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Burke, R D, Parrish, K and El Asmar, M (2018) Environmental Product Declarations: Use in the Architectural and Engineering Design Process to Support Sustainable Construction. Journal of Construction Engineering and Management, 144(05).
Delgado, L, Shealy, T, Garvin, M and Pearce, A (2018) Framing Energy Efficiency with Payback Period: Empirical Study to Increase Energy Consideration during Facility Procurement Processes. Journal of Construction Engineering and Management, 144(05).
Doloi, H (2018) Community-Centric Model for Evaluating Social Value in Projects. Journal of Construction Engineering and Management, 144(05).
El-Sabek, L M and McCabe, B Y (2018) Framework for Managing Integration Challenges of Last Planner System in IMPs. Journal of Construction Engineering and Management, 144(05).
Farshchian, M M and Heravi, G (2018) Probabilistic Assessment of Cost, Time, and Revenue in a Portfolio of Projects Using Stochastic Agent-Based Simulation. Journal of Construction Engineering and Management, 144(05).
Liang, Q, Leung, M and Cooper, C (2018) Focus Group Study to Explore Critical Factors for Managing Stress of Construction Workers. Journal of Construction Engineering and Management, 144(05).
Lines, B C and Ravi Kumar, G G (2018) Developing More Competitive Proposals: Relationship between Contractor Qualifications-Based Proposal Content and Owner Evaluation Scores. Journal of Construction Engineering and Management, 144(05).
Mahpour, A and Mortaheb, M M (2018) Financial-Based Incentive Plan to Reduce Construction Waste. Journal of Construction Engineering and Management, 144(05).
Nguyen, D A, Garvin, M J and Gonzalez, E E (2018) Risk Allocation in U.S. Public-Private Partnership Highway Project Contracts. Journal of Construction Engineering and Management, 144(05).
Rocha, C G d, Anzanello, M J and Gerchman, M (2018) Method to Assess the Match between Clients’ Input and Decoupling Points in Customized Building Projects. Journal of Construction Engineering and Management, 144(05).
Schuldt, S and El-Rayes, K (2018) Optimizing the Planning of Remote Construction Sites to Minimize Facility Destruction from Explosive Attacks. Journal of Construction Engineering and Management, 144(05).
Tembo-Silungwe, C K and Khatleli, N (2018) Identification of Enablers and Constraints of Risk Allocation Using Structuration Theory in the Construction Industry. Journal of Construction Engineering and Management, 144(05).
- Type: Journal Article
- Keywords: Agency; Constraints; Enablers; Practices; Risk allocation; Structuration; Zambia;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001471
- Abstract:
Risk allocation has been a focus of interest in the construction industry for some time because of its effects on disputes, claims, tensions, quality shortfalls, and time and cost overruns. Although various theories have been used, albeit with observable limitations, the social theory of structuration has not been tried, and this study shows its relevance in this regard. In this study, structuration theory (ST) is used to understand constraints and enablers for risk allocation and the improvements that could be gained from applying aspects of the theory. A mixed-method approach is used with 15 semistructured interviews and a questionnaire survey from 198 respondents associated with the Zambian construction industry. The findings from the analysis suggest that facets of structuration theory, namely (1) work and effort; (2) interest and power; (3) agency and creativity; (4) materiality; and (5) knowledge, help to identify simple practices that can improve risk allocation. The structuration theoretical lens explains and helps to understand risk allocation because it combines the interaction between structure and agency. It clarifies some issues influencing risk allocation, decision making, and the management of risk allocation between the contractual parties, making it a valuable theoretical contribution, more so in a developing-country context where several structures are not fully developed. The facets can be agency-related or structure-related and may both enable and/or constrain appropriate risk allocation.
Yap, J B H, Abdul-Rahman, H and Wang, C (2018) Preventive Mitigation of Overruns with Project Communication Management and Continuous Learning: PLS-SEM Approach. Journal of Construction Engineering and Management, 144(05).
Zhang, M, Cheng, W and Wang, Y (2018) Multiple-Fault Classification for Hot-Mix Asphalt Production by Machine Learning. Journal of Construction Engineering and Management, 144(05).