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Ballesteros-Pérez, P, Sanz-Ablanedo, E, Soetanto, R, González-Cruz, M C, Larsen, G D and Cerezo-Narváez, A (2020) Duration and Cost Variability of Construction Activities: An Empirical Study. Journal of Construction Engineering and Management, 146(01).
Davila Delgado, J M, Oyedele, L, Bilal, M, Ajayi, A, Akanbi, L and Akinade, O (2020) Big Data Analytics System for Costing Power Transmission Projects. Journal of Construction Engineering and Management, 146(01).
Deng, H, Hong, H, Luo, D, Deng, Y and Su, C (2020) Automatic Indoor Construction Process Monitoring for Tiles Based on BIM and Computer Vision. Journal of Construction Engineering and Management, 146(01).
El-adaway, I H, Ali, G G, Abotaleb, I S and Barber, H M (2020) Studying the Relationship between Stock Prices of Publicly Traded US Construction Companies and Gross Domestic Product: Preliminary Step toward Construction–Economy Nexus. Journal of Construction Engineering and Management, 146(01).
Elmousalami, H H (2020) Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review. Journal of Construction Engineering and Management, 146(01).
Gondia, A, Siam, A, El-Dakhakhni, W and Nassar, A H (2020) Machine Learning Algorithms for Construction Projects Delay Risk Prediction. Journal of Construction Engineering and Management, 146(01).
Halabya, A and El-Rayes, K (2020) Optimizing the Planning of Pedestrian Facilities Upgrade Projects to Maximize Accessibility for People with Disabilities. Journal of Construction Engineering and Management, 146(01).
He, C, McCabe, B, Jia, G and Sun, J (2020) Effects of Safety Climate and Safety Behavior on Safety Outcomes between Supervisors and Construction Workers. Journal of Construction Engineering and Management, 146(01).
Li, Y, Cao, L, Han, Y and Wei, J (2020) Development of a Conceptual Benchmarking Framework for Healthcare Facilities Management: Case Study of Shanghai Municipal Hospitals. Journal of Construction Engineering and Management, 146(01).
Maqsoom, A, Wazir, S J, Choudhry, R M, Thaheem, M J and Zahoor, H (2020) Influence of Perceived Fairness on Contractors’ Potential to Dispute: Moderating Effect of Engineering Ethics. Journal of Construction Engineering and Management, 146(01).
Newaz, M T, Davis, P, Jefferies, M and Pillay, M (2020) Examining the Psychological Contract as Mediator between the Safety Behavior of Supervisors and Workers on Construction Sites. Journal of Construction Engineering and Management, 146(01).
Pereira, E, Ali, M, Wu, L and Abourizk, S (2020) Distributed Simulation–Based Analytics Approach for Enhancing Safety Management Systems in Industrial Construction. Journal of Construction Engineering and Management, 146(01).
Signor, R, Love, P E D, Belarmino, A T N and Alfred Olatunji, O (2020) Detection of Collusive Tenders in Infrastructure Projects: Learning from Operation Car Wash. Journal of Construction Engineering and Management, 146(01).
Tawalare, A, Laishram, B and Thottathil, F (2020) Relational Partnership in Public Construction Organizations: Front-Line Employee Perspective. Journal of Construction Engineering and Management, 146(01).
Yuan, H and Yang, Y (2020) BIM Adoption under Government Subsidy: Technology Diffusion Perspective. Journal of Construction Engineering and Management, 146(01).
- Type: Journal Article
- Keywords: Building information modeling; Information technology; Adoption; Diffusion; Government subsidy;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001733
- Abstract:
Although building information modeling (BIM) holds the promise of significantly advancing the architecture, engineering, and construction (AEC) market worldwide, its widespread acceptance and adoption is still an unsolved issue. From a technology diffusion perspective, this paper proposes a game theory–based model including two firms who both are potential BIM adopters under support from the government (i.e., subsidy). Two influential factors affecting AEC firms’ BIM adoption decisions are identified, including BIM adoption efficiency and adoption incentives. Through analyzing the model with a backward-induction method, AEC firms’ best responses of joining time and the government’s optimal subsidizing strategies are discussed. The findings show that the government subsidy is effective in promoting BIM adoption because the subsidy can both bring forward the joining time and enhance BIM adoption efficiency by offsetting firms’ setup costs. Under the government’s subsidy policies, AEC firms that are originally negative toward BIM adoption can become positive, which demonstrates the occurrence of BIM technology diffusion. Theoretical and practice implications are also discussed. This study contributes to a new perspective for understanding BIM adoption behaviors among AEC firms. In addition, the study for the first time introduces game theory into explaining BIM adoption and diffusion, which may benefit BIM implementation and enhance the effectiveness of policies aiming at promoting BIM application practices.