Summary: | 碩士 === 東吳大學 === EMBA高階經營碩士在職專班 === 98 === This study adopted Data Envelopment Analysis (DEA) approach Two-Stage Model and BCG Matrix to evaluate the operation performance of 38 listed & OTC domestic software industry corporations from 2007 to 2008. To illustrate the difference of performance with relative operating financial data as two stage input and output variables for finding out the character of benchmark companies and the issues of improvement of non-benchmark companies between study case.
The first stage explored the input factors of production efficiency and the output factors which were the operation goals of corporation especially emphasized the importance of R&D on patent output. The study selected input items including R&D investment, number of employees, assets; output items including counts of patent, net sales. While the second stage researched market efficiency to analyze expected value of companies from market. To select input items including the output items of first stage: counts of patent, net sales; output items including net worth per share, market value. To sum up the empirical results from 2007 to 2008, CyberLink and SYSTEX Corporation won the title of Star Firm for two years, IGS, USERJOY and Soft-World were representative game software company of Otaku Economy, also be included in Star or Cow Firm.
The research concluded the operation performance of the software industry have diverse operation strategy and execution efficiency. Through Two-Stage DEA approach could compare production efficiency of software industry on sales and patent indeed and find out input-output conversion efficiency, as to the market value probably not has same performance. This study used Two-Stage DEA and BCG Matrix figured out that the marketing policy in Taurus should be a potential way of business policy, compared to corporation of high execution efficiency and low market share. Since only have CyberLink and SYSTEX Corporation won the title of Star Firm, indicated that software industry should improve on market value and production efficiency.
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