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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).

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).

  • Type: Journal Article
  • Keywords: career advancement; career development; career stage; women
  • ISBN/ISSN: 0733-9364
  • URL: http://doi.org/10.1061/JCEMD4.COENG-14644
  • Abstract:
    Despite efforts to promote gender diversity, the construction industry in Australia remains one of the most male-dominated industries. Women, compared to their male counterparts, progress more slowly and encounter major obstacles to career development in the construction industry. Existing research tends to focus on broad factors that impact women's career development in all career stages despite the fact that women's career priorities often change as they progress through different career stages. This study applied Super's career development model to investigate the influential factors on women's career development across four career stages: explore (precareer), establishment (early career), midcareer, and late career. By conducting a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, this research identified influential factors related to women's career development in the construction industry, namely, attitude, capability, interest, past experiences, family responsibilities, parental influences, role models, support, culture, organizational practice, and policies and regulations. Based on the women's empowerment framework, the identified factors were coded and synthesized into three dimensions: individual, relational, and environmental. The research finds there is a significant focus on providing relational and environmental support to women in construction, and less attention is given to individual factors. The review revealed that personal interest and parental perceptions in construction influence women's career development in precareer and early career stages, while masculine culture significantly impacts women's career development in all career stages. This study also summarizes the theoretical contributions and practical implications drawn from existing research on different stages of women's career development and provides guidance for further research.