BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases
Open Access
- 25 September 2021
- journal article
- research article
- Published by Hindawi Limited in Advances in Civil Engineering
- Vol. 2021, 1-10
- https://doi.org/10.1155/2021/6654851
Abstract
Although the realization of building information modeling (BIM) performance is the basis for the generation of users satisfaction, few studies have explored the influence path between BIM performance and BIM users satisfaction in recent years. Therefore, to enrich the research results of BIM users 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 users 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.Keywords
This publication has 44 references indexed in Scilit:
- The project benefits of Building Information Modelling (BIM)International Journal of Project Management, 2013
- The User Pre-Occupancy Evaluation Method in designer–client communication in early design stage: A case studyAutomation in Construction, 2013
- Theoretical aspects of Fuzzy Set Qualitative Comparative Analysis (fsQCA)Information Sciences, 2013
- Measuring BIM performance: Five metricsArchitectural Engineering and Design Management, 2012
- The Comparative Advantages of fsQCA and Regression Analysis for Moderately Large-N AnalysesSociological Methods & Research, 2012
- Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization ResearchThe Academy of Management Journal, 2011
- The interactive effect of team dynamics and organizational support on ICT project successInternational Journal of Project Management, 2009
- Perspective: Complexity Theory and Organization ScienceOrganization Science, 1999
- Configurations of strategy and structure: Towards a synthesisStrategic Management Journal, 1986
- Structure in 5's: A Synthesis of the Research on Organization DesignManagement Science, 1980