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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Main Authors: Hui-jie Jiang, Zhi-peng Cui, Hang Yin, Zhong-bao Yang
Format: Article
Language:English
Published: Wiley 2021-01-01
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
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language English
publishDate 2021-01-01
publisher Wiley
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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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AT zhongbaoyang bimperformanceprojectcomplexityandusersatisfactionaqcastudyof39cases