본문 바로가기
KERD
논문KCI 등재

프로젝트 성과, 사용자 만족도 및 재사용의도에 미치는 PMIS의 산업별 영향 비교

Examining the PMIS Impacts on the Project Performance, User Satisfaction and Reuse Intention among the Project based Industries

이아연|김승철|박소현
한국산업경영시스템학회 (KOREAN SOCIETY OF INDUSTRIAL AND SYSTEMS ENGINEERING)|2021.09|한국산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)|제44권 제3호|pp. 276-287

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

Industry comparisonProject Management Information System (PMIS)Project management performanceProject based industries
주제분류산업공학

초록

Project Management Information System (PMIS) is a special purpose information system that is created to provide useful information for project managers and participants to make effective and efficient decision making during projects. The use of PMIS is increasing in project based industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project management performance. However, it is unclear what are the difference of PMIS impacts between industries, and still need to be studied further. The purpose of this study is to compare the impact of PMIS on project management performance between industries. We assume that the effects of PMIS will be different depending on the industry types. Five hypotheses are established and tested by using statistical methods. Data were collected by using a survey questionnaire from those people who had experience of using PMIS in various project related industries such as construction, defense, manufacturing, software development and telecommunication. The survey questionnaire consists of 5 point scale items and were distributed through e-mails and google drive network. A total of 181 responses were collected, and 137 were used for analysis after excluding those responses with missing items. Statistical techniques such as factor analysis and multiple regression are used to analyze the data. Summarizing the results, it is found that the impacts of PMIS quality on the PM performance are different depending on the industry types where PMIS is used. System quality seems to be more important for improving the PM performance in construction industry while information quality seems more important for manufacturing industry. As for the ICT and R&D industries, PMIS seems to have relatively lesser impact compared to construction and manufacturing industries.

Abstract

Project Management Information System (PMIS) is a special purpose information system that is created to provide useful information for project managers and participants to make effective and efficient decision making during projects. The use of PMIS is increasing in project based industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project management performance. However, it is unclear what are the difference of PMIS impacts between industries, and still need to be studied further. The purpose of this study is to compare the impact of PMIS on project management performance between industries. We assume that the effects of PMIS will be different depending on the industry types. Five hypotheses are established and tested by using statistical methods. Data were collected by using a survey questionnaire from those people who had experience of using PMIS in various project related industries such as construction, defense, manufacturing, software development and telecommunication. The survey questionnaire consists of 5 point scale items and were distributed through e-mails and google drive network. A total of 181 responses were collected, and 137 were used for analysis after excluding those responses with missing items. Statistical techniques such as factor analysis and multiple regression are used to analyze the data. Summarizing the results, it is found that the impacts of PMIS quality on the PM performance are different depending on the industry types where PMIS is used. System quality seems to be more important for improving the PM performance in construction industry while information quality seems more important for manufacturing industry. As for the ICT and R&D industries, PMIS seems to have relatively lesser impact compared to construction and manufacturing industries.

참고문헌 (45)

  1. Afthanorhan, A., "Assessing the effects of service quality on customer satisfaction", Management Science Letters, 9(1), pp.13~24 (2019)
  2. Baccarini, D., "The logical framework method for defining project success", Project Management Journal, 30(4), pp.25~32 (1999)
  3. Braglia, M., "An integrated approach to implement Project Management Information Systems within the Extended Enterprise", International Journal of Project Management, 32(1), pp.18~29 (2014)
  4. Chang, M. K., "Research for Relationship between Project Management Maturity Model and Project Performance", Project Management Review, 5(1), pp.49~66 (2015)
  5. Cui, Y., "Understanding information system success model and valence framework in sellers’ acceptance of cross border e commerce:a sequential multi method approach", Electronic Commerce Research, 19, pp.885~914 (2019)
  6. Davis, F. D., "A technology acceptance model for empirically testing new end-user information systems:theory and results", Doctor, pp.1986
  7. Davis, K., "Different stakeholder groups and their perceptions of project success", International Journal of Project Management, 32(2), pp.189~201 (2014)
  8. DeLone, W. H., "Information systems success: the quest for the dependent variable", Information Systems Research, 3(1), pp.60~95 (1992)
  9. DeLone, W. H., "The DeLone and McLean model of Information systems success: a ten-year update", Journal of Management Information System, 19(4), pp.9~30 (2003)
  10. DeLone, W. H., "Measuring information systems success: models, dimensions, measures, and interrelationships", European Journal of Information Systems, 17(3), pp.236~263 (2008)
  11. Froese, T. M., "The impact of emerging information technology on project management for construction", Automation in Construction, 19, pp.531~538 (2010)
  12. Jaafari, A., "Towards a smart project management information system", International Journal of Project Management, 16(4), pp.249~265 (1998)
  13. Jeyaraj, A., "DeLone & McLean models of information system success: Critical meta-review and research directions", International Journal of Information Management, 54, pp.1~15 (2020)
  14. Jiang, J. J., "Measuring Information System Service Quality: SERVQUAL from the Other Side", MIS Quarterly, 26(2), pp.145~166 (2002)
  15. Karim, A. J., "Project Management Information Systems (PMIS) Factors: An Empirical Study of Their Impact on Project Management Decision Making (PMDM)Performance", Research Journal of Economics, Business and ICT, 2, pp.22~27 (2011)
  16. 김성아, "건설 프로젝트 업무관리 효율화를 위한 콘텐츠기반 협업 플랫폼 개발", 한국건설관리학회 논문집, 17(3), pp.98~107 (2016), 한국건설관리학회[DOI]
  17. 김승철, "기업의 프로젝트 관리능력과 프로젝트 성과의 상관관계 분석", 로고스경영연구, 13(2), pp.139~162 (2015), 한국로고스경영학회
  18. 고덕성, "프로젝트 과정품질이 프로젝트 성과에 미치는 영향 : 시스템통합 프로젝트를 중심으로", 한국IT서비스학회지, 18(2), pp.75~96 (2019), 한국IT서비스학회
  19. 권장현, "건설 산업에서 이해관계자들의 인식 부합이 프로젝트 성과에 미치는 영향", 한국산업경영시스템학회지, 42(3), pp.232~241 (2019), 한국산업경영시스템학회[DOI]
  20. Lee, C. C., "A Variation of the DeLone and McLean Model for Collaborative Commerce Services: A Structural Equation Model", Journal of International Technology and Information Management, 29(3), pp.81~102 (2020)
  21. Lee, S. K., "Assessment of ASP-PMIS Quality in Korea", KICEM Journal of Construction Engineering and Project Management, 1(3), pp.9~17 (2011)
  22. Lee, S. K., "Critical Success Factors for Project Management Information System in Construction", KICEM Journal of Construction Engineering and Project Management, 1(1), pp.25~30 (2011)
  23. Lee, S. K., "Success model of project management information system in construction", Automation in Construction, 25, pp.82~93 (2012)
  24. Leyland F. P., "Service Quality: A Measure of Information Systems Effectiveness", MIS Quarterly, 19(2), pp.173~187 (1995)
  25. Liberatore, M. J., "Factors influencing the usage and selection of project management software", IEEE Transactions Engineering Management, 50(2), pp.164~174 (2003)
  26. Love, P. E. D., "A project management quality cost information system for the construction industry", Information & Management, 40(7), pp.649~661 (2003)
  27. Marangunic, N., "Technology acceptance model: a literature review from 1986 to 2013", Universal Access in the Information Society, 14, pp.81~95 (2015)
  28. Michel, S., "Net Impacts in Front Office IS: a First Operationalization of Delone and McLean Model in the Banking Sector", The Electronic Journal of Information Systems Evaluation, 22(2), pp.92~112 (2019)
  29. Muller, R., "The influence of project managers on project success criteria and project success by type of project", European Management Journal, 25(4), pp.298~309 (2007)
  30. Parasuraman, A, "SERVQUAL: A Multiple- Item Scale for Measuring Consumer Perceptions of Service Quality", Journal of Retailing, 62(1), pp.12~40 (1985)
  31. 박소현, "프로젝트 관리 정보시스템 품질이 프로젝트 성과와 사용자 만족도에 미치는 영향", 한국산업경영시스템학회지, 41(3), pp.50~60 (2018), 한국산업경영시스템학회[DOI]
  32. Petter, S., "Measuring information systems success: models, dimensions, measures, and interrelationship", European Journal of Information Systems, 17(3), pp.236~263 (2008)
  33. Petter, S., "Information Systems Success: The Quest for the Independent Variables", Journal of Management Information Systems, 29(4), pp.7~62 (2013)
  34. Project Management Institute, "A Guide to the Project Management Body of Knowledge" (2013), Newtown Square
  35. Raymond, L., "Project Management Information Systems: An Empirical Study of Their Impact on Project Managers and Project Success", International Journal of Project Management, 26(2), pp.213~220 (2008)
  36. Raza, S. A., "Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model", The TQM Journal, 32(6), pp.1443~1466 (2020)
  37. Stewart, R. A., "IT enhanced project information management in construction: Pathways to improved performance and strategic competitiveness", Automation in Construction, 16, pp.511~517 (2007)
  38. 성민우, "건설 PMIS 품질이 사용의도 및 사용자 만족도에 미치는 영향", 한국건축시공학회지, 12(1), pp.122~132 (2012), 한국건축시공학회
  39. Taylor, S. A., "An assessment of the relationship between service quality and customer satisfaction in the formation of consumers’ purchase intentions", Journal of Retailing, 70(2), pp.163~178 (1994)
  40. Venkatesh, V., "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies", Management Science, 46(2), pp.186~204 (2000)
  41. Venkatesh, V., "User Acceptance of Information Technology:Toward a Unified View", MIS Quarterly, 27(3), pp.425~478 (2003)
  42. William, F., "The Evaluation of Enterprise Resource Planningapplication Using Information Systems Success Model", Journal of Management Information and Decision Sciences, 24(5), pp.1~13 (2021)
  43. Williams, M. D., "The unified theory of acceptance and use of technology (UTAUT): a literature review", Journal of Enterprise Information Management, 28(3), pp.443~488 (2015)
  44. Yu, A. G., "Developing a value-centered proposal for assessing project success", International Journal of Project Management, 23(6), pp.428~436 (2005)
  45. Zwikael, O., "A general framework for gauging the performance of initiatives to enhance organizational value", British Journal of Management, 23(S1), pp.S6~S22 (2012)

관련 논문AI추천

프로젝트 관리 정보시스템 품질이 프로젝트 성과와 사용자 만족도에 미치는 영향김승철, 박소현, 이태원한국산업경영시스템학회 · 한국산업경영시스템학회지2018 · 제41권 제3호IS프로젝트에서 PMS 품질이 성과에 미치는 영향에 대한 연구안현철, 정천수한국지식경영학회 · 지식경영연구2012 · 제13권 제3호건설산업에서 프로젝트관리오피스(PMO)와 프로젝트성과의 영향관계 분석: PM리더십 조절효과 중심으로김승철, 박소현, 이헌창한국산업경영시스템학회 · 한국산업경영시스템학회지2021 · 제44권 제3호프로젝트 관리 지식영역이 프로젝트 성과에 미치는 영향: 건설업을 중심으로김승철, 박소현, 정동현한국산업경영시스템학회 · 한국산업경영시스템학회지2025 · 제48권 제3호4CM기반의 건설사업관리 시스템 개발 및 구현김재수, 최성연(사)디지털산업정보학회 · (사)디지털산업정보학회 논문지2011 · 제7권 제2호정보시스템 사용이 FM 업무성과에 미치는 효과유정호한국퍼실리티매니지먼트학회 · 한국퍼실리티매니지먼트학회지2017 · 제12권 제1호

이 간행물의 다른 논문 (24건)

딥러닝 이미지 인식 기술을 활용한 소고기 등심 세부 부위 분류유태선, 박경수, 정성훈, 한준희pp. 1-9수중적층용 3D 콘크리트 프린팅 장비 개발에 대한 연구황준필, 이호재, 권홍규pp. 10-21다품종 제품과 전용 대기공간을 고려한 다단계 베르누이 라인을 위한 성능 모델박경수, 한준희, 김우성pp. 22-32농작물 질병분류를 위한 전이학습에 사용되는 기초 합성곱신경망 모델간 성능 비교윤협상, 정석봉pp. 33-38CVP 분석을 이용한 전투기 외부 도장면 제거 공정의 경제성 분석박종훈, 이창용pp. 39-49
원문 보기