Applying Data Envelopment Analysis and Fuzzy Linguistic Preference Relations in 3C Chain Stores in Taiwan– A Case Study of Elifemall in Kaohsiung

碩士 === 國立高雄應用科技大學 === 企業管理系 === 98 === In the past for the 3C industry are mostly qualitative research or for inter-enterprise performance to explore, still unable to clarify the single enterprise between its stores and performance of resources invested in the question of whether efficient. The chai...

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Bibliographic Details
Main Authors: Cheng-Yen Chen, 陳政諺
Other Authors: Jung-Fang Chen
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/51192164500779742180
Description
Summary:碩士 === 國立高雄應用科技大學 === 企業管理系 === 98 === In the past for the 3C industry are mostly qualitative research or for inter-enterprise performance to explore, still unable to clarify the single enterprise between its stores and performance of resources invested in the question of whether efficient. The chain in the retail market in today's Taiwan is already a major business trend, 3C retail chain in which the method is even based on Direct mainly, its technology in the management of the implementation of the join-style chain can be compared to the more rapid and less susceptible to interference. Therefore, this study bases on 20 outlets of Elifemall in Kaohsiung to explore the use of quantitative methods to influence the relative performance of branch outlets and key success factors and impact. In this study, Wang & Chen (2008) published by the Fuzzy Linguistic Preference Relations Act (Fuzzy LinPreRa) to understand the chain of input and output between the importance of the project, relevant literature through performance indicators compiled by reference to the five stores manager suggestions are put in resources out of five performance indicators and seven outputs, and applies DEA (Data Envelopment Analysis, DEA) of the outlets relative efficiency between the inputs and outputs required for the project and to improve the direction and level. Then follow the store's technical efficiency and scale efficiency is divided into four groups to compare the four key success factors for the industry as a reference for future business decisions, Finally, by Tobit regression analysis clarify the various project inputs and outputs are obtained for the total DEA efficiency, pure technical efficiency and scale efficiency is a significant. The results showed that the number of shop floor, shop rents and sales of computer was the lowest of the three weight, And by pure technical efficiency and scale efficiency are divided among the four types of group efficiency, the performance of its input and output resources are significantly different, and the input resources and output in the performance of the overall operating efficiency is also significantly affected, showing that business to improve operating efficiency of the outlets can be aimed at improving the sharpest and has a significant effect on the input and output resources to do to improve performance in order to be effective in the short term income.