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Student Number 93431003
Author Jui-Cheng Shen(沈瑞程)
Author's Email Address No Public.
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Department Executive Master of Business Administration
Year 2006
Semester 1
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title 衡量半導體零組件通路商之相對經營績效
Date of Defense 2007-01-07
Page Count 51
Keyword
  • Benchmark Learning
  • Data Envelopment Analysis (DEA)
  • Semiconductor Component Distributor
  • Abstract With the prosperous growth of semiconductor market in China, it is found that the supply chain is getting longer and harder to maintain. Therefore, semiconductor component distributor becomes more and more important and indispensable in this field. Today, there are more than hundred companies which play as distributors, but what kind of distributors could really satisfy both vendors and manufacturers?
    In this research, raw data of each distributor is collected from public “Market Observation Post System” which is held by “Taiwan Stock Exchange Corporation”. DEA method is adopted to evaluate all distributors’ performance in order to realize the relative positions for all being-estimated distributors. Furthermore, this research tries to classify each distributor’s management status by 5-year-long performance change. Then, using the conclusions we have from above, this research studies each distributor’s financial characteristics in order to look for if there is any remarkable difference between benchmark and non-benchmark distributors.
    Here summarize the conclusions of this research:
    1.Regarding to management performance, this research shows that good performance distributors are getting stronger and vice versa. The benchmark group includes 3 companies, which are Supreme, Edom and PCT. The members of fall-behind group are Frontek, SAC and Zenitron.
    2.This research classifies distributors into six types by Malmquist Productivity Index and CCR. Among these six groups, PCT, whose scale of asset is the smallest, is the one with the best performance. However, some distributors with far bigger asset than other competitors are not good enough as people think, like WPI and Yosun.
    3.Getting further to analyze the root causes which could affect distributors’ performance, this research finds that benchmark distributors are doing excellent on following aspects: Current Ratio/Quick Ratio and Inventory Turnover Ratio/Days-Inventory Turn.
    4.To analyze the performance fall-behind distributors, it shows they are poor at following aspects: A/R Turnover Ratio/Average Collection Period, ROA, ROE, and Pre-Tax Income Capital ratio.
    5.This research shows that there is no obvious difference between benchmark and non-benchmark distributors on following aspects: Company Setup Duration and Employee on-job Duration. It concludes that old distributors or distributors with long on-job employees are not certainly with better performance.
    Table of Content 第一章 緒論1
    1.1 研究背景與動機1
    1.2 研究目的2
    1.3 研究流程與論文組織3
    第二章 文獻探討5
    2.1 半導體產業之上中下游現況5
    2.2 半導體零組件通路商之經營問題17
    2.3 通路商之相關實證文獻19
    第三章 研究方法23
    3.1 研究架構23
    3.2 研究範圍與研究樣本24
    3.3 經營效率衡量模式24
    3.4 投入、產生變數之選取與探討27
    第四章 研究結果29
    4.1 通路商之經營效率衡量29
    4.2 無效率通路商之改善對策35
    4.3 通路商於各年度之效率分群39
    4.4 通路商之經營效率變遷與分類41
    4.5 標竿通路商之特性分析45
    第五章 結論與建議48
    5.1 研究結論48
    5.2 後續研究建議49
    參考文獻50
    Reference 一、中文部分
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    11.周正逸(2005),「我國IC產業之績效評估探討」,銘傳大學應用統計資訊學系碩士班碩士論文
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    13.胡聖生(2001),「我國半導體零件通路產業之競爭策略分析-以世平興業股份有限公司為例」,中山大學企業管理學系研究所碩士論文
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    15.高銘聰(2001),「台灣半導體通路產業分析與通路商轉型創新研究」,政治大學經營管理碩士學程碩士論文
    16.張世其(2004),「以資料包絡分析法探討台灣IC設計上市公司之經營效率」,彰化師範大學企業管理系碩士論文
    17.陳文一(2002),「我國電子通路產業之競爭策略研究-以半導體零組件通路商為例」,輔仁大學管理學研究所碩士論文
    18.陳慧玲(2005),「IC通路類股週報」,電子時報(2005/01/13)
    19.鄧榮惠(2005),「2005年台灣IC設計產業現況分析與未來展望」,電子工程專輯
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    21.黃雯君(2001),「兩岸半導體產品行銷通路管理之研究」,中山大學國際高階經營管理研究所碩士論文
    22.童怡璇(2004),「台灣電子業技術效率分析─三階段資料包絡分析法之應用」,中央大學產業經濟研究所碩士論文
    23.簡肇頌(2004),「半導體零組件通路商競爭策略探討及經營績效之研究--以我國上市櫃公司為例」,輔仁大學科技管理學程碩士在職專班碩士論文
    24.龔明鑫(2006),「2015台灣製造業發展願景與規劃」,台灣經濟研究院
    二、英文部分
    1. Banker, R. D., Charnes, A. and Cooper, W. W. (1984) “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, Vol. 30
    2. Cave, D. W., Christensen, L. R. and Diewert, W. E. (1982) “The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity,” Econometrica, Vol. 50
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    4. Charles, W. L. Hill and Gareth R. Jones (2004) “Strategic Management Theory,” Houghton Mifflin Company
    5. Charnes, A., Cooper, W. W. and Rhodes, E. (1978) “Measuring the Efficiency of Decision making Units,” European Journal of Operational Research, Vol. 2
    6. Charnes, A., Cooper, W. W. and Rhodes, E. (1979) “Short Communication: Measuring the Efficiency of Decision making Units,” European Journal of Operational Research, Vol. 3
    7. Fare, R., Grosskopf, S., Lindgren, B. and Roos, P. (1992) “Productivity Changes in Swedish Pharmacies 1980-1989: A Non-Parametric Malmquist Approach,” Journal of Productivity Analysis, Vol. 3
    8. Farrell, M. J. (1957) “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, Series A, Vol. 120
    9. Farrell, M. J. and Feildhouse, M. (1962) “Estimating Efficient Production Under Increasing Returns to Scale,” Journal of the Royal Statistical Society, Series A, Vol. 125
    Advisor
  • Dong-Shang Chang(張東生)
  • Files
  • 93431003.pdf
  • disapprove authorization
    Date of Submission 2007-01-19

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