以資料包絡分析法實證台灣保健食品產業經營績效之研究

NHUIR > College of Management > Department of Business Administration, Master/Ph.D Program in Management Sciences > Disserations and Theses(Master and Doctoral Program in Management Sciences) > Item 987654321/17420

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Title:	以資料包絡分析法實證台灣保健食品產業經營績效之研究
Other Titles:	THE EMPIRICAL STUDY OF OPERATING PERFORMANCE OF THE HEALTH FOOD INDUSTRY IN TAIWAN USING DATA ENVELOPMENT ANALYSIS
Authors:	林惠民 Lin, Hui-min
Contributors:	企業管理系管理科學碩博士班郭東昇 Tung-sheng Kuo
Keywords:	保健食品;經營績效;資料包絡分析法 Functional Health Food;Business Effectiveness;Data Envelopment Analysis (DEA)
Date:	2013
Issue Date:	2014-12-23 10:47:11 (UTC+8)
Abstract:	保健食品產業為二十一世紀新興產業，然而保健食品產業的營運，卻常面對風險的不確定性，為使廠商在時間變動過程能持續爭取競爭優勢或產業競爭力，更須使投入資源與產出有效利用獲取效益，該效益的提升，通常源於技術與資源有效的使用所促成，因此探討保健食品產業的經營績效均成為本文研究之重要課題。　　　資料包絡分析法(Data Envelopment Analysis, DEA)通常被應用在非營利事業上，近年來始有學者將資料包絡分析法應用於營利性的產業探討其管理績效之效率，並運用麥氏生產力指數分析效率問題，以作為改善績效之參考。　　　本研究從管理者可控制投入項資源的角度，即以投入導向觀點採用CCR/BCC 之DEA 模式。選定研究費用、健康食品認證件數、固定資產、營業成本等四個變數作為投入項，以營業淨利及營業收入為產出項；比較受評單位在98~101年期間相對效率之差異。比較相關廠商之平均相對效率、廠商規模大小對其經營效率之影響，並根據其分析結果，提出未來經營發展之參考。　　Functional Health Food Does Provide a Rather High Return on Investment, Yet Because of Its Short Product Lifecycle, This Product Has Fast Replacement and Intense Price Competition, While a Large Amount of Research and Development and Manpower Expenses Must Also be Input. Therefore, The Direction of our Research is to Find Ways to Reduce Cost, Pursue Growth, and Increase Profit in This Industry.　　　The Data Envelopment Analysis (DEA) Method is Usually Applied in Non-profit Enterprises, But Scholars Have Also Recently Started to Apply DEA in For-profit Businesses to Explore The Efficiency of Management Effectiveness, While The Malmquist Productivity Index has Also Been Used to Analyze Problems With Efficiency and as a Reference For Improving Effectiveness.　　　We Approached This Study From The Perspective of The Input of Resources Controllable by Business Managers, Meaning That We Used The CCR/BCC DEA Models With Input as Our Guiding Factor. We Used The CCR Model to Compute The Overall Technical Efficiency of Various Decision-Making Units (DMUs) and Combined it With The BCC Model to ComputeThe Pure Technical Efficiency and The Scale Efficiency. With The Three Variables of Research Expenses, Fixed Assets, and OperatTing Cost as The Inputs and With Business Revenue as The Output, We Compared The Differences of Relative Efficiency of Eight DMUs From 98 to 101. We Compared The Average Relative Efficiency of Emerging and Traditional Biotech Related Companies and Analyzed The Influence of Research Expenses and Company Scale on Biotech Company Business Efficiency. Finally, Based on The Results of This Analysis, We Proposed a Viewpoint That Can Be Used as a Reference for Future Business Development.
Appears in Collections:	[Department of Business Administration, Master/Ph.D Program in Management Sciences] Disserations and Theses(Master and Doctoral Program in Management Sciences)

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