Exploring the Factors That Influence Active BIM Use by Employees Using a Configuration Perspective: An Empirical Study in China
Publication: Journal of Management in Engineering
Volume 40, Issue 5
Abstract
Despite the widespread promotion and adoption of technology, such as building information modeling (BIM), the level of employee enthusiasm for its use varies significantly. Active BIM use by employees is influenced by multiple factors that reside in different aspects and have complementary and substitutive relationships. These complex causal relationships have not been fully understood. This study, from a configuration perspective, investigates how institutional pressures (coercive, normative, and mimetic), organizational factors (management support and colleague opinion), and personal innovativeness with information technology (IT) impact active BIM use by employees. Using data from 250 employees with BIM work experience, this study employs fuzzy-set qualitative comparative analysis (fsQCA) to reveal four configurations that achieve active BIM use by employees. By comparing and contrasting these configurations, three theoretical propositions are offered. The findings reveal that personal innovativeness with IT is a core condition, yet it requires the supplementation of institutional pressures and organizational factors. Among institutional pressures, mimetic pressures have a more significant impact compared with coercive and normative pressures, which function complementarily in fostering active BIM use by employees. When the three types of institutional pressure are not uniformly high, management support and colleague opinion manifest more complementarity in enhancing active BIM use; however, when all institutional pressures are high, they exhibit more substitutability. The results uncover the complex relationships among these factors, advance understanding of their influences on individual active technology use, and provide practical guidance for enterprises to effectively encourage active technology use by employees.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. These include the raw data from the questionnaire survey.
Acknowledgments
This study received support from the National Natural Science Foundation of China (NSFC) under Grants Nos. 72031008 and 71901161. The authors thank the NSFC for its financial support and are grateful to all the respondents and interviewees who participated in the survey.
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Information & Authors
Information
Published In
Journal of Management in Engineering
Volume 40 • Issue 5 • September 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Sep 19, 2023
Accepted: Apr 12, 2024
Published online: Jun 28, 2024
Published in print: Sep 1, 2024
Discussion open until: Nov 28, 2024
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