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Ayodele, O A, Chang-Richards, A and González, V (2020) Factors Affecting Workforce Turnover in the Construction Sector: A Systematic Review. Journal of Construction Engineering and Management, 146(02).

Balali, V, Zalavadia, A and Heydarian, A (2020) Real-Time Interaction and Cost Estimating within Immersive Virtual Environments. Journal of Construction Engineering and Management, 146(02).

Bayat, M, Khanzadi, M and Nasirzadeh, F (2020) Bargaining Game Model to Determine Concessionary Items in Build-Operate-Transfer Contracts. Journal of Construction Engineering and Management, 146(02).

Bhandari, S, Hallowell, M R, Boven, L V, Welker, K M, Golparvar-Fard, M and Gruber, J (2020) Using Augmented Virtuality to Examine How Emotions Influence Construction-Hazard Identification, Risk Assessment, and Safety Decisions. Journal of Construction Engineering and Management, 146(02).

Cheng, J C P, Chen, K and Chen, W (2020) State-of-the-Art Review on Mixed Reality Applications in the AECO Industry. Journal of Construction Engineering and Management, 146(02).

Enshassi, M S A, Walbridge, S, West, J S and Haas, C T (2020) Dynamic and Proactive Risk-Based Methodology for Managing Excessive Geometric Variability Issues in Modular Construction Projects Using Bayesian Theory. Journal of Construction Engineering and Management, 146(02).

Gao, S, Song, X and Ding, R (2020) Promoting Information Transfer in Collaborative Projects through Network Structure Adjustment. Journal of Construction Engineering and Management, 146(02).

Hong, Y, Hammad, A, Zhong, X, Wang, B and Akbarnezhad, A (2020) Comparative Modeling Approach to Capture the Differences in BIM Adoption Decision-Making Process in Australia and China. Journal of Construction Engineering and Management, 146(02).

  • Type: Journal Article
  • Keywords: Building information modeling (BIM) adoption; Chinese and Australia construction small and medium enterprises (SMEs); Multigroup analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001746
  • Abstract:
    The growing rate of building information modeling (BIM) adoption inevitability adds to the importance of understanding the BIM adoption decision-making process. Several models based on systematic surveys are available in the literature to formulate the BIM adoption decision-making process. It is still, however, not clear whether the decision parameters in these models are universally important. This study examines the main attributes of the BIM adoption decision-making process in China and Australia. An adoption model developed earlier for Australia is tested for Chinese data collected from 103 small and medium construction companies (SMEs). By highlighting model fitness issues, the model is then reconstructed for comparing BIM adoption in cross-cultural contexts. Data are analyzed using a logistic regression to understand the main factors impacting BIM adoption. Structural equation modeling based on multigroup analysis is also adopted in the analysis. The analysis indicates that Australian construction SMEs adopt BIM to solve organizational collaboration problems and improve workflow efficiency, whereas Chinese construction SMEs adopt BIM to improve organizational technical ability. The results of this study highlighted the Chinse companies tend to be more careful during the implementation of new technology to minimize uncertainty, whereas BIM adoption decision makers in Australian companies are more focused on change management and empowering subordinates.

Hou, X, Zeng, Y and Xue, J (2020) Detecting Structural Components of Building Engineering Based on Deep-Learning Method. Journal of Construction Engineering and Management, 146(02).

John, S T, Roy, B K, Sarkar, P and Davis, R (2020) IoT Enabled Real-Time Monitoring System for Early-Age Compressive Strength of Concrete. Journal of Construction Engineering and Management, 146(02).

Ma, H, Zeng, S, Lin, H and Zeng, R (2020) Impact of Public Sector on Sustainability of Public–Private Partnership Projects. Journal of Construction Engineering and Management, 146(02).

Ma, X, Chan, A P C, Li, Y, Zhang, B and Xiong, F (2020) Critical Strategies for Enhancing BIM Implementation in AEC Projects: Perspectives from Chinese Practitioners. Journal of Construction Engineering and Management, 146(02).

Milberg, C T and Tommelein, I D (2020) Methods for Managing Tolerance Compatibility: Windows in Cast-in-Place Concrete. Journal of Construction Engineering and Management, 146(02).

Sharma, V, Caldas, C H and Mulva, S P (2020) Identification and Prioritization of Factors Affecting the Overall Project Cost of Healthcare Facilities. Journal of Construction Engineering and Management, 146(02).

Sherratt, F and Leicht, R (2020) Unpacking Ontological Perspectives in CEM Research: Everything Is Biased. Journal of Construction Engineering and Management, 146(02).

Swei, O (2020) Forecasting Infidelity: Why Current Methods for Predicting Costs Miss the Mark. Journal of Construction Engineering and Management, 146(02).

Syed, A and Sonparote, R S (2020) Development and Early-Age Performance of an Innovative Prestressed Precast Concrete Pavement. Journal of Construction Engineering and Management, 146(02).

Trinh, M T and Feng, Y (2020) Impact of Project Complexity on Construction Safety Performance: Moderating Role of Resilient Safety Culture. Journal of Construction Engineering and Management, 146(02).

Zhou, M, Liu, Y, Wang, K and Fahmi Hassanein, M (2020) New Asynchronous-Pouring Rapid-Construction Method for Long-Span Prestressed Concrete Box Girder Bridges with Corrugated Steel Webs. Journal of Construction Engineering and Management, 146(02).

Zuluaga, C M, Albert, A and Winkel, M A (2020) Improving Safety, Efficiency, and Productivity: Evaluation of Fall Protection Systems for Bridge Work Using Wearable Technology and Utility Analysis. Journal of Construction Engineering and Management, 146(02).