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Gerassis, S, Martín, J E, García, J T, Saavedra, A and Taboada, J (2017) Bayesian Decision Tool for the Analysis of Occupational Accidents in the Construction of Embankments. Journal of Construction Engineering and Management, 143(02).

Guo, B H W, Yiu, T W, González, V A and Goh, Y M (2017) Using a Pressure-State-Practice Model to Develop Safety Leading Indicators for Construction Projects. Journal of Construction Engineering and Management, 143(02).

Hanna, A S, Mikhail, G and Iskandar, K A (2017) State of Prefab Practice in the Electrical Construction Industry: Qualitative Assessment. Journal of Construction Engineering and Management, 143(02).

Kadry, M, Osman, H and Georgy, M (2017) Causes of Construction Delays in Countries with High Geopolitical Risks. Journal of Construction Engineering and Management, 143(02).

Kim, H, Ahn, C R and Yang, K (2017) Identifying Safety Hazards Using Collective Bodily Responses of Workers. Journal of Construction Engineering and Management, 143(02).

Love, P E D, Veli, S, Davis, P, Teo, P and Morrison, J (2017) {[}See the Difference{]} in a Precast Facility: Changing Mindsets with an Experiential Safety Program. Journal of Construction Engineering and Management, 143(02).

Ng, A W Y and Chan, A H S (2017) Mental Models of Construction Workers for Safety-Sign Representation. Journal of Construction Engineering and Management, 143(02).

Olaniran, O J, Love, P E D, Edwards, D J, Olatunji, O and Matthews, J (2017) Chaos Theory: Implications for Cost Overrun Research in Hydrocarbon Megaprojects. Journal of Construction Engineering and Management, 143(02).

Park, J, Kim, K and Cho, Y K (2017) Framework of Automated Construction-Safety Monitoring Using Cloud-Enabled BIM and BLE Mobile Tracking Sensors. Journal of Construction Engineering and Management, 143(02).

Park, Y, Gwak, H and Lee, D (2017) Dozer Workability Estimation Method for Economic Dozing. Journal of Construction Engineering and Management, 143(02).

Wang, C, Mohd-Rahim, F A, Chan, Y Y and Abdul-Rahman, H (2017) Fuzzy Mapping on Psychological Disorders in Construction Management. Journal of Construction Engineering and Management, 143(02).

  • Type: Journal Article
  • Keywords: Psychological disorder; Depression; Generalized anxiety disorder; Obsessive-compulsive disorder; Substance use disorders; Acrophobia; Claustrophobia; Labor and personnel issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001217
  • Abstract:
    Work-related stress in construction management can trigger impairment to employees’ psychological health, and thus affect project performance, but psychological disorders’ deleterious consequences on project performance have not received sufficient attention in the literature. This study aims to identify different types of psychological disorders in construction projects and to develop a fuzzy mapping to determine the impact of psychological disorders in the context of time, cost, and quality in construction management. Through a questionnaire survey assisted by pair-wise comparison among experienced construction personnel, the six most common psychological disorders, including depression, generalized anxiety disorders (GAD), obsessive-compulsive disorders (OCD), substance use disorders (SUD), acrophobia, and claustrophobia, were analyzed using principal component analysis (PCA), partial least-square (PLS) tests, and fuzzy analytic hierarchy process (fuzzy-AHP), and followed by visualization. Although various stressors such as work overload, role ambiguity and conflict, unpaid overtime, restrictive career progression, and the diverse range of personalities are common in construction management, different roles and positions are subjected to different levels of stress, which from high to low are project manager, civil engineer, architect, contractor, quantity surveyor, and mechanical and electrical (M&E) engineer. This research developed fuzzy mapping of psychological disorders in the context of project performance, which is useful for project management teams to reveal and tackle mental health problems in early stages.

Zhong, Y, Ling, F Y Y and Wu, P (2017) Using Multiple Attribute Value Technique for the Selection of Structural Frame Material to Achieve Sustainability and Constructability. Journal of Construction Engineering and Management, 143(02).