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This study aims to explore the “psychological contract of safety” (PCS), a key factor in the safety climate (SC), which relies on the behavioral safety actions of workers at construction sites. While numerous factors have been identified in various sectors across different countries, there is a consensus among researchers that there is a dearth of common assessment factors specifically for the Indian construction industry (ICI). Therefore, this study undertakes a systematic review of existing literature to identify the factors that determine PCS in construction and to ascertain the relative importance index (RII) of these variables and their interrelationships using structural equation modelling (SEM).

A structured survey was conducted among 420 professionals in the ICI to collect data. This data was then analyzed using descriptive and inferential statistical methods to derive results.

The findings of the study indicate that PCS factors have a significant impact on the construction industry (CI). The inferential analysis ranks “Safety System” as the top factor with the highest RII value. The chi-square results highlight two key SC factors that enhance and regulate an organization’s safety performance. The SEM results reveal that SC factors contribute to the improvement of PCS and influence worker safety behavior.

The outcomes of this study will be beneficial for stakeholders aiming to improve safety at construction sites and enhance safety performance by fulfilling the mutual safety obligations of employers and employees and by improving safety norms, procedures and policy-making. This paper also provides a theoretical framework for scholars to reassess the results in various contexts.

The study investigates the impact of gender and age on the perception of organizational politics among construction professionals in Tamil Nadu, India, a region with unique sociocultural characteristics, which highlights the significance of a diverse, inclusive and equitable workplace.

A self-administered questionnaire was used to collect data from 251 construction professionals. The study focused on three key aspects of organizational politics perception: general political behavior, go along to get ahead and pay and promotion policies. Data were examined using descriptive statistics, the Mann-Whitney U test and regression analysis with the help of SPSS V23.

The study reveals that female professionals in the sample may be more sensitive to go along to get ahead and pay and promotion policies than their male counterparts, particularly those aged 29–38. The study also found significant gender-age interactions in organizational politics perception, with females experiencing a greater impact of age on general political behavior, go along to get ahead and pay and promotion policies.

The findings can help managers and practitioners design better interventions and policies to mitigate the negative effects of organizational politics, improve employee satisfaction and performance and foster a more diverse and fair work culture.

This is one of the first studies to explore the influence of gender and age on organizational politics perception in the construction sector, which is characterized by complexity and diversity. The study contributes to the literature on organizational politics and diversity in the construction industry.

A good workplace well-being (WWB) has many positive impacts on individuals and organizations. Prior studies indicate that physical, psychological and social well-being factors positively influence WWB. Nevertheless, it is essential to acknowledge that these factors may exhibit variations across different regions, cultural contexts and workplace environments. Therefore, this study aims to explore and validate the relationships between physical, psychological and social well-being factors and WWB at construction sites across different regions, using Malaysia and India as case studies.

A conceptual model was proposed between physical, psychological and social well-being factors and WWB at construction sites. Then, a questionnaire survey was developed based on the proposed model and distributed to construction industry practitioners in both countries. In total, 316 responses were collected and analyzed using confirmatory factor analysis and multigroup analysis.

The analyses indicate that the proposed model on physical, psychological and social well-being factors and WWB at construction sites is valid. Also, the model has no significant differences between the two countries. Thus, the findings show that the physical, psychological and social well-being factors are similarly affecting WWB at construction sites in both countries.

The originality of the study lies in its holistic and cross-regional examination of WWB at construction sites. The insights gained from this study provide evidence for promoting good health and well-being in the construction industry. Moreover, this study seeks to provide insights that transcend geographical boundaries, offering valuable implications for promoting WWB practices in construction projects worldwide.

This study aims to empirically analyze the symmetries and asymmetries among the critical factors affecting building information modeling (BIM) implementation between countries with different income levels. To achieve that aim, the study objectives are to identify: critical factors affecting BIM implementation in low-, lower-middle-, upper-middle- and high-income countries; overlapping critical factors between countries with different income levels; and agreements on the critical factors between countries with different income levels.

This study identified potential BIM implementation factors using a systematic literature review and semi-structured interviews with architectural, engineering and construction (AEC) professionals. Then, the factors were inserted into a questionnaire survey and sent to AEC professionals in Afghanistan, India, Malaysia and Saudi Arabia. The collected data was analyzed using the following techniques and tests: mean, standard deviation, normalized value, Kruskal–Wallis, Dunn and Mann–Whitney.

Five critical factors overlap between all countries: “availability of guidelines for implementing BIM,” “cost-benefit of implementing BIM,” “stakeholders’ willingness to learn the BIM method,” “consistent views on BIM between stakeholders” and “existence of standard contracts on liability and risk allocation.” Also, the criticality of the factors often differs between income levels, especially between low- and high-income countries, suggesting a significant gap between low- and high-income countries in BIM implementation.

This study differs from prior works by empirically analyzing the symmetries and asymmetries in BIM implementation factors between countries with different income levels (i.e. low-, lower-middle-, upper-middle- and high-income countries).

More attention should be paid to human resource management practices, as they play a vital role in the retention of the skilled workforce for improved competitive advantage and reduced skill shortage. This study aims to examine the impact of engineers' satisfaction regarding fairness in key human resource management practices such as performance management, compensation and pay, and employee relations on their intention to stay in Indian construction firms.

This research was undertaken using a questionnaire survey conducted among 230 engineers working in Indian construction firms. Data collection was done by using self-administered questionnaires. The quantitative analysis of the collected data was carried out. The constructs involved in the study were validated using factor analysis. The correlation and regression analyses were used to examine the relationship between engineers' satisfaction with fairness in human resource practices and their intention to stay.

Results showed that satisfaction with fairness in human resource practices, such as performance management and employee relations are positively related to engineers' intention to stay, whereas satisfaction with fairness in employee relation practices highly predicts engineers' intention to stay.

This study adds to the body of knowledge by examining the impact of engineers' satisfaction with fairness in human resource practices on their intention to stay in the Indian construction sector, which is an under-researched area. Satisfaction with fairness in employee relation practices is identified as the strongest predictor of engineers' intention to stay. The finding of the research could help construction companies develop human resource practices and policies to promote the retention of construction professionals, particularly engineers, who work for them.

The emergence of artificial intelligence (AI) which operates through technology and digital workspace has proven to transform organisations in recent times. However, there has been key concern over its efficiency among the workforce on how it may replace human intelligence in the contemporary work environment. This study aims to investigate the drawbacks otherwise known as the dark side of AI and its effect on employee quality of work−life and organisational performance through the lens of employee capacity development in reducing its shortcomings.

This study used a descriptive research design using a cross-sectional survey approach to administer the research instrument to 1,847 customer service officers of banks, customer agents of telecoms, customer care of retail organisations in Nigeria business environment across various units were respondents of this study, however, 862 participants were finally used. A simple random strategy was used to survey the study participants, and existing scales were adopted to form a new research instrument. A partial least square (PLS) based structural equation model (SEM) was adapted to analyse the collected data from the respondents.

The outcome of the study indicated that AI lacks creativity and has a negative impact on both employee quality of work−life and overall organisational performance. The outcome of the study demonstrated the drawbacks and the dark sides of AI as lack of emotional intelligence, lack of in-depth contextual knowledge, over-reliance on data quality and lack of ethical and moral decision analysis are the possible dark side of AI which adversely affect quality of work−life and overall performance of the organisations. The study concluded that it is difficult to replace human intelligence because of AI’s drawbacks and dark side. AI cannot function effectively beyond what is programmed in the system.

This study has offered a novel trajectory against the efficiency and possible benefits of AI that people are familiar with. It has changed the understanding of the researchers, policymakers and organisations that AI cannot replace human intelligence in the workplace without improvement on those established AI dark sides.

Proper prediction of productivity can enable the enhanced estimation, realistic scheduling, and accurate cost forecasting of construction processes. Due to the existence of different labor sources (unionized and non-unionized), the prediction of productivity is still a significant problem in India. Moreover, the construction procurement processes and on-site performance are the predominant elements that can result in improved project outcomes. Thereby, the consideration of labor constraints and site conditions will play an important role in productivity improvement.

This study investigates the factors affecting construction site productivity. A total of 28 factors are grouped under 7 categories as follows: labor constraints, safety and quality procurements, material and equipment (ME), site management, project working condition, delay controls, construction methods and techniques, and external factors. Furthermore, by involving these factors, the questionnaire survey was conducted among Indian construction practitioners. As a result, 204 responses were received and the data were analyzed using a reliability test, relative importance index (RII), and analysis of variance (ANOVA).

The result of this study highlighted the importance of strategic construction management activities in terms of effective planning of ME, planning and realistic scheduling of construction activities, proper communication, information sharing, etc. Thus, this study provides a clear insight to the Indian construction practitioners in determining the effect of these site factors on the successful execution of their projects.

In this paper, the problem of construction productivity in India and its causes are explained effectively. This study examines the preference of labor contract, labor source, and most importantly, the factors affecting site productivity. Moreover, the other lagging issues regarding the management of construction activities are also described in detail.

Workforce diversity is essential for success from the perspectives of economic development and intellectual property. However, the construction industry is losing out on these gains due to the low diversity among them. The study aims to identify challenges impeding workforce diversity in construction literature through a mixed review approach.

The study desk reviewed 188 relevant construction peer-reviewed articles and conference papers with no restrictions on the time range. The study adopted the mixed methodology review approach through bibliometric and systematic content analyses.

The study identified 67 challenges and further classified them into 4 broad categories. These were industry-related, organisational-, personal or attitudinal- and health-related challenges. Organisational challenges were the most prevalent challenges of diversity uptake in the construction industry. The publications' most influential sources, countries/regions and annual trends were also discussed.

Classifying the challenges hindering diversity contributes to the existing knowledge base. The framework's interrelationships among categorised barriers will enable construction professionals to make informed decisions in promoting diversity in the industry.

This study has a broad geographical reach, allowing the findings to be widely applicable to the diverse practice of the worldwide construction sector.

Set in the construction industry, this study aims to better understand managers’ work–family conflict (WFC) and their challenges regarding work–family (WF) issues, and to compare site workers’ and managers’ perceptions of work–family balance (WFB) practices in this male-dominated industry.

Using a mixed-method participatory design (qual-QUAN), this study was conducted in Quebec’s (Canada’s) construction industry. Semi-structured interviews with managers (n = 17) and workers (n = 20) were conducted, along with a survey of managers (n = 692) and workers (n = 789).

Triangulation of results shows that managers have significantly higher levels of WFC than workers and that the factors contributing to their WFC are similar (e.g. heavy workload, unsupportive organizational culture). The results suggest a discrepancy between workers’ and managers’ perceptions. While managers report offering a wide variety of WF measures, many of which stem from collective agreements, workers report little use of those measures.

Results highlight the contrast between availability and accessibility of WF measures in the construction industry and question both managers’ and workers’ possible lack of awareness of WFB measures and practices.

These results contribute to the literature by characterizing issues managers themselves face in the construction industry. The study also discusses managers’ support of workers in the context of their own organizational, interpersonal and individual constraints. Finally, this study contributes by paralleling data from managers and workers in the industry regarding WFB measures and policies.

This study aims to analyze the critical factors affecting workplace well-being at construction sites across countries with different income levels. Accordingly, this study’s objectives are to identify: critical factors affecting workplace well-being at construction sites in low-, lower-middle-, upper-middle- and high-income countries, overlapping critical factors across countries with different income levels and agreements on the critical factors across countries with different income levels.

This study identified 19 factors affecting workplace well-being using a systematic literature review and interviews with construction industry professionals. Subsequently, the factors were inserted into a questionnaire survey and distributed among construction industry professionals across Yemen, Zimbabwe, Malaysia and Saudi Arabia, receiving 110, 169, 335 and 193 responses. The collected data were analyzed using descriptive and inferential statistics, including mean, normalized value, overlap analysis and agreement analysis.

This study identified 16 critical factors across all income levels. From those, 3 critical factors overlap across all countries (communication between workers, general safety and health monitoring and timeline of salary payment). Also, 3 critical factors (salary package, working environment and working hours) overlap across low-, low-middle and upper-middle-income countries, and 1 critical factor (project leadership) overlaps across low-middle, upper-middle and high-income countries. The agreements are inclined to be compatible between low- and low-middle-income, and between low- and high-income countries. However, agreements are incompatible across the remaining countries.

This study can serve as a standard for maintaining satisfactory workplace well-being at construction sites.

To the best of the authors’ knowledge, this study is the first attempt to analyze factors affecting workplace well-being at construction sites across countries with different income levels.