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Arabi, S, Eshtehardian, E and Shafiei, I (2022) Using Bayesian Networks for Selecting Risk-Response Strategies in Construction Projects. Journal of Construction Engineering and Management, 148(08).
Chang, T, Chi, S and Im, S (2022) Understanding User Experience and Satisfaction with Urban Infrastructure through Text Mining of Civil Complaint Data. Journal of Construction Engineering and Management, 148(08).
Dias Barkokebas, R, Al-Hussein, M and Li, X (2022) VR–MOCAP-Enabled Ergonomic Risk Assessment of Workstation Prototypes in Offsite Construction. Journal of Construction Engineering and Management, 148(08).
Ezzeddine, A, Shehab, L, Lucko, G and Hamzeh, F (2022) Forecasting Construction Project Performance with Momentum Using Singularity Functions in LPS. Journal of Construction Engineering and Management, 148(08).
Feng, K, Wang, S, Lu, W, Liu, C and Wang, Y (2022) Planning Construction Projects in Deep Uncertainty: A Data-Driven Uncertainty Analysis Approach. Journal of Construction Engineering and Management, 148(08).
Gomes Araújo, L and Lucko, G (2022) Best Practices for Case Studies in Construction Engineering and Management Research. Journal of Construction Engineering and Management, 148(08).
Heaton, R, Martin, H, Chadee, A, Milling, A, Dunne, S and Borthwick, F (2022) The Construction Materials Conundrum: Practical Solutions to Address Integrated Supply Chain Complexities. Journal of Construction Engineering and Management, 148(08).
Islam, M S, Mohandes, S R, Mahdiyar, A, Fallahpour, A and Olanipekun, A O (2022) A Coupled Genetic Programming Monte Carlo Simulation–Based Model for Cost Overrun Prediction of Thermal Power Plant Projects. Journal of Construction Engineering and Management, 148(08).
Koo, H J and O’Connor, J T (2022) A Strategy for Building Design Quality Improvement through BIM Capability Analysis. Journal of Construction Engineering and Management, 148(08).
Le, C, Jeong, H D, Damnjanovic, I and Bukkapatnam, S (2022) Pareto Principle in Scoping-Phase Cost Estimating: A Multiobjective Optimization Approach for Selecting and Applying Optimal Major Work Items. Journal of Construction Engineering and Management, 148(08).
Lee, C, Chong, H, Tanko, B L and Klufallah, M (2022) Effect between Trust in Communication Technology and Interorganizational Trust in BIM-Enabled Projects. Journal of Construction Engineering and Management, 148(08).
Lee, G H, Kim, J I, Koo, C and Kim, T W (2022) Automated Generation of Precast Concrete Slab Stacks for Transportation in Offsite Construction Projects. Journal of Construction Engineering and Management, 148(08).
Liu, Y, Yao, F, Ji, Y, Tong, W, Liu, G, Li, H X and Hu, X (2022) Quality Control for Offsite Construction: Review and Future Directions. Journal of Construction Engineering and Management, 148(08).
Mmereki, D and Brouwer, D (2022) Application of Innovative Materials and Methods in Green Buildings and Associated Occupational Exposure and Health of Construction Workers: A Systematic Literature Review. Journal of Construction Engineering and Management, 148(08).
Simmons, D R, Polmear, M, Bae, H and McCall, C (2022) Applying a New Lens: Using Photo Elicitation in Construction Engineering Management Research. Journal of Construction Engineering and Management, 148(08).
Son, J, O’Brien, W J and Thomas, S R (2022) Recommended Practices for Effective Management of Academia–Industry Collaborative Research Teams in Construction Management. Journal of Construction Engineering and Management, 148(08).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002342
- Abstract:
A significant benefit of research collaboration between academia and industry is that it encourages industry to make use of research outcomes produced through the synergy effect between academic and industry participants. Despite these potential benefits, only a limited number of studies have looked at actual cases of such collaboration in the construction management area. To help improve academia–industry collaborative research, the current study validated the success factors collected from extant literature against actual cases. The study conducted in-depth studies of 11 research teams, a mix of well-functioning and subpar-functioning teams. The 11 research teams, whose work was completed between 1988 and 2011, were selected from the research efforts sponsored by the Construction Industry Institute (CII), an organized research unit of the University of Texas at Austin. The case studies of the 11 research teams included semistructured interviews with 39 participants and an analysis of research team documents (e.g., team meeting minutes). The study then identified and analyzed recommended practices linked with the success factors of the collaborative research between academics and industry practitioners. As a result, this study provides a guide to successful academia–industry collaborative research that can enhance the academic body of knowledge as well as industry dissemination and implementation.
Wang, Y, Thangasamy, V K, Tiong, R L K and Zhang, L (2022) Improved Workflow for Precast Element Design Based on BIM and Lean Construction. Journal of Construction Engineering and Management, 148(08).
Xia, P, Xu, F, Zhou, T and Du, J (2022) Benchmarking Human versus Robot Performance in Emergency Structural Inspection. Journal of Construction Engineering and Management, 148(08).
Zarghami, S A (2022) Prioritizing Construction Activities: Addressing the Flaws of Schedule-Based Indexes. Journal of Construction Engineering and Management, 148(08).