112, 511-520.
[5] Chow, C. C. and Luk, P. (2005). A strategic service quality approach using analytic hierarchy process, Managing Service Quality, 15(3), 278-289.
[6] Kaufmann, A., and Gupta, M. M. (1988). Fuzzy mathematical model in engineering and management science, New York: North-Holland Inc.
[7] Leal, J. E. (2020). AHP-express: A simplified version of the analytical hierarchy process method, Methods X, 7: 100748. Published online 2019 Dec 4. doi:10.1016/j.mex.2019.11.021
[8] Liang, S. K. and Hsieh, S.Y. (2005). An examination of the professional ability index used by banks for training, using the fuzzy Delphi method, Journal of Insurance, Vol. 2, No. 1, pp.105-122.
[9] Liang, S. K., Chen, K. S., and Hung, Y. H. (2003). "Measuring Banking Operation Performance by Applying a Process Capability Index " Journal of Information and Optimization Sciences, Vol. 24, No. 2 ,pp.317-328.
[10] Schuman, C. A and Brent, A. C. (2005). Asset life cycle management: towards improving physical asset performance in the process industry, International Journal of Operations and Production Management, 25(6), 566-579.
[11] Szentes, T. (2005). Interpretations, aspects and levels, decisive factors and measuring methods of competitiveness, Society and Economy, 27(1), 5-41.
[12] Ying, F. K., and Ling, S. C. (2002). Using the fuzzy synthetic decision approach to access the performance of university in Taiwan, International Journal of Management, 19(4), 593-604.