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Abediniangerabi, B, Shahandashti, S M, Ahmadi, N and Ashuri, B (2017) Empirical Investigation of Temporal Association between Architecture Billings Index and Construction Spending Using Time-Series Methods. Journal of Construction Engineering and Management, 143(10).

Barbachyn, S M, Devine, R D, Thrall, A P and Kurama, Y C (2017) Economic Evaluation of High-Strength Materials in Stocky Reinforced Concrete Shear Walls. Journal of Construction Engineering and Management, 143(10).

D’Onofrio, R M (2017) CPM Scheduling: A 60-Year History. Journal of Construction Engineering and Management, 143(10).

Gurmu, A T and Aibinu, A A (2017) Construction Equipment Management Practices for Improving Labor Productivity in Multistory Building Construction Projects. Journal of Construction Engineering and Management, 143(10).

Hanna, A S and Iskandar, K A (2017) Quantifying and Modeling the Cumulative Impact of Change Orders. Journal of Construction Engineering and Management, 143(10).

Hasanzadeh, S, Esmaeili, B and Dodd, M D (2017) Impact of Construction Workers’ Hazard Identification Skills on Their Visual Attention. Journal of Construction Engineering and Management, 143(10).

Hyari, K H, Shatarat, N and Khalafallah, A (2017) Handling Risks of Quantity Variations in Unit-Price Contracts. Journal of Construction Engineering and Management, 143(10).

Kamardeen, I and Sunindijo, R Y (2017) Personal Characteristics Moderate Work Stress in Construction Professionals. Journal of Construction Engineering and Management, 143(10).

Mani, N, Kisi, K P, Rojas, E M and Foster, E T (2017) Estimating Construction Labor Productivity Frontier: Pilot Study. Journal of Construction Engineering and Management, 143(10).

Park, J, Cai, H, Dunston, P S and Ghasemkhani, H (2017) Database-Supported and Web-Based Visualization for Daily 4D BIM. Journal of Construction Engineering and Management, 143(10).

Sunindijo, R Y and Kamardeen, I (2017) Work Stress Is a Threat to Gender Diversity in the Construction Industry. Journal of Construction Engineering and Management, 143(10).

  • Type: Journal Article
  • Keywords: Australia; Construction professionals; Gender diversity; Work health safety and well-being; Work stress; Labor and personnel issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001387
  • Abstract:
    The construction industry is missing out on numerous performance gains derived from gender diversity. Its reputation for excessive work stress, resulting in poor psychological health, is among the reasons for women not entering the industry or for them leaving the industry prematurely. Using an online questionnaire survey, this research investigated whether women professionals in the construction industry differ from their men colleagues in the stressors faced at work and the degree of work-related psychological injuries suffered. The respondents comprised 167 men and 110 women professionals working in the Australian construction industry. The results reveal that: (1) women professionals suffer more anxiety and acute stress symptoms than men professionals, but no significant difference is apparent between the genders in the level of depression suffered; (2) the top 10 stressors at work facing construction professionals are the same for both genders, with time pressure, excessive workload, long work hours, and unpleasant work environment being the critical issues; and (3) women professionals experience more discrimination, bullying, and sexual harassment. The research contributes to practice by identifying aspects that need improvements for making the construction industry gender diverse and sociopsychologically sustainable.

Tuchman, J L (2017) Why Journalism Matters. Journal of Construction Engineering and Management, 143(10).

Umer, W, Li, H, Szeto, G P Y and Wong, A Y L (2017) Low-Cost Ergonomic Intervention for Mitigating Physical and Subjective Discomfort during Manual Rebar Tying. Journal of Construction Engineering and Management, 143(10).

Zhang, Y, Minchin, R E and Agdas, D (2017) Forecasting Completed Cost of Highway Construction Projects Using LASSO Regularized Regression. Journal of Construction Engineering and Management, 143(10).