DOI QR코드

DOI QR Code

The Effect of PMIS Quality on Project Management Success

PMIS의 품질이 프로젝트관리의 성공에 미치는 영향 분석

  • Received : 2010.11.09
  • Accepted : 2010.12.05
  • Published : 2010.12.20

Abstract

As one of the key IT applications, the project management information system (PMIS) has played a significant role in construction management processes. This is because PMIS is an information system that gathers, integrates, and disseminates the output of project management processes among project participants, and is used to support all aspects of a project, from initiation through closing. This paper aims to identify the CSFs(Critical Success Factor) of Project Management and quality associated with Project Management Information System (PMIS) in construction projects, to analyze the Effect of PMIS quality on Project Management Success. The CSFs of Project Management and the quality components for PMIS are identified through a review of the literature, and consolidated through interviews with professionals in the construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor), and 253 completed questionnaires were retrieved. To increase the applicability of the results, the respondents consisted of workers spread across various parts of the construction site. Using SPSS 12.0, the data was used to analyze the relationship between PMIS Quality and Project Management Success through multiple regression analysis. These findings help to clarify what the highly prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

건설 PMIS(Project Management Information System, 이하 PMIS)는 과거의 업무보조 수단에서 벗어나 프로젝트의 성공을 위한 필수적인 도구 중의 하나로 인식되고 있다. 하지만 정보관리시스템 구축 목표와 전략 부재로 인해 투자비 규모 설정은 물론 파급영향에 대한 기대감 상실로 정보화 노력이 일시적 현상에 그치고 있다. 이는 정보화 투자 대비 효과에 대한 검증이 부족하여 정보화를 추진하는데 있어 동기 부여가 되지 못하기 때문이다. 따라서 본 연구에서는 PMIS의 품질요인과 프로젝트 관리의 성공 간에 영향관계를 파악하는 것이 목적이다. 건설 프로젝트 관리의 성공요인, 정보시스템 품질평가 및 성공모델 도출에 대한 기존 문헌고찰을 통해 프로젝트관리의 성공과 PMIS의 품질을 측정하기 위한 평가항목을 구성하였으며 실제 PMIS의 사용자인 시공사, 사업관리자(Construction Manager, 이하 CM)를 대상으로 설문조사를 실시하였다. 이렇게 수집된 자료들로 통계프로그램인 SPSS 12.0을 활용하여 다중회귀분석을 통해 건설 사업에서 PMIS의 품질요인과 프로젝트 관리의 성공간의 영향관계를 분석하고 시사점을 도출하였다.

Keywords

References

  1. Kim YS, Yoon JH, Jin SY. Yoon SW. A Survey of the Satisfaction Level of Construction Information System From Users' Viewpoints On Construction Site, Journal of Construction Engineering and Management 2006;7(4):126-136.
  2. Moon JH, Song BG. PMIS Solutions in the Korean Construction Industry, Korea Institute of Construction Technology; 2003.
  3. Park HG. Study on Development and Application case of Web-based Project information management System in SOC project, KSCE Journal of Civil Engineering 2005;25(2):297-304.
  4. DeLone WH. McLean ER, Information system success: The Quest for the Dependent Variable. information systems research 1992;3(1):60-95. https://doi.org/10.1287/isre.3.1.60
  5. DeLone WH, McLean ER, The Delone and McLean Model of Information system success: A ten-year update" Journal of Management information systems 2003;19(4):9-30. https://doi.org/10.1080/07421222.2003.11045748
  6. Jung YS, Jung CH. An Empirical Analysis on the Success Factors of ASP Services, Information System Research 2005;14(2):25-53.
  7. Kim G. A Scale Development for Measuring User Satisfaction with GKMS, Journal of the korea Association for Policy Analysis and Evaluation 2007;17(4):117-148.
  8. Kim JG. Exploring the Success Factors of ASP based Information System: From the Perspective of Two Factor Theory, e-Business Research 2007; 8(1):21-35.
  9. Park JH, Kim JG, Kim JW. Lee HS. Deriving an ASP Success Model: An Application to Small Business, Business Information Research 2004;14(1):43-58
  10. Jeo MH, Lee CK. An Empirical Analysis on Success Factor and Success Model of Information System: Focus on a local government. Journal of Korea Administration 1997;31(1):145-162.
  11. Han YC, Lim ST. An Empirical Study on Evaluating Effectiveness of Information System, Journal of management Research 1997;12(1):257-288.
  12. Bernroider EWN. IT governance for enterprise resource planning supported by the DeLone–McLean model of information systems success, Information & Management 2008;45(5):257-269. https://doi.org/10.1016/j.im.2007.11.004
  13. Chang L, Kirk PA. Exploring the factors associated with Web site success in the context of electronic commerce. Information & Management 2000;38(1):23-33. https://doi.org/10.1016/S0378-7206(00)00049-5
  14. Swanson EB. Management information system, Appreciation and involvement" Management Science 1974;21(2):178-188. https://doi.org/10.1287/mnsc.21.2.178
  15. Zmud RW. Individual differences and MIS success: a review of the empirical literature. Management Science 1979;25(10):966-979. https://doi.org/10.1287/mnsc.25.10.966
  16. Ballou DP, Pazer HL. Cost/quality tradeoffs for control procedures in information systems, Omega 1987;15(6):509-521. https://doi.org/10.1016/0305-0483(87)90009-0
  17. Parasuraman A, Zeithaml VA, Berry LL, SERVQUAL: A multi-item scale for measuring consumer perceptions of sesrvice quality, Journal of Retailing 1998;64(1):13-30.
  18. Munns AK. Bjeirmi BF. The role of project management in achieving project success. International Journal of Project Management 1996;14(2):81-87. https://doi.org/10.1016/0263-7863(95)00057-7
  19. Baccarini D. The logical framework method for defining project success. Project Management Journal 1999;30(4):25-32.
  20. Khang DB, Moe TL. Success Criteria and Factors for International Development Project: A Life-Cycle-Based Framework. Project Management Journal 2008;39(1):72-84. https://doi.org/10.1002/pmj.20034
  21. Pinkerton WJ. Project management: achieving project bottom-line success. New York; McGraw-Hill; 2003.
  22. Pinto JK, Slevin DP. Critical Success Factors in Effective Project Implementation. IEEE Transactions on Engineering Management 1988;34(1):22-27.
  23. Ashley DB, Laurie CS, Jaselskis EJ. Determinants of construction project success. Project Management Journal 1987;18(2):69-79.
  24. Wit AD. Measurement of project success. Project Management Journal 1988;6(3):164-170. https://doi.org/10.1016/0263-7863(88)90043-9
  25. Belassi W, Tukel OI. A new framework for determining critical success/failure factors in projects. International Journal of Project Management 1996;14(3):141-151. https://doi.org/10.1016/0263-7863(95)00064-X
  26. Chua DKH, Kog YC, Loh PK. Critical Success Factors for Different project Objective. Journal of Construction Engineering and management 1999;125(3):142-150. https://doi.org/10.1061/(ASCE)0733-9364(1999)125:3(142)
  27. Chan APC, Scott D, Chan APL. Factors Affecting the Success of a Construction Project. Journal of Construction Engineering and management 2004;130(1):153-155. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(153)
  28. Ling FYY, Liu M. Using neural network to predict performance of design-build project in Singapore, Journal of Building and Environment 2004;39(10):1263-1274. https://doi.org/10.1016/j.buildenv.2004.02.008
  29. Fortune J, White D. Framing of project critical success factors by a systems model. International Journal of Project Management 2006;24(1): 53-65. https://doi.org/10.1016/j.ijproman.2005.07.004
  30. Yu ATW, Qiping S, John K, Kirsty H. Investigation of Critical Success Factors in Construction Project Briefing by Way of Content Analysis. Journal of Construction Engineering and management 2006;132(11):1178-1186. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:11(1178)
  31. Lam EWM, Chan APC, Chan DWM. Determinants of Successful Design-Build Project. Journal of Construction Engineering and management 2008;134(5):.333-341. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:5(333)
  32. Saqib M, Farooqui RU, Lodi SH. Assessment Critical Success Factors for Construction Projects in Pakistan. First International Conference on Construction in Developing Countries (ICCIDC-I-2008) 2008;392-404.
  33. Lee CJ, Kim SK, Kim JJ. The Deduction of the Success Factor in Construction Projects by Design Build Methods. Journal of Construction Engineering and Management 2007;8(5):182-190.
  34. Hyeon CT, Jeo GM. Key Success Factors for the Fast-Track in Public Design-Build Project. Journal of Architectural Institute of Korea 2007;23(1):129-136.
  35. Yu IH, Kim KR, Wung YS, Chin SY. Analysis of Quantified Characteristics of the Performance Indicators for Construction Companies. Journal of Construction Engineering and Management 2006;7(4):154-164.
  36. Belsley DA, Kuh E, Welsch RE. Regression Diagnostics: Identifying Influential Data And Source of collinearity. John Wiley and Sons; 1980.
  37. Nunnally JC, Bernstein IH. Psychometric Theory. New York: McGraw-Hill; 1994.

Cited by

  1. Wiki-Based Expert Knowledge Collaboration Effects on Performance of Project Members vol.12, pp.1, 2013, https://doi.org/10.9716/KITS.2013.12.1.173
  2. Development of Collaboration and Communication Platform based on Contents for an Efficient Task Management in Construction Project vol.17, pp.3, 2016, https://doi.org/10.6106/KJCEM.2016.17.3.098
  3. The Development of Next Generation Smart PMIS System vol.14, pp.2, 2013, https://doi.org/10.6106/KJCEM.2013.14.2.117
  4. Effect of PMIS Quality on Intention to Use and User Satisfaction vol.12, pp.1, 2012, https://doi.org/10.5345/JKIBC.2012.12.1.122
  5. Success model of project management information system in construction vol.25, 2012, https://doi.org/10.1016/j.autcon.2012.04.015
  6. Investigating the Impacts of the Quality of Project Management Information System on Project Performance and User Satisfaction vol.41, pp.3, 2018, https://doi.org/10.11627/jkise.2018.41.3.050