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Provisions for the minimisation of human error are essential through governance structures such as recruitment, human resource allocation and education/training. As predictors of safety attitudes/behaviours, employees’ personality traits (e.g. conscientiousness, sensation-seeking, agreeableness, etc.) have been examined in relation to human error and safety education.

This review aimed to explore research activity on the safety attitudes of healthcare staff and their relationship with the different types of personalities, compared to other complex and highly regulated industries. A scoping review was conducted on five electronic databases on all industrial/work areas from 2001 to July 2023. A total of 60 studies were included in this review.

Studies were categorised as driving/traffic and industrial to draw useful comparisons between healthcare. Certain employees’ personality traits were matched to positive and negative relationships with safety attitudes/behaviours. Results are proposed to be used as a baseline when conducting further relevant research in healthcare.

Only two studies were identified in the healthcare sector.

The necessity for additional research in healthcare and for comparisons to other complex and highly regulated industries has been established. Safety will be enhanced through healthcare governance through personality-based recruitment, human resource allocation and education/training.

This study aims to conduct a systematic review of existing literature on ageism among older informal workers, as most studies have focused on formal work settings. Specifically, it seeks to identify the scope and characteristics of ageism that older informal workers encounter and its influence on their work and well-being.

This paper follows the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) framework to conduct a systematic review. Eleven studies from six databases were included and thematically analysed.

The findings revealed four main themes: the contextual nature of ageism, dimensions of work-related ageism, navigating work-related challenges, and effects on well-being. These themes highlight that, despite being perceived as experienced and reliable, older informal workers face exclusion from work opportunities as they are perceived as unproductive and less capable of acquiring new skills. These negative perceptions significantly impacted their willingness to continue working and overall well-being.

The findings offer an overview of extant research and the direction for future research and policy interventions to address ageism among older informal workers. The findings are crucial for enhancing older workers' quality of life, particularly in low- and middle-income countries, where population ageing is the fastest.

This study is one of the few to systematically explore and evaluate empirical evidence on ageism in the informal work sector. It thus expands existing knowledge and understanding of the phenomenon of ageism in a least explored context.

Algorithmic monitoring has been widely applied to the practice of platform economy as a management means. Despite its benefits, negative effects of algorithmic monitoring are gradually emerging.

Based on moral disengagement theory, this research aims to investigate how algorithmic monitoring might affect gig workers’ attitudes and behaviors. Specifically, we explored the effect of algorithmic monitoring on gig workers’ unethical behavior. A three-wave survey was conducted online, and the sample consisted of 318 responses from Chinese gig workers.

The results revealed that algorithmic monitoring positively affected unethical behavior through displacement of responsibility, and the individualistic orientation of gig workers moderated this relationship. However, the relationship between moral justification and algorithmic monitoring was not significant.

This research contributes to the algorithmic monitoring literature and examines its impact on gig workers’ unethical behavior. By revealing the underlying mechanism and boundary conditions, this research furthers our understanding of the negative influences of algorithmic monitoring and provides practical implications.

Although many health and safety (H&S) studies have widely examined safety risk perception in the construction industry, few studies have explored how this perception influences site workers' risk-taking behaviours during construction. This study aims to examine how construction site workers perceive and judge safety risks in risk-taking behaviours of site workers for intervention safety policy framework that may encourage safe work.

The study employed Pictorial-based Q-Methodology, which documented 63 picture scenarios of risk-taking behaviours from building sites and submitted them for validation from H&S inspectors. In total, 33 pictures emerged as having great potential to cause harm. After using these 33 pictures to elicit data from randomised site workers, the study used Frequency Tabulation, Relative Importance Index (RII) and Kruskal–Wallis Test to analyse the collected data. To fully explain the analysed data for deeper understanding, the study conducted Focus Group Discussions (FGDs) with these site workers to share the thoughts of site workers on these pictures.

Two distinctive pictures emerged from these analyses: one showing risk-taking behaviour likely to contract internal and skin disease and the other likely to fall from height. One of the implications is that construction site workers are unfamiliar with the dangerous contaminants in the materials the site workers use to work, which can potentially harm the site workers' skin and internal organs. Hence, site workers continue engaging in risk-taking behaviours. The other is that site workers are aware of and can mention catastrophic physical injuries attached to site workers' jobs. However, site workers continue engaging in risk-taking behaviours because of site workers' safety plights and rely on the favour and mercies of a supreme being as coping strategies to escape from these physical injuries.

This study is original in that the study uses picture scenarios of risk-taking behaviours to amass an empirical-based understanding of how site workers perceive and respond to H&S risks during construction. This piece of evidence is missing in the numerous research studies in this area. Again, the findings contribute to the state-of-the-art literature regarding risk-taking behaviours on construction sites.

This study advances ethnocentric behaviour research by exploring its impact on individuals' work disengagement in multicultural work settings. Ethnocentrism research focused mainly on consumer ethnocentric behaviour but did not consider the role of employees’ ethnocentric behaviour in the multicultural workplace. This study aims to address this gap by utilizing social identity theory. The authors propose that ethnocentric behaviour has an impact on employee work disengagement and also affects social undermining and workplace conflict as an outcome.

This study used cross-sectional data (N = 326) collected from employees working for Chinese multinational firms in Bangladesh. The authors used Likert-type scale to collect data. To check the hypothesis, the authors employed Hayes' PROCESS macro 4.0v.

The authors found that employee ethnocentric behaviour positively impacts workers' work disengagement. Ethnocentric behaviour positively affects social undermining and workplace conflict, whereas social undermining and workplace conflict partially mediate the indirect effects of ethnocentrism on work disengagement. The authors also found that core self-evaluation (CSE) weakens the indirect impact of ethnocentrism on work disengagement through social undermining and workplace conflict.

The authors recommend that organizations recruit employees with positive CSE and provide cultural sensitivity training to reduce ethnocentrism in the culturally diverse workplace.

This study is a unique effort to examine the influence of employees’ ethnocentric conduct by employing social identity theory in the emerging economy subsidiaries of multinational businesses operating in developing countries. This study also addressed the moderating effect of employees' CSE. This adds a unique dimension to ethnocentrism and employee work disengagement research. The authors have also discussed the future research avenue, theoretical and practical implications in detail.

We studied the relationship between job engagement and systematic problem solving (SPS) among shop-floor employees and how lean production (LP) and Internet of Things (IoT) systems moderate this relationship.

We collected data from a sample of 440 shop floor workers in 101 manufacturing work units across 33 plants. Because our data is nested, we employed a series of multilevel regression models to test the hypotheses. The application of IoT systems within work units was evaluated by our research team through direct observations from on-site visits.

Our findings indicate a positive association between job engagement and SPS. Additionally, we found that the adoption of lean bundles positively moderates this relationship, while, surprisingly, the adoption of IoT systems negatively moderates this relationship. Interestingly, we found that, when the adoption of IoT systems is complemented by a lean management system, workers tend to experience a higher effect on the SPS of their engagement.

One limitation of this research is the reliance on the self-reported data collected from both workers (job engagement, SPS and control variables) and supervisors (lean bundles). Furthermore, our study was conducted in a specific country, Italy, which might have limitations on the generalizability of the results since cross-cultural differences in job engagement and SPS have been documented.

Our findings highlight that employees’ strong engagement in SPS behaviors is shaped by the managerial and technological systems implemented on the shop floor. Specifically, we point out that implementing IoT systems without the appropriate managerial practices can pose challenges to fostering employee engagement and SPS.

This paper provides new insights on how lean and new technologies contribute to the development of learning-to-learn capabilities at the individual level by empirically analyzing the moderating effects of IoT systems and LP on the relationship between job engagement and SPS.

This paper aims to discuss the findings of a study to identify the characteristics of organizations that implement policies and practices to attract and retain older workers.

This exploratory and descriptive research adopts a quantitative approach. The data analyzed were gathered from the database compiled during the 2020 edition of the “FIA – Employee Experience” survey. Notably, it identified the top 100 companies prioritizing investment in human resources policies and practices, awarding the “Amazing Places to Work” prize to those demonstrating the highest indices.

The findings highlight the proactive stance of both national and multinational companies, typically falling within the medium to large size category, in implementing strategies to attract and retain an aging workforce. These companies predominantly employ individuals with high school education and undertake affirmative action, targeting at least four other minority groups alongside older workers.

The insights provided in this article regarding the strategies and initiatives implemented to attract and retain older workers can empower other interested companies to enhance their preparedness in addressing the demographic shift toward an aging Brazilian workforce.

The analysis of the findings contributes to advancing understanding of the relationship between organizations and older workers, an area that remains underexplored in Brazil and worldwide. Furthermore, it furnishes insights into the specific policies and practices adopted by these organizations, equipping interested companies with knowledge to address the challenge of adapting to Brazil’s aging workforce.

Migration is on the rise due to globalization and human mobility. This has led to increased impacts that have affected many industries, including the construction industry. A large number of migrants are employed in the construction sector, and employers are challenged to make sure all employees are properly integrated to meet the demands needed for construction projects. This article addresses key differences between migrant and native workers to help hiring departments in the construction industry analyse workers' attitudes based on cultural and motivational factors to have the workforce they need to succeed.

The research used both quantitative and qualitative surveys. A two-part questionnaire, designed through a comprehensive literature review, was carried out to identify key differences between native and migrant workers. The data were obtained and then analysed using different statistical approaches, including factor analysis protocol, factor structure model, reliability analysis, relative importance index and nonparametric test analysis. A semi-structured interview was then conducted to discuss all the findings.

The study indicated that migrant workers, compared to natives, tend to give more importance to their working environment, particularly accommodation, work safety and relations with teammates. Also, migrants typically take a socialistic approach instead of an individual approach while at work and reveal an extensive range of behaviours based on a sense of belonging. It might be more important for migrants to have a place in society, to have a settled life and to be integrated into an established order than to improve their rights and benefits. On the other hand, the study argued that native workers tend to prioritize their benefits at work, such as regular payments for overtime and insurance premiums. Their behaviours might carry a more neutral and individual attitude as well as specific cultural traces.

The study is limited to a sample of participants in the Turkish construction sector. Further research based on more cultural models and motivational factors with a larger group of respondents from different countries could offer better results. The results of the study might not apply to a broad context due to many other factors that affect worker behaviours, such as geography, cultural structures and working conditions. Despite these drawbacks, the present paper may help employers and other stakeholders understand the best way to incorporate migrants into the construction industry.

This research is very important for the construction industry in various countries that are currently employing thousands of migrants. Being able to address the key differences between migrants and native workers based on cultural and motivational factors might help with engagement and create a level of harmony in the field for greater productivity.

Restaurant and foodservice workers who were formally “essential” throughout the global pandemic were disproportionately subjected to layoffs and furloughs, and are now slowly returning to the industry with expectations of equitable pay and benefits. Given the recent acceleration of the UN’s Sustainability Development Goals and its focus on decent work, the purpose of this study was to determine if restaurant consumers would be willing to pay for decent work that supported the social sustainability of restaurant workers.

Data were collected from 317 restaurant consumers during August 2023. Confirmatory factor analysis was used to validate the Decent Work Scale adapted for consumers. Structural equation modeling was employed to test the full behavioral model of decent work predicting willingness to pay, while bootstrapping was used to test the mediation.

The adapted Decent Work Scale for consumers strongly predicted their willingness to pay through a full mediation of Theory of Planned Behavior constructs (attitude, subjective norm, perceived behavioral control).

This study demonstrated that restaurant consumers were willing to pay for the decent work and social sustainability of restaurant workers. This study validated an adapted Decent Work Scale in the consumer context, whereas prior research utilizing the scale was of worker self-reports of decent work.

The purpose of this paper is to address four interrelated questions: what is the prevalence of ageism amongst employers? What are the factors conditioning employers’ age stereotypes? To what extent are ageist attitudes among employers translated into discriminatory recruitment, retention and firing practices? And what factors can moderate the stereotype–discrimination interaction?

The paper draws on a survey conducted among Danish employers; 2,525 completed the survey questionnaires; response rate 25 per cent.

The major finding is that ageist stereotypes among employers do not translate into discriminatory personnel management practices.

The findings may be specific to Denmark. Denmark is renowned to be a non-hierarchical, egalitarian society, which may have implications for personnel management practices.

Contrary to this study, most studies analysing ageist stereotypes do not assess the extent to which stereotypes are translated into discriminatory personnel management practices in the workplace.