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Young construction project management practitioners (CPMPs) have unique, complex, and notable occupational mental health problems. However, there were few studies about the intervention for occupational mental health of CPMPs, and traditional intervention modes often failed to achieve significant effects. Therefore, this study aims to propose a new and effective intervention method.

Job crafting intervention was used to design an intervention experiment. A total of 72 CPMPs participated in a 10-week randomized controlled trial in China. Descriptive statistics and repeated measures analysis of variance were used to verify the effectiveness of job crafting intervention (JCI) on job crafting behaviors, job burnout, and work engagement with consideration of the impact of time.

Results showed that the intervention increased social resources, thus effectively reducing job burnout and promoting work engagement. Time also had a significant impact on cynicism, dedication, and social resources.

The authors should promote the habit of job crafting in CPMPs. Furthermore, in order to facilitate their job crafting, the authors should increase structural and social resources for them, and the authors can also encourage them to undertake challenging demands to increase their self-efficacy and the sense of achievement.

The authors bring into light a new psychological intervention approach among CPMPs, which integrates the advantages of the guidance in traditional organized intervention methods and the proactivity in individual spontaneous job crafting. The authors verify the efficacy of the JCI among CPMPs and help propose countermeasures and suggestions to improve the occupational mental health of CPMPs.

This study aims to examine the role of location autonomy (i.e. autonomy over where to work) in shaping employee mental distress during their working days.

A total of 316 employees from 6 organizations in the UK provided data for 4,082 half-day sessions, over 10 working days. Random intercept modeling is used to analyze half-day data nested within individuals.

Results show that location autonomy, beyond decision-making autonomy and work-method autonomy, is positively associated with the perception of task-environment (TE) fit which, in turn, contributes to lower mental distress during each half-day session. Results of supplementary analysis also show that location autonomy can contribute to higher absorption, task proficiency and job satisfaction via TE fit during each half-day session.

This study reveals the importance and uniqueness of location autonomy in shaping employees' outcomes, offering implications for how organizations can use this in the work–life flexibility policies to support employee mental health.

The purpose of this study was to develop and test a research model that explored leader psychological capital (LPsyCap) as a predictor of follower creative performance (FCRP). The model also investigated follower job crafting (FJC) and follower knowledge collecting (FKC) and follower knowledge donating (FKD) behaviors as the multiple mediators of the trickle-down effect of LPsyCap on FCRP in a sequential manner.

Data were obtained from hotel employees in Korea. The hypotheses were tested using structural equation modeling with the user-defined estimands function.

LPsyCap boosted employees’ FCRP. FJC and FKC behaviors mediated the trickle-down effect of LPsyCap on FCRP in a sequential manner. As predicted, FKC behavior parallelly mediated the effect of FJC on FCRP.

Hotel firms should boost a workplace that would encourage employees to redefine and redesign their jobs. To achieve this, the presence of structural (e.g. learning new things in the workplace) and social (e.g. supervisor coaching) job resources and challenging job demands (e.g. willingly taking on additional tasks) would pay dividends.

This paper is one of its kind focusing on unexplored parallel and sequential multiple mediation effects that highlight FJC and FKC as the two potential mediators in the association between LPsyCap and FCRP.

Recently, physical crafting has been found to positively affect emotional exhaustion through workload. However, the role of cognitive crafting in this process remains unexamined. To address this research gap, this study examined the relationship between cognitive crafting and emotional exhaustion, as well as whether cognitive crafting moderates the positive indirect effects of physical crafting on emotional exhaustion through workload.

The data were collected through an Internet survey conducted with 2,143 Japanese employees, and path regression analysis was conducted to analyze the data.

The results show that cognitive crafting was negatively correlated with emotional exhaustion, weakened the relationship between workload and emotional exhaustion and weakened the indirect effects of physical crafting on emotional exhaustion.

The practical implications of these findings suggest that practitioners should encourage the improvement of cognitive crafting. Implementation of job crafting interventions and customer participation could be effective in enhancing cognitive crafting.

The study provides a deeper understanding of how cognitive crafting influences emotional exhaustion and how it influences the process through which physical crafting influences emotional exhaustion, aligning with the transactional model. The results reiterate the importance of cognitive crafting, an aspect that has received little attention since the introduction of the job demands-resources (JD-R) model of job crafting.

A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the academic community’s desire and intention to use AI conversational chatbot technology, with a particular focus on the leading ChatGPT.

This study uses a mixed method approach to explore the educators’ adoption of chatbots through an empirically validated model. The model, known as the “Educators’ Adoption of ChatGPT”, was developed by integrating the theoretical foundations of both the Unified Theory of Acceptance and Use of Technology and Status Quo Bias (SQB) frameworks, as well as insights gathered from interviews. The relationships within this model were then tested using a quantitative approach. The partial least squares-structural equation modelling method was used to analyse 243 valid survey responses.

The outcomes of the analysis indicated that perceived educators’ effort expectancy, educators’ autonomous motivation, perceived learners’ AI competency, perceived educators’ competency, innovative behaviour towards technological agility and perceived students’ engagement are significant determinants of educators’ intention to use chatbots. In contrast, perceived unfair evaluation of students, perceived students’ overreliance and perceived bias/inaccuracies were shown to have significant impacts on the resistance to use the technology, which typically implies a negatively significant influence on the educators’ use intention. Interestingly, perceived fraudulent use of ChatGPT was proven insignificant on the resistance to use chatbots.

This study makes a significant contribution to the field of educational technology by filling the gap in research on the use and acceptance of AI-enabled assistants in education. It proposes an original, empirically validated model of educator adoption, which identifies the factors that influence educators’ willingness to use chatbots in higher education and offers valuable insights for practical implementation.

The COVID-19 pandemic necessitated a significant shift in how employees executed their professional responsibilities. Concurrently, the incidence of cybercrime experienced a noteworthy surge due to the increased utilisation of cyberspace. The abrupt transition to telecommuting altered the interpersonal dynamics inherent in traditional work environments. This paper aims to examine the impact of interpersonal factors on the cybercrime preventative measures adopted by telecommuting employees.

A conceptual model, grounded in the Theory of Interpersonal Behaviour, is evaluated through an online survey. The data set comprises responses from 209 employees in South Africa, and the analysis uses partial least squares structural equation modelling.

The results reveal substantial predictive power to explain cybercrime preventative behaviours. Notably, the study underscores the significant influence of habit and affect on intention and subsequent behaviour.

The results suggest that practitioners should give due attention to emotional dimensions (affect) as a catalyst for information security behaviour. The formulation of employees’ information security responsibilities should be pragmatic, fostering subconscious compliance to establish routine behaviour (habit).

This research underscores the pivotal roles played by habit and emotions in shaping behavioural patterns related to information security. Furthermore, it provides researchers with an illustrative model for operationalising these constructs within the realm of security. The results contribute additional perspectives on the repercussions of the COVID-19 pandemic on cybercrime preventative behaviours.

Organisations are increasingly adopting and adapting to technological advancements to stay relevant in the era of intense competition. Simultaneously, employee mental well-being has become a prominent global concern affecting people across various demographics. With this in mind, the present study explores the influence of human resource (HR) analytics, mental health organisational evidence-based management (OEBM) and organisational mental health support on the mental well-being of employees. Additionally, the study examines the moderating effects of manager and peer support on the association between organisational mental health support and the mental well-being of employees.

Data were collected from 418 employees in India and structural equation modelling was performed to analyse the data.

The study found significant positive associations between HR analytics with mental health OEBM, organisational mental health support and mental well-being. Mental health OEBM was also found to be positively related to organisational mental health support and mental well-being. The moderating roles of manager and team support were also found to be significant in the associations between organisational mental health support and well-being.

The study showed that HR analytics is a valuable source of mental health data. This data can facilitate the development of evidence-based management (EBM) strategies to promote the mental well-being of employees.

Construction managers must focus on effective job design to develop and harness employee talent and achieve organizational goals. Because psychological needs and key motivators vary by career stage, a differentiated employee value proposition is crucial for a firm’s retention strategy. This study aims to examine how job crafting (JC) affects job embeddedness (JE) at different career stages.

In this investigation, a quantitative methodology was used. In total, 272 construction industry professionals from 25 construction firms in Abu Dhabi, United Arab Emirates, provided the data. Through the use of structural equation modeling, hypotheses were evaluated.

The results show that JC enhances construction professionals’ JE (β = 0.60, p < 0.000). Moreover, the relationship between JC and JE is moderated by career stages. The impact of JC on JE is greater among longer tenured (late-career stages, β = 0.61, p < 0.000) than shorter tenured construction professionals (early-career stages, β = 0.60, p < 0.000 and mid-career stages, β = 0.58, p < 0.000).

Limited research shows how JC can improve JE. At the time of this research, there was no published work on JC and JE relationship in the construction industry. This research found that JC has a positive impact on JE and JC behavior applies at both individual and team levels. This could imply that construction professionals with longer organizational tenure are more likely to challenge the status quo and identify problems or opportunities for improvement, hence contributes to JE theory.

This study aims to explore the boundary conditions of the relationship between challenge-hindrance stressors and innovative work behavior via task crafting and psychological detachment.

The data were collected from 238 questionnaires in five technology R&D enterprises in Tianjin, China. The paper utilized structural equation modeling and cross-sectional design to test hypotheses by AMOS and examined the mediating and moderating effects using the bootstrapping method by SPSS.

Challenge stressors indirectly improved innovative work behavior via task crafting, while hindrance stressors did not affect task crafting or innovative work behavior. Psychological detachment moderated the relationship between challenge stressors and innovative work behavior. When psychological detachment was high, innovative work behavior did not change regardless of challenge stressors. When psychological detachment was low, innovative work behavior increased with the increase of challenge stressors.

The study explains the link mechanism between stressors and innovative work behavior. It enriches the research on psychological detachment as a moderator and provides a new frame for enterprises to develop employees' innovation.

This study aims at investigating how hybrid intelligence might enhance employee engagement in breakthrough innovation. Specifically, it empirically examines the mediating role of self-extinction and moderating role of social intelligence.

This study, using the lens of socio-technical system (STS) theory, collected data from 317 employees through cross-sectional survey. The hypotheses were tested using MPlus 8.3 by applying Structural Equation Modelling (SEM).

The results support the proposed model, suggesting that hybrid intelligence fosters employees' breakthrough innovation engagement and such a relationship is fully mediated by self-extinction. Besides, the findings provide support for the positive moderating impact of social intelligence on such indirect relationships in a way that high social intelligence will further strengthen the relationship.

As a pioneering contribution, the study uncovers the social mechanism that underlies hybrid intelligence–breakthrough innovation engagement relationship via self-extinction. The research suggests managers leveraging employees' social intelligence for playing a critical role in countering the negative impact of self-extinction by enhancing the employees' engagement in the breakthrough innovation process.