BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases
Although the realization of building information modeling (BIM) performance is the basis for the generation of user’s satisfaction, few studies have explored the influence path between BIM performance and BIM user’s satisfaction in recent years. Therefore, to enrich the research results of BIM user’...
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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/6654851 |
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author | Hui-jie Jiang Zhi-peng Cui Hang Yin Zhong-bao Yang |
author_facet | Hui-jie Jiang Zhi-peng Cui Hang Yin Zhong-bao Yang |
author_sort | Hui-jie Jiang |
collection | DOAJ |
description | Although the realization of building information modeling (BIM) performance is the basis for the generation of user’s satisfaction, few studies have explored the influence path between BIM performance and BIM user’s satisfaction in recent years. Therefore, to enrich the research results of BIM user’s satisfaction and provide reference schemes for engineering practice, this study adopts the fsQCA (fuzzy-set qualitative comparative analysis) method, taking 39 project cases using BIM technology as the base sample to analyze the influence path between BIM performance and user’s satisfaction. Moreover, this study is based on the configuration theory, examining four elements of BIM performance: BIM accuracy, information integration, functional advantages and manager support, and the complexity of the project. Finally, this study identifies three types of configuration results: performance type, support type, and comprehensive type. The performance type can achieve high user satisfaction in relatively complex projects; the support type requires executive support to improve user satisfaction in less complex projects, and the comprehensive type improves satisfaction through multiple BIM performances without considering project complexity. |
format | Article |
id | doaj-art-2dbe410f12fb42bb8b3822eef63a201b |
institution | Kabale University |
issn | 1687-8086 1687-8094 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Civil Engineering |
spelling | doaj-art-2dbe410f12fb42bb8b3822eef63a201b2025-02-03T01:25:00ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66548516654851BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 CasesHui-jie Jiang0Zhi-peng Cui1Hang Yin2Zhong-bao Yang3School of Construction and Environmental Engineering, Shenzhen Polytechnic, Shenzhen, ChinaSchool of Urban Economics and Management, Beijing University of Civil Engineering and Architecture, Beijing, ChinaCollege of Management and Economics, Tianjin University, Tianjin, ChinaShenZhen Dongsen Construction Project Management Co., Ltd., Shenzhen, ChinaAlthough the realization of building information modeling (BIM) performance is the basis for the generation of user’s satisfaction, few studies have explored the influence path between BIM performance and BIM user’s satisfaction in recent years. Therefore, to enrich the research results of BIM user’s satisfaction and provide reference schemes for engineering practice, this study adopts the fsQCA (fuzzy-set qualitative comparative analysis) method, taking 39 project cases using BIM technology as the base sample to analyze the influence path between BIM performance and user’s satisfaction. Moreover, this study is based on the configuration theory, examining four elements of BIM performance: BIM accuracy, information integration, functional advantages and manager support, and the complexity of the project. Finally, this study identifies three types of configuration results: performance type, support type, and comprehensive type. The performance type can achieve high user satisfaction in relatively complex projects; the support type requires executive support to improve user satisfaction in less complex projects, and the comprehensive type improves satisfaction through multiple BIM performances without considering project complexity.http://dx.doi.org/10.1155/2021/6654851 |
spellingShingle | Hui-jie Jiang Zhi-peng Cui Hang Yin Zhong-bao Yang BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases Advances in Civil Engineering |
title | BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases |
title_full | BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases |
title_fullStr | BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases |
title_full_unstemmed | BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases |
title_short | BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases |
title_sort | bim performance project complexity and user satisfaction a qca study of 39 cases |
url | http://dx.doi.org/10.1155/2021/6654851 |
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