Title page for etd-0729108-202150


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URN etd-0729108-202150
Author Chun Chu
Author's Email Address No Public.
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Department Human Resource Management
Year 2007
Semester 2
Degree Master
Type of Document
Language English
Title Research on Performance Measurement for the R&D Department
Date of Defense 2008-06-09
Page Count 122
Keyword
  • R&D performance measurement
  • Analytic Hierarchy Process (AHP)
  • Abstract Toady, the rapid changes in business environment of shortened product life cycles and advanced technology, drew the attention upon research and developmentā€™s (R&D) contribution to competitive advantage. As a result, valuing the performance of R&D has become exceedingly important. This study established a general framework of R&D performance measurements by reviewing and organizing literatures and researches on R&D performance, along with giving an insight on what are the most valued measurements with applying the Analytic Hierarchy Process (AHP) method.
       The questionnaire which developed from AHP was filled by senior managers of R&D. Valuing from industry and R&D function perspective, we had the results of four similar core R&D performance measurements of Customer Satisfaction, Technology commercialized, Market Share, and Technical achievement. However, the individual ranking from these perspectives, are quite different. In the sense of high-technology and traditional industry, having the same top five measurements of Customer Satisfaction, Market Share, Technical achievement, Technology commercialized, and Profitability, the ranking for each industry is differ. As for new product development (NPD) and process improving function, having the same four out of five core R&D performance measurements of Customer Satisfaction, Market Share, Access to New Market, and Technology commercialized, the ranking for each function is differ.
       The results for priorities and weights of each R&D performance measurements, are not only giving an insight on the most preferred measurements, but also when coming for measuring performance, the weights upon the measurements should be considered for more accuracy in performance evaluation. Also the indifference of core measurements for differ industries or R&D functions, which indicates when establishing performance measurement in practice, there can be same measurements; however there should be different ways upon valuing, since the priority for them are different.
    Advisory Committee
  • Liang-Chih Huang - chair
  • Shyh-jer Chen - co-chair
  • Shu-Ling Wu - advisor
  • Jin Feng Uen - advisor
  • Files
  • etd-0729108-202150.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2008-07-29

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