International Journal of Quality Innovation

  • 제8권3호
  • /
  • Pages.156-172
  • /
  • 2007
  • /
  • 1598-2688(pISSN)
  • /
  • 2363-7021(eISSN)
한국품질경영학회 (Korean Society for Quality Management)
권호 표지

Using Analytic Network Process to Establish Performance Evaluation Indicators for the R&D Management Department in Taiwan's High-tech Industry

  • Liu, Pang-Lo (Department of Industrial Engineering and Management Ta-Hwa Institute of Technology) ;
  • Tsai, Chih-Hung (Department of Industrial Engineering and Management Ta-Hwa Institute of Technology)
  • 발행 : 2007.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The high-tech industry is the economic lifeline for Taiwan. Its characteristics are short product life cycle, rapid changes in the market, and a high obsolescence rate for new products. Under globalization, the high-tech industry has adopted Information Technology (IT) to shorten the manufacturing process, reduce costs and conduct product research and development (R&D) to increase the core competence of enterprises and achieve the goal of sustainable operations. Enterprises should actively strengthen their integration with internal and external resources and lead in R&D management to increase industrial operating performance. Effectively managing operations and R&D management evaluation in Taiwan's High-tech Industry has become a critical subject. This study adopted 4 major Balanced Scorecard (BSC) perspectives to establish the Total Performance Evaluation Indicators for the R&D management department in Taiwan's High-tech Industry. The Analytic Network Process (ANP) was applied to evaluate the overall performance of the R&D management department. The research framework is divided into 2 phases. The first phase is combined with the 4 major perspectives, Financial, Customer, Internal Business Process and Learning and Growth, as the related indicators for each measurement perspective. The Key Performance Indicators (KPI) were selected using Factor Analysis to identify the key factor from the complicated indicators. The relationship between the characteristics of each BSC's evaluation perspective is dependence and feedback. This study applied ANP to conduct the calculation and adjustment of correlation between each KPI, and determine on their relative weights for the objective KPI. The "Financial Perspective" for R&D management department in Taiwan's High-tech Industry focused on the budget achievement rate of R&D management. The weight indicator value is (0.05863). The "Customer Perspective" focused on problem-solving satisfaction. The weight value of this indicator is (0.17549). The "Internal Business Process Perspective" focused on the quantity and quality of R&D. The weight value of this indicator is (0.13506). The "Learning and Growth Perspective" focused on improving competence in the research personnel's professional techniques. The weight value of this indicator is (0.02789). From the total weighting indicators, the order of the Performance Indicators for the R&D management department in Taiwan's High-tech Industry is: (1) Customer Perspective; (2) Internal Business Process Perspective; (3) Financial Perspective; and (4) Learning and Growth Perspective.

키워드

참고문헌

  1. Bleicher, F. and Paul, H.(1983), 'Managerial Framework for Innovation Responses in High-Tech Organization,' Business Horizons, pp. 69-78
  2. Brewer, P., T. Albright and Davis, S.(2004), 'Security Regional Bank: Implementing a Balanced Scorecard Using the business modeling approach,' The Journal of Corporate Accounting & Finance, Vol. 15, No.5, pp. 73-83
  3. Chakrabarti, A. K.(1991), 'Industry Characteristic Influencing the Technical Output: A Case of Small and Medium Size Firms in The US,' R&D Management, Vol. 21, No.2, pp. 139-152 https://doi.org/10.1111/j.1467-9310.1991.tb00743.x
  4. Chakravarthy, B.(1986), 'Measuring Strategic Performance,' Strategic Management Journal, Vol. 7, No.5, pp. 437-458 https://doi.org/10.1002/smj.4250070505
  5. Chiu, C. B.(2002), 'The Management of Fabrication Plant Building up for TFT-LCD and IC Industry,' the Master Thesis of National Chiao-Tung University, Taiwan
  6. Chow, W. C. and Haddad, M.(1997), 'Applying the balance scorecard to small companies,' Management Accounting (August), pp. 21-27
  7. Clausing, D. P.(1994), 'Total Quality Development,' Mechanical Engineering, Vol. 116, No. 3, pp. 94-98
  8. Cusumano, M. A. and Nobeaka, K.(1992), 'Strategy, Structure and Performance in Product Development: Observation from the Auto Industry,' Research Policy, Vol. 21, No. 23, pp. 265-293 https://doi.org/10.1016/0048-7333(92)90020-5
  9. De Brentani, U.(1989), 'Success and Failure in New York Industrial Services,' Journal of Product Innovation Management, Vol. 6, No.4, pp. 239-258 https://doi.org/10.1016/0737-6782(89)90077-5
  10. DeMott, J. S.(1990), 'Company Alliances for Market Muscle,' Nation's Business, Vol. 82, No.2, pp. 52-56
  11. Ellis, L. W. and Curtis, C. C.(1995), 'Measuring Customer Satisfaction,' Research Technology Management, Vol. 38, No.5, pp. 45-51
  12. Fortuin, Leonard.(1988), 'Performance Indicators-Why, Where and How,' European Journal of Operational Research, Vol. 34, pp. 1-9 https://doi.org/10.1016/0377-2217(88)90449-3
  13. Gould, A. and Keeble, D.(1984), ''New Firms and Rural Industrialization in East Anglia,' Regional Studies, Vol. 18, No.3, pp. 189-201 https://doi.org/10.1080/09595238400185191
  14. Kamath, R. R., Liker, J. K.(1994), 'A Second Look at Japanese Product Development,' Harvard Business Review, Vol. 72, No.6, pp. 154-164
  15. Kaplan, R. S. and Norton, D. P.(1996), 'Using the Balanced Scorecard as a Strategic Management System,' Harvard Business Review, Vol. 74, No. 1, pp. 75-85
  16. Karagozoglu, N. and Brown, W. B.(1993), 'Time-base Management of the New Product Development Process,' Journal of Product Innovation Management, Vol. 10, No.3, pp. 204-215 https://doi.org/10.1016/0737-6782(93)90026-M
  17. Kaufman, Roger.(1988), 'Preparing Useful Performance Indicators,' Training & Development (September), p. 80
  18. Lin, Y. S., C. C. Chiu and Tsai, C. H.(2008), 'The Study of Applying ANP Model to Assess Dispatching Rules for Wafer Fabrication,' Expert Systems with Applications, Vol. 35, No.4
  19. Mabert, V. A., Muth, J. F. and Schmenner, R. W.(1992), 'Collapsing New Product Development Time: Six Case Studies,' Journal of product Innovation Management, September, Vol. 9, No.3, pp. 200-212 https://doi.org/10.1016/0737-6782(92)90030-G
  20. Millett, S. M.(1990), 'The Strategic Management of Technological R&D: An Ideal Process for the 1990s,' International Journal of Technology Management, Vol. 5, No.2, pp. 153-163
  21. Nunnally, J. C.(1978), 'Psychometric theory (2nd ed.),' New York, McGraw-Hill
  22. Rosenau, M. J.(1998), 'A Suddenly the Inventor Appeared: TRIZ, the Theory of Inventive Problem /solving (Second Edition)/The Science of Innovation: A Managerial Overview of the TRIZ Methodology,' The Journal of Product Innovation Management, Vol. 15, No.1, pp. 100-103
  23. Saaty, T. L.(1977), 'A Scaling Method for Priorities in the Hierarchical Structures,' Journal of Mathematical Psychology, Vol. 15, pp. 234-281 https://doi.org/10.1016/0022-2496(77)90033-5
  24. Saaty, T. L.(1980a), 'The Analytic Hierarchy Process,' McGraw-Hill Companies, New York
  25. Saaty, T. L.(1980b), 'The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation,' McGraw-Hill, New York
  26. Saaty T. L.(1996), 'Decision Making with Dependence and Feedback- The Analytic Network Process,' RWS Publication
  27. Saaty, T. L.(2001). 'The Analytic Network Process,' RWS Publication
  28. Shanklin, W. L. and Ryans, K. J.(1984), 'Organizing for High-Tech marketing,' Harvard Business Review, Vol. 62, No.6, pp. 164-171
  29. Van de Ven, Andrew H. and Diane L. Ferry, 1980. 'Measuring and Assessing Organizations,' N. Y.: John Wiley & Sons
  30. Venkatraman, N. and Ramanujam, V.(1986), 'Measurement of Business Performance on Strategy Research: A Comparison of Approach,' Academy of Management Review, Vol. 11, No.4, pp. 801-814 https://doi.org/10.2307/258398
  31. Youssef, M. A.(1994), 'Design for Manufacturability and Time-to-market,' International Journal of Operations & Production Management, Vol. 14, No. 12, pp. 6-12