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Ahmadi, S Y; Lather, J I; Wittich, C E; Madson, K (2025) Current and future trends for resilient inland waterway transportation systems during flood disruptions. Journal of Construction Engineering and Management, 151(6).
Chammout, B; El-Adaway, I H (2025) Circular economy in construction: Decision-making factors and future research avenues. Journal of Construction Engineering and Management, 151(6).
Chen, G; Yan, Z; Hao, Y; Li, Q; Tian, Y (2025) BIM value creation through collaboration in construction projects: An empirical model with multiple collaborative behaviors. Journal of Construction Engineering and Management, 151(6).
Ejidike, C C; Mewomo, M C; Olawumi, T O; Wang, S; Buniya, M K (2025) Barriers to the adoption of smart building technology in developing countries: An empirical survey. Journal of Construction Engineering and Management, 151(6).
Ghosh, B; Karmakar, S (2025) Development and application of a digitalized construction quality document management system for advanced construction using building information modeling. Journal of Construction Engineering and Management, 151(6).
Guha, P; Kar, S; Jha, K N (2025) A framework to assess leadership quality of construction leaders. Journal of Construction Engineering and Management, 151(6).
- Type: Journal Article
- Keywords: analytic network process; cluster analysis; construction leadership; leadership quality index
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-15366
- Abstract:
Efficient construction companies rely significantly on competent leadership, specifically construction managers or project leaders who are actively involved in construction sites. However, assessing the efficacy of leadership can be challenging. Studies focusing on the development of a methodical technique to evaluate construction executives' leadership qualities objectively are limited. Thus, the goal of this study was to create a framework for evaluating the caliber of leadership. Creating the leadership quality index (LQI) took into account the weights and relationships between the important leadership parameters. Five essential factors for construction leadership were found in this study: resilience, emotional quotient, spiritual quotient, democratic leadership, and flow state. The weights of these factors were determined using the analytic network process (ANP). The emotional quotient was found to be the most significant factor, followed by the spiritual quotient, resilience, democratic leadership, and flow state. These findings demonstrate how intricate the dynamics of leadership are in the construction industry. Based on the established weights and the corresponding scores on the leadership factors of 256 construction leaders, the LQI was evaluated. Additionally, the study created three unique clusters within the leadership landscape: top-quality, moderate-quality, and low-quality leaders based on the LQI values and using a two-step cluster analysis technique. With a subtler perspective on leadership quality in the construction industry, this study provides insights for tailoring leadership development programs and guiding strategic decision-making in leaders' selection. It outlines practical steps and methodologies that organizations can implement to enhance leadership effectiveness, ultimately contributing to improved project outcomes and organizational success in the construction sector.
Jin, H; Chan, M; Bai, Y (2025) Joint optimization of critical concession parameters for sustainable PPP contracts. Journal of Construction Engineering and Management, 151(6).
Karam, A H (2003) Marketing and architects in South Africa. Engineering, Construction and Architectural Management, 10(6), 402–12.
Liao, L; Gan, C; Yang, J; Liang, Y (2025) Impacts of safety capacity and personalized safety training on construction workers' hazard recognition using eye-tracking technology. Journal of Construction Engineering and Management, 151(6).
Ling, F Y Y; Sim, W X L (2025) Mediating role of vocational interest in the relationship between personality and job satisfaction: Insights from cost engineers. Journal of Construction Engineering and Management, 151(6).
Liu, J; Li, J; Guo, D; Cui, Q; Yang, L; Wu, H (2025) Reliability evaluation of a shield tunnel waterproofing system in the life cycle stage based on a combination weighting method and cloud model. Journal of Construction Engineering and Management, 151(6).
Liu, J; Li, W; Li, F; Zhao, X (2025) Chinese named entity recognition for bridge damage and defects based on text mining and natural language pretraining models. Journal of Construction Engineering and Management, 151(6).
Müller, C C; Elzomor, M (2025) Fostering a sustainable built environment by preparing a construction engineering workforce with sustainability key performance indicators. Journal of Construction Engineering and Management, 151(6).
Mehdipoor, A; Iordanova, I; Al-Hussein, M (2025) Enhancing the manufacturing process in light-gauge steel off-site construction using semiautomation. Journal of Construction Engineering and Management, 151(6).
Mohammadi, P; Asgari, S; Rashidi, A; Alder, R (2025) Culvert inspection framework using hybrid xgboost and risk-based prioritization: Utah case study. Journal of Construction Engineering and Management, 151(6).
Mollaei, A; Bachmann, C; Haas, C (2025) Evaluating the potential impact of building design strategies on material recovery during deconstruction. Journal of Construction Engineering and Management, 151(6).
Palaneeswaran, E, Kumaraswamy, M and Ng, T (2003) Targeting optimum value in public sector projects through "best value"-focused contractor selection. Engineering, Construction and Architectural Management, 10(6), 418–31.
Radzi, A R; Azmi, N F; Kamaruzzaman, S N; Rahman, R A (2025) Modeling the critical assessment criteria for construction readiness of BIM-based projects: PLS-SEM approach. Journal of Construction Engineering and Management, 151(6).
Salary, S; Reyes, M (2025) Identifying the impact of preconstruction elements on project budget. Journal of Construction Engineering and Management, 151(6).
Salem, M; Abdullah, M S; Islam, M S; Said, S O (2025) Subcontractors' BIM deployment in large-scale construction projects in the mena region. Journal of Construction Engineering and Management, 151(6).
Shehadeh, A; Alshboul, O; Tamimi, M (2025) Quantitative analysis of climate-adaptive pavement technologies: Mitigating environmental impact and enhancing economic viability in urban infrastructure. Journal of Construction Engineering and Management, 151(6).
Shin, Y J; Farrokh, E; Jung, J; Kang, H (2025) Optimizing tunnel boring machine operations in real time within defined constraints. Journal of Construction Engineering and Management, 151(6).
Sun, J; Murphy, M R; Hazlett, D G; Shuai, C; Gao, L (2025) Simulation-based framework for predicting construction workforce demand: A comparative analysis with multivariate LSTM-based seq2seq model. Journal of Construction Engineering and Management, 151(6).
Utkucu, D; Sözer, H (2025) Modeling a mixed-mode cooling system with correlation to operable building facade openings: Mathematical logic integration of computational fluid dynamics and energy models. Journal of Construction Engineering and Management, 151(6).
Wang, P; Wang, K; Huang, Y; Fenn, P (2025) Probability, formation, and prediction of large-size construction cost overruns governed by a power-law distribution. Journal of Construction Engineering and Management, 151(6).
Wang, R; Gong, D (2025) Abnormal behavior recognition algorithm in small sample scenarios for a utility tunnel project based on dcgan. Journal of Construction Engineering and Management, 151(6).
Yang, X; Wang, S; Jiang, Y; Wang, L; Li, P; Wang, S (2025) Theoretical and experimental analysis of stress variations in precast concrete segment linings during double-shield TBM excavation of subway tunnels. Journal of Construction Engineering and Management, 151(6).
Yao, Z; Chen, Z; Lee, Y (2025) A construction site layout planning study for dust reduction. Journal of Construction Engineering and Management, 151(6).
Zhan, H; Hwang, B G; Jabbar, S B B A (2025) An integrated approach to assessing digitalization of integrated digital delivery projects. Journal of Construction Engineering and Management, 151(6).
Zhang, M; Liu, X; Li, Y (2025) Identity-based proactive human intrusion management in hazardous areas at construction sites: A deep learning-based method. Journal of Construction Engineering and Management, 151(6).
Zong, Z; Su, S; Diao, L; Ou, Y; Long, T (2025) Relationship between perceived occupational stigma and safety behavior of construction workers: Moderated mediation model. Journal of Construction Engineering and Management, 151(6).