Cited 0 time in
프로젝트 성과, 사용자 만족도 및 재사용의도에 미치는 PMIS의 산업별 영향 비교
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 박소현 | - |
| dc.contributor.author | 이아연 | - |
| dc.contributor.author | 김승철 | - |
| dc.date.accessioned | 2022-07-06T14:13:04Z | - |
| dc.date.available | 2022-07-06T14:13:04Z | - |
| dc.date.issued | 2021-09 | - |
| dc.identifier.issn | 2005-0461 | - |
| dc.identifier.issn | 2287-7975 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/141046 | - |
| dc.description.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. | - |
| dc.format.extent | 12 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 한국산업경영시스템학회 | - |
| dc.title | 프로젝트 성과, 사용자 만족도 및 재사용의도에 미치는 PMIS의 산업별 영향 비교 | - |
| dc.title.alternative | Examining the PMIS Impacts on the Project Performance, User Satisfaction and Reuse Intention among the Project based Industries | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.11627/jkise.2021.44.3.276 | - |
| dc.identifier.bibliographicCitation | 산업경영시스템학회지, v.44, no.3, pp 276 - 287 | - |
| dc.citation.title | 산업경영시스템학회지 | - |
| dc.citation.volume | 44 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 276 | - |
| dc.citation.endPage | 287 | - |
| dc.identifier.kciid | ART002759971 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Project Management Information System (PMIS) | - |
| dc.subject.keywordAuthor | Project management performance | - |
| dc.subject.keywordAuthor | Project based industries | - |
| dc.subject.keywordAuthor | Industry comparison | - |
| dc.identifier.url | https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=JAKO202128837823060 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
