跳到主要內容

臺灣博碩士論文加值系統

(34.226.244.254) 您好!臺灣時間:2021/08/01 02:45
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:周虹玗
研究生(外文):Hung-Yu Chou
論文名稱:台灣高科技產業經營績效之評估-以宏�痋B華碩和廣達為例
論文名稱(外文):The Evaluation of Management Performance in Taiwan High-tech Industry - A case of Acer, Asustek and Quanta
指導教授:蔣廷芳蔣廷芳引用關係
學位類別:碩士
校院名稱:元智大學
系所名稱:國際企業學系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:102
中文關鍵詞:資料包絡分析效率超效率分析超額變數分析法Malmquist 生產力指數
外文關鍵詞:DEAEfficiencySuper-efficiency analysisSlacks base measureMalmquist type index.
相關次數:
  • 被引用被引用:5
  • 點閱點閱:334
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本文以台灣三家生產筆記型電腦的廠商-宏�痋A華碩及廣達為研究對象,探討廠商於2000至2007年之間的經營效率,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:總資產、銷貨成本、管理費用、研發費用及員工人數共五項。產出項包括:營業毛利及稅前淨利共兩項。
接下來,我們使用超效率分析法,超額變數分析法及Malmquist 生產力指數來做進一步的分析。超效率分析法主要用於分類和排序已被評估為完全有效率之決策單位。而超額變數分析法可提供無效率之決策單位的管理者改善方向及範圍。最後,Malmquist 生產力指數可用來分析此三家筆記型電腦廠商的成長潛力。
本研究結果指出在固定報酬模式中,宏�硈怢蒝蒛擙觸v,接下來為華碩,廣達最不具整體效率。但在變動報酬模式中,宏�痐斑怢蒟繙擏瑋N效率,接下來為華碩,廣達最不具純粹技術效率。然而,在Malmquist 生產力指數指出,廣達具有最高的追趕效率,即廣達最具發展潛力。另外也指出,宏�硉o展速度最快,廣達次之,最後為華碩。
This study applies Data Envelopment Analysis (DEA), a multiple inputs–multiple outputs evaluation method, to analyze the relative efficiency of three companies including Acer, Asustek and over a period of 8 years from 2000 to 2007 in the Taiwan notebook PC industry. The study has indicated how to use DEA to identify individual companies that are less efficient than other comparable units in terms of output factors relative to input factors.
Furthermore, we use the super-efficiency analysis, slacks base measure and Malmquist type index. The purpose of super-efficiency is to sort and rank the estimative and efficient result of DEA. And the slack base measure provides information about the directions and the range to improve efficiency for the manager of an inefficient DMU. In addition, Malmquist indices of productivity change are also used to analyze the growth potentials of the three companies.
The study results of technical efficiency in CCR model indicate that Acer Company is the most efficient with the average value, followed by Asustek, Quanta is the least efficient. But the results of BCC models point out that Acer Company is the most efficient with the average value, followed by Quanta, Asustek is the least efficient. In Malmquist indices of productivity model, Quanta has the highest Catching –up Efficiency (CIE) scores which bring about the potential for its development. Acer’s speed of development is the fastest, followed by Quanta, Asus is the slowest.
Chapter 1 Introduction.................................1
1.1 Research Background and Motivation.................1
1.2 Research Objectives and Methodology................2
1.3 Research Procedures................................3
Chapter 2 Literature Review............................5
2.1 The Definitions and Characteristics of High-tech Industries..............................................5
2.2 Introduction of Efficiency Measurement.............10
2.3 Comparative Efficiency Measurement.................16
Chapter 3 Research Methodology.........................23
3.1 Research Design....................................23
3.2 Research Scope and Sample Selection................25
3.3 Data Sources.......................................25
3.4 Data Envelopment Analysis..........................26
3.5 Malmquist Productivity Index.......................46
3.6 The Characteristics and Limitations of DEA.........51
3.7 The application procedure of DEA...................54
Chapter 4 Empirical Results............................56
4.1 Industry Analysis..................................56
4.2 Company Introduction...............................62
4.3 Empirical Data Description.........................68
4.4 Empirical results..................................72
Chapter 5 Conclusions..................................93
5.1 Conclusions........................................93
5.2 Limitations........................................94
5.3 Suggestions........................................95
Reference ...............................................96
Reference
Chinese
王進金(2005)。應用DEA評估高中職學科辦學績效之研究。私立中華大學經營管理研究所碩士論文。

末吉俊幸(2006)。經營效率分析法 : DEA=Data envelopment analysis。鼎茂圖書出版有限公司。

朱家勳(2004)。台灣有線電視系統台經營績效之研究-綜合運用DEA與AHP模式。私立長庚大學企業管理研究所在職專班碩士論文。

吳明穎(1999)。我國高科技產業經營績效之研究-以上市電子業為例。成功大學會計研究所碩士論文。

李羿賢(2007)。國際筆記型電腦產業價值鏈經營策略績效分析。國立台灣大學會計學研究所碩士論文。

范慧宜(2000)。我國高科技產業國際競爭優勢之實證研究-以LED為例。私立文化大學國際企業管理研究所碩士論文。

洪淑娟(2003)。筆記型電腦產業之經營效率-以資料包絡法分析。私立世新大學經濟學系碩士論文。

徐潤忠(2006)。IC載板產業經營績效評估-以DEA與MPI模式分析法。國立中央大學企業管理研究所碩士論文。

孫嘉祈、林亭汝、曾國雄(2008)。以生產力指數探討全球前四大筆記型電腦代工廠商之經營績效趨勢。臺灣企業績效學刊 第一卷,第2期,第147-173頁。

連峻慶(2000)。主機板廠商經營效率分析及改善之研究。元智大學管理研究所碩士論文。

高強、黃旭南、Toshiyiki Sueyoshi(2003)。管理績效評估—資料包絡分析法。華泰文化事業公司。

許士軍(1990)。管理學。東華書局。

許雅惠(2000)。華碩電腦企業文化對財務績效之影響。國立中央大學企業管理研究所碩士論文。

陳佳儀(2000)。股利宣告對股價超常報酬的影響-以台灣集團與非集團上市公司為例。國立中央大學企業管理研究所碩士論文。

陳永志(2001)。使用資料包絡分析法評估我國資訊服務業之經營效率。國立交通大學科技管理研究所碩士論文。

陳禹廷(2003)。我國產險業經營績效之研究-資料包絡分析法之應用。朝陽科技大學保險金融管理系碩士論文。

張晃銘(2004)。台灣區自來水事業績效評估—包絡分析法之應用。真理大學管理科學研究所碩士論文。

游聲裕(2000)。我國電腦及週邊產業企業經營績效剖析。國立成功大學企業管理學碩士論文。

黃金成(2001)。科學園區資源投入產出效率和產業引進策略之研究-以DEA及AHP方法分析。國立成功大學國際企業研究所碩士論文。

黃鏡如、傅祖壇、黃美瑛(2008)。績效評估 : 效率與生產力之理論與應用。新陸書局。

曾幸瑋(2006)。資料包絡分析法排序模式與鑑別度提升之研究。國立台北科技大學商業自動化與管理研究所碩士論文。

葉秀瑾(2001)。台灣電子科技產業產品開發部門之組織學習模式與績效關聯性之探索。長庚大學企業管理研究所碩士論文。

楊永嘉(2003)。美國高科技廠商之效率評析-以資料包絡分析法。私立東吳大學經濟學系碩士論文。

溫宗翰(2005)。高科技產業相對經營效率之研究。私立中華大學經營管理研究所碩士論文。

鄭友超(1993)。學校效能理論及其相關研究之探討。職業教育學院學報,第二期,頁119-120。

劉環(2002)。台灣高科技產業經營績效評估與風險關係之研究-以新竹科學園區為例。私立東吳大學經濟學系碩士論文。

蔡錦裕(2005)。筆記型電腦市場地位與競爭策略之研究。中華管理學報 第六卷 第一期 第17-36頁。

薄喬萍(2005)。績效評估之資料包絡分析法。五南圖書出版有限公司。

顏旭良(1998),台灣高科技產業經營績效評估與其資源配置特性之關係研究-以新竹科學工業園區為例。成功大學企業管理研究所碩士論文。

蘇進祿(2004)。以資料包絡分析法評估鋼鐵產業經營績效之研究。國立成功大學管理學院高階管理碩士在職專班。

Chinese Internet Source
全國碩博士論文資訊網:http://etds.ncl.edu.tw/theabs/index.jsp
CETD中文電子學位論文:http://www.cetd.com.tw/ec/index.aspx
臺灣證券交易所:http://www.twse.com.tw/ch/index.php
IT IS智網:http://www.itis.org.tw/index.jsp
資策會資訊資料服務中心:http://www.cisc.iii.org.tw/
公開資訊觀測站:http://newmops.tse.com.tw/

English
Al-Khaldi, M. A. and R. S. Wallace (1999). The in‾uence of attitudes on personal computer utilization among knowledge workers: the case of Saudi Arabia. Information and Management, Vol. 36, pp. 185-204.

Banker, R. D., A. Charnes and W. W. Cooper(1984). Some models for estimating technical and scale efficiencies in data envelopment analysis. Management Science, Vol. 30, No. 9, 1078-1092

Battese, G. E. and T. J. Coelli (1992). Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India. The Journal of Productivity Analysis, Vol. 3, pp. 153-169.

Barbiroli, G. and A. Focacci (2005). Product diversification in the computer industry: a structural analysis. European Journal of Operational Research, Vol. 25, pp. 947-970.

Bresnahan, T. and F. Malerba (1997). Industrial Dynamics and the Evolution Of Firms = and Nations = Competitive Capabilities in the World Computer Industry. Sources of industrial leadership: studies of seven.

Bresnahan, T. F. and S. Greenstein (1999). Technological Competition and the Structure of the Computer Industry. Journal of Industrial Economics, Vol. XLVII, No.1.

Charnes, A., W. W. Cooper and E. Rhodes(1978). Measuring the efficiency of decision making units. European Journal of Operational Research Vol.2, 429-444.

Caves, D. W., L. R. Christensen and W. E. Diewert (1982). The Economic Theory Of Index Numbers And The Measurement Of Input, Output, And Productivity. Econometrica, Vol. 50, pp. 1393-1414.

Chakravarthy, B(1986). Measuring Strategic Performance. Strategic Management Journal, 7(5), pp. 437-458.

Climaco, C.(1992). Getting to Know School Using Performance Indicators: Criteria, Indicators and Processers. Englewood Cliffs, New Jersey:Scott Forsman and Company.

Chang, P. L., C. W. Hsu and C. T. Tsai (1999), “A stage approach for industrial technology development and implementation—the case of Taiwan’s computer industry,” Technovation, Vol. 19, pp. 233-241.

Chen, Y. and A. I. Ali (2004). DEA Malmquist productivity measure: New insights with an application to computer industry. Vol. 159, pp. 239-249.

Chen, J. C., H. L. Wu and B. W. Lin (2006). Evaluating the development of high-tech industries: Taiwan’s science park. Technovation, Technological Forecasting and Social Change, Vol. 73, pp. 452-465.

Ching-Kai Hsiao, C. K., C. T. Ting and Y. H. Lin (2004). The Performance Analysis of Adopting Information System by Agricultural Groups in Taiwan. AFITA/WCCA JOINT CONGRESS ON IT IN AGRICULTURE.

Day, D. L., Lewin, A. Y. and Li, H.(1995). Strategic Leaders or Strategic Groups: a longitudinal Data Envelopment Analysis of the U.S. Brewing Industry. European Journal of Operational Research 80, pp. 619-638

Dedrick, J. and K. L. Kraemer ( 2002). Globalization of the Personal Computer Industry: Trends and Implications. Center for Research on Information Technology.

Dedrick, J. and K. L. Kraemer ( 2002). Globalization of Innovation: The Personal Computing Industry. Center for Research on Information Technology.

Diana, L., A. Y. Lewin and H. Li (1995). Strategic leaders or strategic groups: A longitudinal Data Envelopment Analysis of the U.S. brewing industry. European Journal of Operational Research, Vol. 80, pp. 619-638.

Duysters, G. and J. Hagedoorn (2000). CORE COMPETENCES AND COMPANY PERFORMANCE IN THE WORLD-WIDE COMPUTER INDUSTRY. The Journal of High Technology Management Research, Vol. 11 pp. 75-91.

Dedrick, J. and K. L. Kraemer (2003). Knowledge Management across Firm and National Boundaries: Notebook PC Design and Development. Asia trip report for GII 12-11-03.doc.

Farrell, M.J.(1957). The measurement of productive efficiency. Journal of the
Royal Statistical Society Series A Part III, pp.253-290.

Färe, R., Grosskopf, S., Lindgren, B. and Ross, P. (1992). Productivity Changes in Swedish Pharmacies 1980-1989: A Non-Parametric Malmquist Approach. Journal of Productivity Analysis, Vol.3 pp. 85-101.

Gleason, J. M. and T. B. Dariod(1982). Toward Valid Measures of Public Sector Productivity:Performance Measure in Urban Transit. Journal of Management Science, 28(4).

Golany, B., and Roll, Y. (1989). An application procedure for data envelopment analysis. Omega, 17(3), pp. 237-250

Hua, S. Y. and W. Urban (2006). Product Change Intensity, Product Advantage, and Market Performance: An Empirical Investigation of the PC Industry. The Journal of Product Innovation Management, Vol. 23, pp. 316-329.

Huselid, M. (1995). The Impact of Human Resource Management Practices on Turnover, Productivity, and Corporate Financial Performance. Academy of Management Journal, Vol. 38, pp. 635-672.

Kawakami M. (2007). Competing for Complementarity: Growth of Taiwanese Notebook PC Manufacturers as ODM Suppliers. Competition and Cooperation among Asian Enterprises in China.

Kawakami, M. (2008). Exploiting the Modularity of Value Chains: Inter-firm Dynamics of the Taiwanese Notebook PC Industry. IDE DISCUSSION PAPER, No. 146.

Lewin, A. Y. and J. W. Minton (1986). Determining Organizational Effectiveness: Another Look, And An Agenda For Research. MANAGEMENT SCIENCE, Vol. 32, pp. 514-538.

Liu, F. F. and P. H. Wang (2008), “DEA Malmquist productivity measure: Taiwanese semiconductor companies. International Journal of Production Economics, Vol. 112, pp. 367-379.

Miller. D.(1982). The Correlated of entrepreneurship in three types of firm. Management Science, Vol. 29, Jan, pp. 770-791

Pareto, V. (1927). Manuel d’Economic Politique, 2nd ed. Girard Paries.
Szilagyi, A. D.(1984). Management and Performance,(2nd ed.).Englewood Cliffs, New Jersey:Scott Foresman and Company,31.

Thore, S., G. Kozmetsky and F. Phillips (1994). DEA of Financial Statements Data: The U.S. Computer Industry. The Journal of Productivity Analysis, Vol. 5, pp. 229-248.

Thore, S., F. Phillips, T. W. Ruefli and P. Yue (1996). DEA AND THE MANAGEMENT OF THE PRODUCT CYCLE: THE U.S. COMPUTER INDUSTRY. Computers Ops Res, Vol. 23, pp. 341-356.

Thore, S (1996). Economies of scale in the US computer industry: An empirical investigation using data Envelopment Analysis. Joumal of Evolutionary Economics, Vol. 6, pp. 199-216.

Wang, S.T. and C. M. Liu (2008). A postponement model to determine the customisation degree applied to the notebook computer industry. International Journal of Production Research, Vol. 1, pp. 1-25.

Venkatraman, V Ramanujam(1986). Massachusetts Institute of Technology VASUDEVAN RAMANUJAM Case Western Reserve University. Academy of management Review- jstor.org Page 1. ?

Yen, Q. J. (1996). The Application of Data Envelopment Analysis in Conjunction with Financial Ratios for Bank Performance Evaluation. Journal of the Operational Research Society, Vol. 47, pp. 980-988.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top