Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 25 results ...
Aliasgari, R, Fan, C, Li, X, Golabchi, A and Hamzeh, F (2024) MOCAP and ai-based automated physical demand analysis for workplace safety. Journal of Construction Engineering and Management, 150(07).
Chae, J, Hwang, S and Kang, Y (2024) Measuring habituation to auditory warnings using behavioral and physiological data. Journal of Construction Engineering and Management, 150(07).
Chen, H and Chan, I Y S (2024) Effects of automation and transparency on human psychophysiological states and perceived system performance in construction safety automation: An electroencephalography experiment. Journal of Construction Engineering and Management, 150(07).
Dahalan, N H, Rahman, R A, Hassan, S H and Ahmad, S W (2024) Public assessment for environmental management plan implementation: Comparative study of performance indicators of road and highway construction projects. Journal of Construction Engineering and Management, 150(07).
Deep, S, Sonkar, N, Yadav, P, Vishnoi, S, Bhoola, V and Kumar, A (2024) Factors influencing the mental health of white-collar construction workers in developing economies: Analytical study during the COVID-19 pandemic in India. Journal of Construction Engineering and Management, 150(07).
Deng, S, Ni, P, Zhu, H, Cai, Y and Pan, Y (2024) Artificial cognition to predict and explain the potential unsafe behaviors of construction workers. Journal of Construction Engineering and Management, 150(07).
Eliwa, H K, Jelodar, M B, Poshdar, M and Zavvari, A (2024) Organizational infrastructure and information and communication technology infrastructure alignment in construction organizations. Journal of Construction Engineering and Management, 150(07).
Flores, M and Mourgues, C (2024) Impact of using a formalized methodology for conflict detection based on 4D-BIM. Journal of Construction Engineering and Management, 150(07).
Huang, H, Hu, H, Xu, F and Zhang, Z (2024) Kinesiology-inspired assessment of intrusion risk based on human motion features. Journal of Construction Engineering and Management, 150(07).
King Lewis, A and Shan, Y (2024) Persistence of women in the construction industry. Journal of Construction Engineering and Management, 150(07).
Lei, T, Seo, J, Liang, K, Xu, J, Li, H, Zhou, Y, Khan, M and Heung, K H (2024) Lightweight active soft back exosuit for construction workers in lifting tasks. Journal of Construction Engineering and Management, 150(07).
Li, C Z, Wen, S, Yi, W, Wu, H and Tam, V W Y (2024) Offsite construction supply chain challenges: An integrated overview. Journal of Construction Engineering and Management, 150(07).
Liu, C, González, V A, Lee, G, Cabrera-Guerrero, G, Zou, Y and Davies, R (2024) Integrating the last planner system and immersive virtual reality: Exploring the social mechanisms produced by using LPS in projects. Journal of Construction Engineering and Management, 150(07).
Ma, Z, Liu, W, Li, C, Sang, Y, Zhang, Y, Li, G and Xu, Y (2024) Research on energy-saving control strategy of loader based on intelligent identification of working stages. Journal of Construction Engineering and Management, 150(07).
Naji, K K, Gunduz, M and Mansour, M M (2024) Development of an integrated hybrid risk assessment system for construction disputes during the preconstruction phase using the Delphi method. Journal of Construction Engineering and Management, 150(07).
Qin, L, He, Q, Fu, X, Wang, Y and Wang, G (2024) Peer effects on corporate social responsibility engagement of Chinese construction firms through board interlocking ties. Journal of Construction Engineering and Management, 150(07).
Shrestha, S, Shan, Y and Goodrum, P M (2024) Identification of best practices in project bundling for state dots using semistructured interviews. Journal of Construction Engineering and Management, 150(07).
Song, S H, Choi, J O and Cho, H (2024) Transportation-induced impact on a prefinished volumetric modular house using trailer bogie: Case study. Journal of Construction Engineering and Management, 150(07).
Tan, Y, Deng, T, Zhou, J and Zhou, Z (2024) Lidar-based automatic pavement distress detection and management using deep learning and BIM. Journal of Construction Engineering and Management, 150(07).
Tran, H, Robert, D, Gunarathna, P and Setunge, S (2024) Estimating cost of bridge closure for bridge network rehabilitation priorities. Journal of Construction Engineering and Management, 150(07).
Wei, F, Hwang, B G, Zainal, N S B and Zhu, H (2024) Trust, team effectiveness, and strategies: A comparative study between virtual and face-to-face teams. Journal of Construction Engineering and Management, 150(07).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14522
- Abstract:
The COVID-19 pandemic has led to widespread implementation of virtual teams (VTs) in the built environment industry, transitioning the industry to virtualization. However, to our best knowledge, studies are limited on trust-building and team effectiveness of VTs compared with traditional face-to-face teams (TFTs). As such, this research aims to: 1) investigate the differences in factors affecting trust and levels of team effectiveness between VTs and TFTs; and 2) propose strategies that can effectively develop trust in VTs. To achieve these objectives, trust-influencing factors were identified under cognitive and affective dimensions through comprehensive literature reviews. Additionally, team effectiveness was assessed based on team performance and team satisfaction, followed by a structured questionnaire survey validated by experts to identify the significant factors affecting trust-building, to evaluate levels of team effectiveness in VTs and TFTs, and to assess feasible strategies to develop trust in VTs. Moreover, interviews with industry experts were conducted to validate the survey results. The results showed that the most significant factors affecting trust were competence, integrity, and relation in VTs and TFTs, although these factors showed different relative importance. Further, the factors affecting VTs were more affective-based and less cognitive-based than TFTs. In terms of effectiveness, the result showed that VTs had a higher team performance level, while their team satisfaction levels were lower than TFTs. The top-three strategies that could assist trust-building in VTs were proved to be sharing of personal interest and information, ice-breaker exercises, and face-to-face meetings when possible. The findings of this study can serve as a guide to improve the trust and effectiveness of VTs in the built environment industry, providing a valuable reference for organizations moving toward more digitalization and virtualization of their team meetings.
Wu, J, Ye, Y and Du, J (2024) Autonomous drones in urban navigation: Autoencoder learning fusion for aerodynamics. Journal of Construction Engineering and Management, 150(07).
Xia, X, Xiang, P, Khanmohammadi, S, Gao, T and Arashpour, M (2024) Predicting safety accident costs in construction projects using ensemble data-driven models. Journal of Construction Engineering and Management, 150(07).
Xiang, Q, Liu, Y, Goh, Y M, Ye, G and Safiena, S (2024) Investigating the impact of hazard perception failure on construction workers' unsafe behavior: An eye-tracking and thinking-aloud approach. Journal of Construction Engineering and Management, 150(07).
Yan, D, Wang, C C and Sunindijo, R Y (2024) Framework for promoting women's career development across career stages in the construction industry. Journal of Construction Engineering and Management, 150(07).