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.

1. 서 론
2. 이론적 배경
    2.1 프로젝트 관리 정보시스템(PMIS) 품질
    2.2 프로젝트 관리성과
3. 연구방법
    3.1 연구모형과 연구가설
    3.2 자료 수집 및 변수의 정의
4. 실증 분석
    4.1 표본의 특성
    4.2 타당성 및 신뢰성 검증
    4.3 연구가설의 검증
5. 결 론
References

• So-Hyun Park(건국대학교 경영대학) | 박소현
• Ayeon Lee(네이처테이너 정부지원사업부) | 이아연
• Seung-Chul Kim(한양대학교 경영대학) | 김승철 Corresponding Author