Applying DEA Model and Malmquist Productivity Index to Explore the Pros and Cons of Strategic Alliance Classification: From the Perspective of Strategic Alliance Performance

• Main Authors: Bo-Hsuan Liu, 劉栢亘
• Other Authors: Chu-Ching Wang
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/2ch24z

碩士 === 淡江大學 === 企業管理學系碩士班 === 106 === In this dynamic competitive market, enterprises must face an unstable and challenging environment. In order to reduce costs, spread risks and increase profits, enterprises have to solve the difficulties, such as unfavorable of production, shortage of human resources, shortage of funds or lack of technologies. In the past, enterprises chose strategies such as license, direct investment, mergers and acquisitions, joint ventures or strategic alliances, among which strategic alliances were most favored by enterprises. By choosing performance as a topic to discuss cases of strategic alliances in the past and with the cannikin law as the starting point.This study try to figure out the possible difficulties faced by the four industries, like the software industry, the computer and peripheral equipment industry, the communications industry and the electronics industry. The data included the contracts from 2006 to 2015 that the enterprises signed with "Strategic Alliance" which collected from the SDC database. In order to figure out the changes in performance after signing the strategic alliances, this study divided the data into three kinds of time points: “before signing”, “half year after signing” and “one year after signing”, and selecting the output model in the analysis method. First, comparing the single-phase performance of each decision making unit (DMU), which included technical efficiency, pure technical efficiency, and scale efficiency. Then, figuring out the technical efficiency changes and the pure technical efficiency changes of each DMU were analyzed. At last, using the Malmquist Productivity Index to analyze the data and the geometrical average. The results are then used as a basis for comparing the pros and cons of the strategic alliance classification.