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The evaluation of an index to measure the ‘sustainable vitality of financial industry

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The evaluation of an index to measure the ‘sustainable vitality of financial industry

De Lin Institute of Technology

Finance Department Assistant Professor

Hsieh, Sung-Yi yi@ms24.url.com.tw

National Kaohsiung University of Applied Sciences

Idustrial Engineering and Management Assistant Professor

Wang, Chia-Nam cn.wang@cc.kuas.edu.tw

Ching Kuo Institute of Management and Health. Department of Restaurant,

Hotel and Institutional Management. Assistant Professor

Ling, Hsiao-Chi Max.ling911@msa.hinet.net

Takming University of Science and Technology Department of Business Administration Lecturer Chao Chiao Cc0923@ms28.hinet.net

Abstract

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 index, to offer banks new perspectives and methods of assessment. In this study, we analyze the vitality index for human resources development of banking system. For the uncertainty, the factor weight for vitality index will be determined by using Fuzzy Delphi Method (FDM). Through the process of fuzzy synthetic decision (FSD), the model calculated the relative importance for each dimension of the mean factor. In this empirical study of commercial banks, the priority rank for the five dimensions are as follow: Efficiency, Leadership, Business Culture, Talents and Strategy.

Keywords: banking, competitiveness, vitality index

Introduction

Motivation

Traditional performance evaluation models for management focus on evaluation models for management focus on productivity and competitiveness. Most of them are financial index. But, the financial index cannot fully express the sustainable development of an enterprise. A lot of physical examination forms for the human body, which are used to measure the function of every system and thus evaluate human health. Similarly, enterprises use indices to manage performance of productivity and competitiveness. These explain the specify of enterprises to some extent, but not the complete source of an enterprise's sustainable development

.

Purposes

A lot of physical examination forms for the human body, which are used to measure the function of every system and thus evaluate human health. Similarly, enterprises use indices to manage performance of productivity and competitiveness. These explain the specify of enterprises to some extent, but not the complete source of an enterprise's sustainable development.

1. Establish “vitality index” as measuring indexes of performance of the Taiwanesefinancial industry.

2. Find a method of operation for the survival of business.

Methodology

This study determined the 'the vitality of sustainable development index' used by banks’ training, assigning and development department, using the fuzzy Delphi and Analytic Hierarchy Process (AHP) method. Chang and Lee (1995) adopted the original defuzzification method (OM) to determine the weight distribution of these factors, establishing a fuzzy decision system to choose the best candidates.

The Study of Literature

Living System Theory

Living System Theory was introduced by Miller (1978) in which he integrated social, biographical and scientific domains. From the “structure” and “process” of input, output, flow, stability and feedback, it will help us to understand characteristics of living system and further to construct a general conception system that will correspond to the important variables of concrete living system. Miller divided all living systems into seven levels and each level was represented by 19 sub-systems.

The Performance of Management

Szentes, Tamas (2005) proposed a method for measuring competitiveness, including products and services. An asset life cycle management (ALCM) model is subsequently presented for assets in the process industry, integrating the concepts of generic project management frameworks and systems engineering and operational reliability to deal with these inefficiencies (Schuman, et al. 2005).

Fuzzy Delphi method

Liang, S. K. et al. (2003) proposed a process capability index for measuring operation performance of banks’ industry. There is a new insight for the service quality of banks’ operation. Chang et al. (2000) developed a new fuzzy Delphi method to be used in

2009 Fourth International Conference on Innovative Computing, Information and Control

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problems that arise in relation to a bank's development, and especially training and assigning performance.

References

[1]Bryde, David J. (2005). Methods for managing different perspectives of project success, British Journal of Management, 16(2), 119-131

[2]Chang P. T., and 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

[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, In Seong, Tasuhiro, Y., Gen, M., Tozawa, T. (1995). An efficient approach for large scale project planning based on fuzzy Delphi method, Fuzzy Sets and Systems, 76, 277-288.

[5]Chow, Clare Chua and Luk, Peter (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]Liang , S. K., Chen, K. S., and Y. H. Hung , (2003) , "Measuring Banking Operation Performance by Applying a Process Capability Index " Journal of Information and Optimization Sciences, Vol. 24, No. 2 ,pp. .317-328. [8]Liang, Shing-Ko and Hsieh, Sung-Yi (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]Mehra, Satish, Inman, R Anthony and Tuite, Gregory (1988). A simulation-based comparison of TOC and traditional accounting performance measures in a process industry, Journal of Manufacturing Technology Management, 16(3), 328-342

[10]Schuman, Charles A and Brent, Alan 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, Tamás (2005). Interpretations, aspects and levels,

decisive factors and measuring methods of competitiveness, Society and Economy, 27(1), 5-41

[12]Ying Feng Kuo, and Ling Show Chen (2002). Using the fuzzy synthetic decision approach to access the performance of university in Taiwan, International Journal of Management, 19(4), 593-604.

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