Combining Data Envelopment Analysis and Rough Set Theory Approach to Analyze Efficiency of 3C Chain Store

• Main Authors: Yu-Quan Guo, 郭育銓
• Other Authors: Yang-Chieh Chin
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/61492089414467938728

碩士 === 亞洲大學 === 國際企業學系碩士班 === 101 === The computer, communication, and consumer electronic (3C) industries are flourishing throughout the world and 3C chain stores are spring up like mushrooms in Taiwan. In addition, market competition has also become more furious. Competitive Concerns among 3C chain stores are turning from price wars toward consumers, marketing, and operational efficiency. This has created more competitive advantages; in particular, distributors have gradually begun to focus on operational efficiency. Therefore, this research studied the 18 branches of a 3C chain store in central Taiwan and is based on their relevant information from 2009 to 2011. This study analyzed two stages of the 3C market operational efficiency model.The initial stage of the application is Data Envelopment Analysis, using input variables including the number of employees, the store floor number, opening hours. In addition, total sales of the major commodities, consumer numbers, and customer conversion rates constitute the output variables. These variables construct the assessment model for 3C chain stores. Second, the rough set theory can be used with (or without) the rules of operational efficiency. According to the results of this study, the most branches can achieve operational efficiency. This study advances theory and managerial implications of practice, serving as a reference to improve 3C chain stores’ operating efficiency.