智慧資本衡量方法對封測廠經營績效評估之影響: 使用DEA-BSC方法

The Effect of Measuring Methods on Performance Evaluation of IC Assembly & Testing Firms in Taiwan︰ Using Integrated DEA-BSC Approach

黃琬筠(Wan-Yun Huang)

指導教授 ： 吳植森

崑山科技大學/資訊科技學院/資訊管理研究所/碩士(2010年)

https://doi.org/10.6828/KSU.2010.00086

摘要

資料包絡分析法(Data envelopment analysis, DEA)使用投入與產出資訊以線性規劃方法評比決策單位之績效，為一種比較客觀之衡量工具。研發為高科技產業最重要的活動之一，DEA已經應用各種不同的構面來評估高科技產業之經營績效，在這些應用中最主要之議題是如何將智慧資本跟績效評估連結在一起，不當的衡量方式會導致研發活動越多，績效評估越差之不合理的結果，因此本研究進行探討智慧資本對經營績效之影響。本論文使用三種衡量方式，包括會計盈餘模式、MV/BV和Tobin’s Q來衡量無形資產計算其相對指標。
本研究使用平衡計分卡四個構面以及三個無形資產衡量指標建立多種模型，研究兩個結果顯示，首先使用三年IC封測廠之資料在不同無形資產指標下，每年之經營績效，結果顯示MV/BV與Tobin’s Q對研發活動較高之高科技產業有較好的評比，其次本研究使用MPI、TFPC和TE三個指標，將12間公司之經營績效進行分類，根據此分類結果可以做出經營績效之改善方向。

關鍵字

資料包絡分析法 ； 麥氏生產力指數 ； 經營績效 ； 規模效率

並列摘要

Data envelopment analysis (DEA) is an objective method for rating the efficiency of a group of decision making units by using linear programming, input and output information. Research and development (R&D) is one of the most import activities in high-tech industries. DEA has been applied to evaluate operations efficiency of high-tech firms from various perspectives. The major issue in DEA applications is dealing with how to relate intellectual capital to performance ranking. Inadequate measure may lead to unreasonable result that poor ranking goes to the company with extensive R&D activity. Therefore, a study on the effect of measuring methods in DEA is conducted. Three approaches, MV/BV, Tobin’s Q, and accounting based valuation of corporate R&D, for measuring intellectual capital are applied to the calculation of the intangible asset indicators.
In this study the models of DEA are constructed by using the four perspectives of balanced scorecard (BSC) and the three intangible asset indicators. Two major findings are presented. First, we take three years data of IC assembly & testing firms in Taiwan to measure the performance for each year under the three different intangible asset indicators. Results show that the MV / BV and Tobin's Q methods to measure the performance is favorable to high-tech industries in ranking. Second, by adopting MPI (Malmquist Productivity Index), Total Factor Productivity Change, TFPC) and TE (technical efficiency), 12 companies can be classified by operations performance, and suggestions for business improvement can be easily made based on the classification.

並列關鍵字

DEA ； MPI ； Performance Evaluation ； SE

參考文獻

[10]陳振遠、王朝仕、徐如萍，“會計資訊、公司治理特性與企業評價之攸關性”，會計與公司治理，第5卷，第2期，2008年，第79-108頁。

[11]顏信輝、顏裕芳，“無形資產與台灣股票評價攸關性之研究-股市週期與產業別之影響”，當代會計，第3卷，第2期，2002年，第121-147頁。

[17]馮秀鳳，“半導體產業經營效率之研究─資料包絡分析法之應用”，碩士論文，中原大學，2002。

[1]高強、黃旭男、Toshiyuki Sueyoshi，管理績效評估－資料包絡分析方法，華泰出版，台北，2003。

[3]Tobin, J., “Notes on Optimal Monetary Growth”, Journal of Political Economy, 76, July-August, 1968b, pp. 833-59.