Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 23 results ...
Assaad, R, El-Adaway, I H and Abotaleb, I S (2020) Predicting Project Performance in the Construction Industry. Journal of Construction Engineering and Management, 146(05).
Chan, A P C, Chiang, Y, Wong, F K, Liang, S and Abidoye, F A (2020) Work–Life Balance for Construction Manual Workers. Journal of Construction Engineering and Management, 146(05).
Firouzi, A and Khayyati, M (2020) Bayesian Updating of Copula-Based Probabilistic Project-Duration Model. Journal of Construction Engineering and Management, 146(05).
Gao, N and Touran, A (2020) Cost Overruns and Formal Risk Assessment Program in US Rail Transit Projects. Journal of Construction Engineering and Management, 146(05).
Hacker, M E, Kaminsky, J, Faust, K M and Rauch, S (2020) Regulatory Enforcement Approaches for Mass Population Displacement. Journal of Construction Engineering and Management, 146(05).
Hasanzadeh, S, de la Garza, J M and Geller, E S (2020) Latent Effect of Safety Interventions. Journal of Construction Engineering and Management, 146(05).
Hu, Q, Bai, Y, He, L, Cai, Q, Tang, S, Ma, G, Tan, J and Liang, B (2020) Intelligent Framework for Worker-Machine Safety Assessment. Journal of Construction Engineering and Management, 146(05).
Hua, Y, He, J, Gong, J and Zhao, J (2020) Hazardous Area Risk-Based Evacuation Simulation and Analysis of Building Construction Sites. Journal of Construction Engineering and Management, 146(05).
Krechowicz, M (2020) Comprehensive Risk Management in Horizontal Directional Drilling Projects. Journal of Construction Engineering and Management, 146(05).
Liu, C, AbouRizk, S, Morley, D and Lei, Z (2020) Data-Driven Simulation-Based Analytics for Heavy Equipment Life-Cycle Cost. Journal of Construction Engineering and Management, 146(05).
Liu, J and Lu, M (2020) Synchronized Optimization of Various Management-Function Schedules in a Multiproject Environment: Case Study of Planning Steel Girder Fabrication Projects in Bridge Construction. Journal of Construction Engineering and Management, 146(05).
Lu, W, Xu, J and Söderlund, J (2020) Exploring the Effects of Building Information Modeling on Projects: Longitudinal Social Network Analysis. Journal of Construction Engineering and Management, 146(05).
Martínez-Rocamora, A, García-Alvarado, R, Casanova-Medina, E, González-Böhme, L F and Auat-Cheein, F (2020) Parametric Programming of 3D Printed Curved Walls for Cost-Efficient Building Design. Journal of Construction Engineering and Management, 146(05).
Navon, R (2020) The Last Lecture: The Need for Civil Engineering Education to Stimulate Thinking Instead of Only Teaching. Journal of Construction Engineering and Management, 146(05).
Nguyen, P H D, Tran, D and Lines, B C (2020) Fuzzy Set Theory Approach to Classify Highway Project Characteristics for Delivery Selection. Journal of Construction Engineering and Management, 146(05).
Okonkwo, P N and Wium, J (2020) Health and Safety Management Systems within Construction Contractor Organizations: Case Study of South Africa. Journal of Construction Engineering and Management, 146(05).
Pan, M and Pan, W (2020) Understanding the Determinants of Construction Robot Adoption: Perspective of Building Contractors. Journal of Construction Engineering and Management, 146(05).
- Type: Journal Article
- Keywords: Construction robots; Innovation adoption; Building; Technology-organization-environment;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001821
- Abstract:
Construction robots have emerged as a revolutionary technology for buildings. However, real-world adoption is still limited. Little is known how the decision of adopting construction robots or not is made in organizations, which inhibits the benefits of robots from being fully realized. This paper aims to investigate the determinants affecting construction robot adoption for building works at the organizational level. Drawing on the technology-organization-environment framework, a research model with 11 hypotheses on determinants was developed and empirically evaluated via a survey of 94 typical building contractors in Hong Kong using a partial least-squares structural equation modeling technique. The results indicate that relative advantage, top management support, organizational readiness, market competitive pressure, and high costs are significantly related to the adoption, among which top management support is most influential. A two-stage conceptual framework is derived that provides theoretical insights on the determinants and reveals the complexities and influence dynamics of determinants on the adoption during technology development. The findings offer useful suggestions for the effective development of robots for building works and lay a foundation for construction innovation adoption in a wider context.
Raoufi, M and Fayek, A R (2020) Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance. Journal of Construction Engineering and Management, 146(05).
Song, M H and Fischer, M (2020) Generating a Daily Bill of Materials at Level of Development 400 Using the Smallest Workface Boundary. Journal of Construction Engineering and Management, 146(05).
Tomczak, M and JaÅ›kowski, P (2020) New Approach to Improve General Contractor Crew’s Work Continuity in Repetitive Construction Projects. Journal of Construction Engineering and Management, 146(05).
Wondimu, P A, Klakegg, O J, Lohne, J and Lædre, O (2020) Experiences with Best-Value Procurement in Norway and the Netherlands. Journal of Construction Engineering and Management, 146(05).
Yu, T, Liang, X and Wang, Y (2020) Factors Affecting the Utilization of Big Data in Construction Projects. Journal of Construction Engineering and Management, 146(05).
Zhang, X, Li, Y and Wu, D (2020) Developing an Underground Utility Occupation Index for Efficient Urban Utilities Planning. Journal of Construction Engineering and Management, 146(05).