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Given the cruciality of construction workers' safe behaviors, the possible influential factors on workers' behaviors should be studied, and one of these factors is characteristics. The authors identified emotional intelligence (EI), motivation and job burnout as characteristics that might affect a worker's safety behavior, and the aim of this study is to investigate these possible relationships.

Workers' EI, motivation and job burnout status were assessed by a structured interview. Furthermore, workers' safety behaviors were assessed by a checklist derived from national codes, regulations and other research studies. Then, the researcher's observations took place, and the data were acquired.

EI and motivation of workers were able to predict safety behaviors, and the effect of job burnout on safety behaviors was not significant. In addition, motivation's influence on job burnout was not significant. Therefore, in order to promote safety behaviors, the EI and motivation of workers need to be taken into consideration.

The results indicate why construction managers should consider the workers' EI and motivation competencies and how this consideration could lead to safer and better performance in construction projects.

The possible effects of EI, motivation and job burnout on the safety behaviors of construction workers haven't been paid enough attention. Moreover, the authors couldn't find a study similar to the present one that was conducted in Iran. Also, an original model was presented, and safety behaviors were studied through fieldwork rather than using questionnaires.

Unsafe behavior is a major cause of safety accidents, while in most management measures for unsafe behavior, the construction workers are generally managed as a whole. Therefore, this study aims to propose group management of construction workers' unsafe behavior considering individual characteristics.

A cognitive process model with ten cognitive factors was constructed based on cognitive safety theory. The questionnaire was developed and validated based on the cognitive model, and the results showed that the questionnaire had good reliability and validity, and the cognitive model fitted well. Latent class analysis was used to classify the unsafe behaviors of construction workers.

Four categories of cognitive excellent type, cognitive failure type, no fear type and knowingly offending type were obtained. Workers of cognitive excellent type have good cognitive ability and a small tendency for unsafe behaviors. Workers of cognitive failure type have poor cognitive ability and the potential for cognitive failure in all four cognitive links. Workers of no fear type have weak cognitive ability, and cognitive failure may occur in discovering information and choosing coping links. Workers of knowingly offending type have certain cognitive abilities, but cognitive failure may occur in choosing coping link.

This study formulates targeted management measures according to the potential characteristics of these four types and provides scientific theoretical support for the personalized management of unsafe behavior.

Purpose – The purpose of this paper is to introduce new measures of stereotypical beliefs about older workers' ability and desire for learning and development and test relationships with key antecedents and outcomes. Design/methodology/approach – In a sample of workers over 40 years of age from across the US workforce, a two‐wave survey study was unique in that it examined stereotypes held by aging workers themselves in relation to their own behavior. Findings – The psychometric qualities of the scales were positive and findings tied the stereotype measures to important outcome constructs involving retirement, interest in development, and self‐efficacy/concept for development. Relationships of the stereotype measures also existed with antecedent variables, including experience with the stereotyped behavior and general beliefs about changes with aging. Research limitations/implications – These are critical constructs for managerial psychology in the coming decades, and the findings and measures presented here can contribute to future research, not only on older workers themselves but also on younger workers' stereotypes and behavior toward older workers, which were not addressed here. Practical implications – The measures can be used as diagnostic tools and the findings offer potential ideas for organizational policy or interventions to target stereotypes. Originality/value – Because employee development is increasingly important and the workforce is rapidly aging, there is a need to understand development behavior by aging workers. While stereotypes can be a problem in this area, there is a lack of measures of these stereotypes and there is no research on the stereotypes by aging workers themselves.

Neglecting to wear a safety helmet can result in serious injuries at construction sites, but the cause of such unsafe behavior has not been fully understood. Therefore, the purpose of this paper is to provide a means of systematically understanding on the causes of non-helmet use behaviors at construction sites.

This paper utilizes the system dynamics (SD) modeling to portray the construction system works at project, management and individual levels to understand the relative importance of safety climate and productivity pressures. A real-time helmet use behavior tracking system (the Eye on Project (EOP)) is developed to provide an objective record of helmet use practices. Using the data collected from the EOP, the proposed SD model can be calibrated to simulate the influence of safety climate and productivity pressures on the non-helmet use behaviors of construction workers.

The data collected from 91 responses through the questionnaire survey were utilized to develop the SD model, which consists of two balancing loops and two reinforced loops. The mean absolute percentage error is further used to evaluate the model. The results show that a positive safety climate significantly reduced the rate of non-helmet use behavior.

This study divided the primary contributors of non-helmet use behavior into three levels for the SD model development. The SD model can be used to develop policies for mitigating helmet misuse, which in turn improves the safety performance of construction sites.

Quality empowering management is to the future of renewed worldwide competitiveness what quality control, participative management programmes and zero defects were to quality improvement. Empowerment holds that promoting employee involvement empowers workers to perform as whole, thinking human beings. Empowerment is the glue by which the elements of customer focus, quality process and products, continuous improvements, self‐managing teams, quality measurement, and utilization of the total workforce abilities are held together. Self‐managing teams are one of the major keys in the innovative organization to solving complex problems, increasing productivity, and heightening creativity. For most organizations and managers, quality empowering management is a new responsibility and a radical change in style of management and change in culture requiring new methods and systems.

Learning as the way in which labor acquire new knowledge and skills has important strategic implications for the competitive advantage of an organization. The purpose of this paper is to present an agent-based modeling (ABM) approach to investigate the learning behavior of workers. The effect of interactions among different workers as well as the factors affecting the workers’ learning behavior is assessed using the proposed ABM approach.

For this purpose, the processes through which the competency value of worker is changed are understood and the workers’ learning behavior is modeled, taking account of various influencing factors such as knowledge flow, social ability to teach and forgetting factor.

The proposed model is implemented on a real steel structure project to evaluate its applicability and performance. The variation in the competency value of different workers involved in the project is simulated over time taking account of all the influencing factors using the proposed ABM approach.

In order to assess the effect of interactions among welders as well as the welders’ characteristics on their learning behavior, the competence value of different welders is evaluated.

This research presents an ABM approach to investigate the workers’ learning behavior. To evaluate the performance of the proposed ABM approach, it was implemented on a real steel structure project. The learning behavior of different welders (agents) was simulated taking account of their interactions as well as the factors affecting the welders’ learning behavior. The project involved the welding of a 240-ton steel structure. The initial project duration was estimated as 100 days. In this project, it has been planned to execute the welding process using three different welders namely welder A, B and C.

Companies are being encouraged to adopt a positive organisational safety culture in order to safeguard their operations against accidents. The viability of a positive safety culture within the context of a diverse workforce, characterised by a reduced number of permanent employees, supplemented with more contingent and contract workers, is considered. This review summarises theoretical and empirical evidence of the likely effects of changing employment arrangements on safety attitudes and behaviours, and implications for organisational safety culture. It is argued that it will be more difficult to integrate employees with diverse working arrangements, compared to a workforce of permanent employees, into a corporate safety culture. Human resource management techniques and practices are identified as ways of developing and maintaining positive safety attitudes across all types of employees. The need for further empirical work is discussed.

In a country like Saudi Arabia, where the construction industry is witnessing an impressive growth in the post-oil era, it is important to examine the occupational health and safety behaviors of construction workers (CWs).

The present study aims to investigate the impact of emotional intelligence (EI) on workers' stress and safety behaviors. Data were collected from CWs (n = 265) at a major construction site in the city of Jeddah. Two questionnaires comprising 25 and 32 questions were used to measure their EI and stress levels, respectively. Furthermore, structured interviews were conducted with the managers and supervisors to inquire about the safety behavior of their respective workers. Descriptive statistics, simple and companion regression were used for data analysis.

The findings indicate that EI plays an important role to enhance the safety behaviors of the CWs besides reducing their workplace stresses. Furthermore, workers' stress levels are found to negatively impact their safety behaviors, indicating that any reduction in occupational stress can reciprocally enhance their safety compliance. The findings are further discussed with the concerned stakeholders to recommend a seven-point therapeutic role of EI for the safety of CWs.

Results of the study can be used by managers and supervisors of the Saudi construction industry to reduce workplace accidents and improve the productivity of their organizations.

The deviant behavior (DB) of construction workers has always been a troubling event in project management. Although scholars continue to search for the main causes of this behavior to curb it at the source, the authors know less about the role and contribution of the team. This study aims to uncover the mechanisms and conditions under which collective moral judgment focus on self (CMJS) effectively enhances DB.

Adopting Chinese construction enterprises as samples, a hierarchical linear model (HLM) is used to test the results of the hypothesis. Moderated mediating effects are used to analyze the potential mechanisms and boundary conditions of DB.

The results of the HLM analysis show that CMJS could directly and significantly induce DB, and moral disengagement (MD) plays a mediator role in this association. In addition, the positive relationship between MD and DB is stronger when performance-avoidance goal orientation (PaGO) or overqualification (Overq) is higher.

The conditions and mechanisms that influence DB are not unique. Future study could examine the explanatory and weighting mechanisms of DB from other perspectives or to construct a framework and summarize the factors that may influence DB.

This study provides a rich theoretical basis for the prevention and correction of construction workers' DB in Chinese construction firms from the perspective of CMJS. In addition, objective moral judgments contribute to guiding employees' moral cognitive processes and positive work.

This study extends existing research on DB and advances the practical outcomes of construction project governance. It not only illustrates that CMJS has a direct impact on DB but also clarifies the mechanisms and conditions that predispose to the generation of DB, filling the research gap on construction workers' DB from cross-level mechanisms and also enriching the theoretical system for preventing this behavior.

This chapter presents a theoretical framework of the industrial relations (IR) system in China’s coal mining industry, combining the roles of management organizations, workers, and trade unions, as well as government agencies. It is one of the first empirical attempts to investigate the relationship between human resource (HR) practices, labor relations, and occupational safety in China’s coal mining industry over the past 60 years, based on the secondary data on coal mining accidents and case studies of two state-owned coal mines in a northern city in Anhui Province, China. The fluctuating occupational safety has been affected by government regulations over different time spans, marked by key political agendas, and by coal mining firms taking concrete measures to respond to these regulations, while exhibiting differing safety performance in state-owned versus township-and-village-owned mines. The field studies compared a safety-oriented to a cost-control-oriented HR and labor relations system, and their influences on safety performance. Coal mining firms and practitioners are advised to shift the traditional personnel management paradigm to a modern HR management system. In addition, although workers are often blamed directly for accidents, it is suggested that workers’ participation and voice in various processes of decision-making and policy implementation, and trade unions’ active involvement in protecting workers from occupational hazards, be encouraged.