An Empirical Study of Key Performance Indicators of Logistics Management in Network Industry: An Application of Fuzzy Analytic Hierarchy Process / 網路通訊產業運籌管理之關鍵績效指標-模糊分析層級程序法之實證研究

碩士 / 中原大學 / 會計研究所 / 97 / Network industry in Taiwan is in rapid growing stage due to the generalization of notebooks and wireless facilities. With the needs of the market and entering of competitors, network industry has formed fierce price wars. In order to stand out in the market, enterprises are required to make better use of logistic management. The ideal method for the industry to establish a highly efficient logistic management is to construct a suitable performance measurement (Kaplan, 1999;Beamon, 1996).

This study organizes relevant literatures and analyzes network industry with regards to performance indicator assessment methods and key factors of logistic management. Moreover, apply Kaplan and Norton’s balance scorecard theory to design an ideal performance indicator of logistic management and use Fuzzy Analytic Hierarchy Process to work out four major dimensions based on the survey which focuses on network industry. Furthermore, select top five key performance indicators which affect the application of logistic management as the guidance for the vision and goal of enterprises and use performance indicator as reference. This study investigates not only on the key performance factors of logistic management in network industry, as well as in pursue for optimal solutions to re-engineer company performance through the selection and evaluation of correct key performance indicators and lead employees to work towards common goal.

Study shows the four dimensions of network industry emphasizes on “Customer Perspective” as the top priority, “Financial Perspective” as the second priority, then goes on about “Process Perspective” and “Learning and Growth Perspective”. The priority of key performance indicators are “Customer Satisfaction Level” , “Product Return Rate”, “Existing Customer Turnover Rate (Customer Retentions Rate)” , “Market Share Fluctuation Rrate”, and “Order Processing Time Rate”. The result shows the most significant factor in logistic management of network industry is customer.

Identiferoai:union.ndltd.org:TW/097CYCU5385027
Date January 2009
CreatorsFuang-Ching Huang, 黃芳卿
ContributorsLi-Lun Liu, 劉立倫
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format94

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