Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 20 results ...
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).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001772
- Abstract:
The information transfer process in collaborative projects is dynamic and nonlinear, and the structure of network influences the efficiency and effectiveness of information transfer in a collaborative project network (CPN). The purpose of this study was to explore the dynamic information transfer mechanism in CPNs by simulation method and promote the efficiency and effectiveness of information transfer through network structure adjustment. The collaborative project network information transfer (CPNIT) model was established based on the theories of information theory, agent-based modeling, and social network analysis. The key part of the model is the rules system, which includes four sets: the rules of information dissemination, information absorption, efficiency and effectiveness evaluation, and network structure adjustment strategies. A case study was conducted, including parallel simulation experiments with three scenarios of adjustment strategies. The results showed that the model can accurately present the dynamic processes of information transfer in CPNs, and the structure adjustments were demonstrated to have great effect on the efficiency and effectiveness of information transfer. This study developed the theory of information transfer in collaborative projects from the network perspective and determined the dynamic mechanism of information transfer. The findings also provide decision-making strategies for project managers to improve organizational communication performance that is beneficial to project success.
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).
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).