DOI QR코드

DOI QR Code

수정된 Kano 모델을 이용한 프로젝트의 위험요인 연구

Analysis of the Project Risk Factors Using Modified Kano Model

  • 장덕재 (성균관대학교 기술경영대학원) ;
  • 송해근 (성균관대학교 시스템경영공학과) ;
  • 박영택 (성균관대학교 기술경영대학원)
  • Jang, Deok-Jae (Graduate School of Management of Technology, Sungkyunkwan University) ;
  • Song, HaeGeun (Department of Systems Management Engineering, Sungkyunkwan University) ;
  • Park, Young T. (Graduate School of Management of Technology, Sungkyunkwan University)
  • 투고 : 2013.03.21
  • 심사 : 2013.04.22
  • 발행 : 2013.06.30

초록

Purpose: This paper examines risk factors which affect project success, and proposes a method utilizing the average potential satisfaction index(API) to evaluate how much the satisfaction level of the personnel involved in the project can change by reducing the risk. Methods: The current study derives 11 risk factors affecting project success from literature review and conducts survey of 253 subjects who have project work experience. A modified Kano's questionnaire using 5-point Likert-scale is applied to investigate the amount of satisfaction or dissatisfaction when the risk factors are reducted or not, respectively. Results: The respondents consider that the risk factors which include the three elements of project management(schedule, quality, cost) is more important than other risk factors related to the project environment, and technology and profitability. Conclusion: The average potential satisfaction index proposed in this study can measure the perception on the risk factors of the personnel involved in the project, since it has a strong correlation with the perceived importance by the respondents in this study.

키워드

참고문헌

  1. Atkinson RW. 1999. "Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria." International Journal of Project Management 17(6):337-342. https://doi.org/10.1016/S0263-7863(98)00069-6
  2. Barki, H., Rivard, S., and Talbot, J. 2001. "An integrative contingency model of software project risk management." Journal of Management Information Systems 17(4):37-69. https://doi.org/10.1080/07421222.2001.11045666
  3. Bell, T. E. 1989. "Managing Murphy's law : engineering a minimum-risk system." IEEE Spectrum 26(6):24-27.
  4. Berger, C., Blauth, R., Boger, D., Bolster, C., Burchill, G., DuMouchel, W., Pouliot, F., Richter, R., Rubinoff, A., Shen, D., Timko, M., and Walden, D. 1993. "Kano's methods for understanding customer-defined quality." Center for Quality of Management Journal 2(4):2-36.
  5. Boehm, B. 1989. Software Risk Management Tutorial. Washington, DC: IEEE Computer Society Press.
  6. Cadotte, E. R., and Turgeon, N. 1988. "Dissatisfiers and Satisfiers: Suggestions from Consumer Complaints and Compliments." Journal of Consumer Satisfaction, Dissatisfaction, and Complaining Behavior 1:74-79.
  7. Cooke-Davies, T. 2002. "The "real" success factors on projects." International Journal of Project Management 20(3):185-190. https://doi.org/10.1016/S0263-7863(01)00067-9
  8. Gauld, R. 2007. "Public sector information system project failure: Lessons from a New Zealand hosptial organization." Government Information Quarterly 24:102-114. https://doi.org/10.1016/j.giq.2006.02.010
  9. Grey, S. 1995. Practical risk assessment for project management. John Wiley & Sons.
  10. Jang, H. Y., Song, H. G., and Park, Y-T. 2012. "Determining the importance values of quality attributes using ASC." Journal of Korean Society of Quality Management 40(4):589-598. https://doi.org/10.7469/JKSQM.2012.40.4.589
  11. Kano, N., Seraku, N., Takahashi, F., and Tsjui, S. 1984. "Attractive quality and must-be quality." Hinshitsu, 14(2):67-82:147-156.
  12. Kerzner, H. 1989. Project management: a system approach to planning scheduling and controlling. 3rd Ed. New York: Van Nostrand Reinhold.
  13. Lee, M., and Newcomb, J. 1996. "Applying the Kano methodology in managing NASA's science research program." Center for Quality and Management Journal 5(3):13-20.
  14. Lim, S. U., and Park, Y. T. 2010. "Potential customer satisfaction improvement index based on Kano model." Journal of the Korean Society for Quality Management 38(2):248-260.
  15. Lofgren, M., and Witell, L. 2008. "Two decades of using Kano's theory of attractive quality: a literature review." Quality Management Journal 15(1):59-75.
  16. Lucas, H. 1999. Information Technology and the Productivity Paradox. New York: Oxford University Press.
  17. Munns, A. K., and Bjeirmi, B. F. 1996. "The role of project management in achieving project success." International Journal of Project Management 14(2):81-87. https://doi.org/10.1016/0263-7863(95)00057-7
  18. Peter, E. D. Love, Zahir Irani, Craig Standing, ChadLin, and Janice, M. Burn. December 2004. "The egnima of evaluation: benefits, costs and risks of IT in Australian small-medium-sized enterprises." Information & Management.
  19. Porter, M. E. 2007. "Towards a dynamic theory of strategy." Strategic management journal 12(S2) Winter 2001:95-107.
  20. Sauer, C., Gemino, A., and Reich, B. H. 2007. "The IMPACT of SIZE and VOLATILITY ON IT PROJECT PERFORMANCE." Communications of the ACM 5(11):79-84. November.
  21. Schmidt, R., Lyytinen, K., Kail, M., and Cule, P. 2001. "Identifying software project risks: An international Delphi study." Journal of Management Information Systems 17(4):5-36. https://doi.org/10.1080/07421222.2001.11045662
  22. Song, H. G. 2013. "A B-W model for managing quality attributes." Ph.D. Dissertation, Sungkyunkwan University.
  23. Song, H. G., and Park, Y. T. 2012. "Wordings of the Kano model's questionnaire." Journal of Korean Society of Quality Management 40(4):453-466. https://doi.org/10.7469/JKSQM.2012.40.4.453
  24. Thomas, G., and Fernandez, W. 2008. "Success in IT projects: a matter of definition?" International Journal of Project Management 26(7):33-42.
  25. Thompson, R. L., Smith, H. J., and Iacovou, C. L. 2007. "The linkage between reporting quality"
  26. Wang, S. Q., Tiong, R. L. K., Ting, S. K., and Ashley, D. 2000. "Evaluation and management of political risks in China's BOT projects." Journal of Construction Engineering and Management 126(3):242-250. https://doi.org/10.1061/(ASCE)0733-9364(2000)126:3(242)
  27. Wateridge, J. 1997. "How can IS/IT Projects be measured for success." International Journal of Project Management 16(1):59-63.
  28. Wideman, R. M. September 1986. "Management." Project Management Journal 17(4):20-26.
  29. Wit, A. D. 1988. "Measurement of project success." International Journal of Project Management 6(3):164-170. https://doi.org/10.1016/0263-7863(88)90043-9
  30. Zmud, RW. 1979. "Individual differences and MIS success: a review of the empirical literature." Management Science 25(10):966-979. https://doi.org/10.1287/mnsc.25.10.966