Title

主機板廠商經營效率分析及改善之研究

Translated Titles

Operation Efficiency Analysis and Improvement in Taiwan Computer Motherboard Industry

Authors

連峻慶

Key Words

資料包絡分析 ; 效率 ; 獲利能力 ; 標竿學習 ; 合併/購併 ; DEA ; Efficiency ; Profitability ; Benchmarking ; Acquisition/Merger

PublicationName

元智大學管理研究所學位論文

Volume or Term/Year and Month of Publication

2000年

Academic Degree Category

碩士

Advisor

湯玲郎

Content Language

英文

Chinese Abstract

本文以台灣24家生產主機板的廠商為研究對象,探討廠商於1997、1998及1999年之間的經營效率與獲利能力,比較孰優孰劣。我們使用資料包絡分析法(Data Envelopment Analysis)來計算相對效率值,投入項包括:流動資產、固定資產、其他資產、銷貨成本、管銷費用、研發費用及其他費用共七項。產出項包括:主機板銷售額、不含主機板的銷售額及其他收入共三項。其次,以效率/獲利能力矩陣解釋代表經營效率的效率值與代表獲利能力的資產報酬率間之差異,藉以找出經營效率及獲利能力之間的關連性,並對經營效率良好、獲利卻不佳等公司提出改善方式。 本文亦透過兩種方法,協助廠商改善經營效率、增加生產力。使用標竿學習法(Benchmarking)結合DEA法,幫助不具經營效率的廠商得知應從哪方面著手來改善經營效率、增加獲利。其次,我們使用DEA作為挑選合併對象的方法。我們在〝假設合併〞的情況下,使用DEA指出該選擇哪家公司合併,藉以快速提升經營效率、增加生產能力。 研究結果發現,經營具效率的公司大多獲利良好,至於經營效率不佳的廠商,本研究透過與績效優良公司(Best Practice)比較,分析其中差距(Gap),作為不效率公司改善經營效率的努力方向。至於在評選合併公司過程中,DEA亦扮演新的分析角色,來協助決策單位挑選可增加/維持經營效率的合併對象。

English Abstract

Utilizing Data Envelopment Analysis (DEA), this paper examines the relative efficiency of 24 companies over a period of 3 years in the Taiwan computer motherboard industry. The study has indicated how to use DEA to identify individual manufacturing companies that are less efficient than other comparable units in terms of output factors relative to input factors. The study results show that out of a sample of 65 DMUs, 35 were found to be relatively efficient. Simultaneously, we employ efficiency/profitability matrix to explain the difference between efficiency and profitability in these companies. Furthermore, we utilize the two well-known approaches for corporations to improve their operation efficiency and productivity: Benchmarking and Acquisition/Merger. DEA can identify benchmarking partners who are the best and analyze the inefficiency to improve their efficiency. Furthermore, we use DEA as a tool to find out who is the best candidate to be acquired/merged to get productivity. We find most efficient companies can have good profitability. For those inefficient and productivity-insufficient companies we also provide the improving way as DEA results show. We believe that such computations hold the potential of becoming a useful tool assisting financial analysts and managers in their routine evaluation of the performance of corporations and industries.

Topic Category 管理學院 > 管理研究所
社會科學 > 管理學
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