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Most prior studies treated human resource management (HRM) strength as a whole, while neglecting the dynamic interactions between distinct components (consensus, consistency and distinctiveness). The authors lack a deep understanding of how different components operate together to influence burnout. To address these gaps, this study aims to adopt signaling theory to investigate the interactions among different components and their impacts on employee burnout.

The authors collected time-lagged data from 231 full-time employees in manufacturing firms in Suzhou, China. The authors used the PROCESS Model 6 and hierarchical multiple regression to analyze the data.

This study found that HRM system consensus and consistency mitigate employee burnout, whereas HRM distinctiveness is not significantly related to burnout. Furthermore, the authors revealed that HRM system consistency (rather than distinctiveness) mediated the relationship between consensus and burnout. Moreover, the authors found the sequential mediating effects of HRM system distinctiveness and consistency on the association between consensus and burnout.

Considering that employees’ well-being problems may be debilitating and overwhelming during the COVID-19 pandemic, it is particularly ethical and timely for managers to direct attention to the role of HRM system strength in addressing employee burnout.

This study advances the HRM system literature by teasing out the interactions between the three pivotal components of HRM strength. Our study is among the first to empirically investigate the internal relationships between the meta-features of the HRM system and employee burnout. In doing so, the authors develop a more nuanced understanding of the collective nature of a strong HRM system that conveys a shared message about HRM to promote well-being.

This study aims to enhance the understanding of team virtuality by exploring its impact on individual counterproductive knowledge behaviors, particularly knowledge hiding. It examines the mediating roles of cognitive and affective trust and the moderating influence of learning goal orientation, addressing a significant gap in understanding how virtual interactions affect knowledge management processes at the individual level.

We conducted a three-wave online survey with a matched sample of 274 employees who have virtual work experience in China. We performed a series of structural equation modeling (SEM) analyses using Mplus 8.3 to test our proposed hypotheses.

The results indicate a significantly positive association between perceived team virtuality and individual knowledge hiding, mediated by both cognition- and affect-based trust, with the latter showing a stronger mediation effect. Additionally, individual learning goal orientation negatively moderates the indirect relationship between perceived team virtuality and knowledge hiding via cognitive (affective) trust.

By understanding the mechanisms through which virtuality influences individual knowledge behaviors within teams, organizations can provide emotional and instructional support for virtual interactions to mitigate knowledge hiding and improve the efficiency and effectiveness of knowledge management.

This study offers a differentiated analysis by exploring the mediating roles of cognitive and affective trust and the moderating role of learning goal orientation within virtual environments. Previous research has not concurrently examined these variables within the framework of team virtuality and knowledge hiding, making this research pivotal in enhancing the theoretical and practical understanding of individual knowledge behaviors in virtual settings.

This study extends extant literature by establishing an integrative framework connecting different forms of HRM attributions (internal HRM well-being attributions and exploiting attributions, and external Labor Law attributions) and a specific single meta-feature of HRM system strength (consistency) to employee well-being.

In total, 279 paired and valid responses from eight manufacturing firms located in three cities in China were analyzed in this two-wave study. PROCESS macro tool was used to examine the mediating role of thriving at work and the moderating role of HRM system consistency in the relationship between HRM attributions and thriving at work.

Thriving at work mediated the relationship between internal HRM exploiting attributions, external Labor Law attributions and employee well-being. On the other hand, internal HRM well-being attributions did not indirectly influence employee well-being through thriving at work. HRM system consistency moderates the association between internal HRM attributions (rather than external Labor Law attributions) and thriving at work.

This research is only concerned with a particular form of external attributions in one country. In fact, there is a wide range of other external HRM attributions (e.g. organizational intention to imitate their competitors in today’s global economy).

Managers should understand that managing the well-being of the workforce is an important part of HRM for responsible organizations and make efforts to improve employees’ affective-motivational states.

The authors offer insights into HRM attributions research by differentiating internal attributions from external Labor Law attributions based on their disparate implications for employee well-being.

The literature on information technology outsourcing (ITO) prioritises monetary considerations and overlooks human aspects. This qualitative study adopts a contextualised approach to address a research gap in understanding agency workers’ intent to stay in the ITO sector.

In contrast to previous studies that focus on intra-organisational factors and use quantitative designs, this study takes a qualitative approach. It analyses data from 85 in-depth interviews with agency workers in the Chinese ITO supply chain and project managers of supplier and client firms.

The study constructs an integrated framework covering 15 factors at three levels and shows how they interact to influence Chinese agency workers’ intent to stay in the ITO supply chain. Variations in outsourcing management styles and practices among U.S., Japanese and Chinese client firms are presented to enrich the understanding of outsourcing dynamics in a global context.

This study contributes to the ITO literature by providing new insights into the retention of highly skilled agency workers and deepening the contextual understanding of this issue, throwing light on the human aspects often overshadowed by monetary considerations.

Global value chains (GVCs) are facing unprecedented pressures arising from structural changes in the global economy and exogenous shocks including military conflicts and the aftermath of COVID-19. Considering the importance of value chain analysis in the current environment, the purpose of the study is to provide an up-to-date overarching global value chain literature review study that offers suggestions for research and practice to ensure resilient value and supply chains.

The authors provide a comprehensive review of literature of the value chain, commodity chain and production network research based on a systems overview of 5,628 publications to identify the extent of research on vulnerabilities and resilience of value chains globally and gaps therein. To provide the systems overview, the authors use scientometric content co-occurrence analysis methods to analyze and identify gaps within the existing literature.

Based on this overarching review of the literature, the authors identify gaps in the literature primarily related to the issue of unpreparedness of value chains to exogenous shocks. The authors suggest future research directions and propose an integrative model along with recommendations for restructuring value chains for resilience amidst exogenous shocks.

This study carries out an overarching study of interdisciplinary GVC literature in the age of geopolitical and societal challenges and is thus able to offer holistic insights and propositions for future research.

Based on the JD-R model and process-focused HRM perspective, this research paper aims to investigate the processes underlying the relationship between AI-enabled HR analytics and employee well-being outcomes (resilience) that received less attention in the AI-driven HRM literature. Specifically, this study aims to examine the indirect effect between AI-enabled HR analytics and employee resilience via job crafting, moderated by HRM system strength to highlight the contextual stimulus of AI-enabled HR analytics.

The authors adopted a time-lagged research design (one-month interval) to test the proposed hypotheses. The authors used two-wave surveys to collect data from 175 full-time hotel employees in China.

The findings indicated that employees' perceptions of AI-enabled HR analytics enhance their resilience. This study also found the mediation role of job crafting in the mentioned relationship. Moreover, the positive effects of AI-enabled HR analytics on employee resilience amplify in the presence of a strong HRM system.

Organizations that aim to utilize AI-enabled HR analytics to achieve organizational missions should also dedicate attention to its associated employee well-being outcomes.

This study enriched the literature with regard to AI-driven HRM in that it identifies the mediating role of job crafting and the moderating role of HRM system strength in the relationship between AI-enabled HR analytics and employee resilience.

Many economic, political and socio-cultural events in the 2020s have been strong headwinds for architecture, engineering and construction (AEC). Nevertheless, technological advancements (e.g. artificial intelligence (AI), big data and robotics) provide promising avenues for the development of AEC. This study aims to map the state of the literature on automation in AEC and thereby be of value not only to those researching automation and its composition of a variety of distinct technological and system classes within AEC, but also to practitioners and policymakers in shaping the future of AEC.

This review adopts scientometric methods, which have been effective in the research of large intra and interdisciplinary domains in the past decades. The full dataset consists of 1,871 articles on automation in AEC.

This overarching scientometric review offers three interdisciplinary streams of research: technological frontiers, project monitoring and applied research in AEC. To support the scientometric analysis, the authors offer a critical integrative review of the literature to proffer a multilevel, multistage framework of automation in AEC, which demonstrates an abundance of technological paradigm discussions and the inherent need for a holistic managerial approach to automation in AEC.

The authors underline employee well-being, business sustainability and social growth outcomes of automation and provide several managerial implications, such as the strategic management approach, ethical management view and human resource management perspective. In doing so, the authors seek to respond to the Sustainable Development Goals proposed by the United Nations as this becomes more prevalent for the industry and all levels of society in general.

The purpose of the research is to examine the antecedent and employee well-being outcomes of employees' perceptions of benefits schemes.

Data were collected using both paper-based and web-based questionnaires over two time points (one month apart). The sample included 281 participants in eight companies in China. Structural equation modelling was employed to investigate the relationship between Chinese traditionality, perceived benefits schemes, job involvement and emotional exhaustion.

Chinese traditionality is an antecedent of employees' perceptions of benefits schemes. Perceived benefits schemes are negatively associated with emotional exhaustion. Moreover, job involvement mediates the relationship between perceived benefits schemes and emotional exhaustion.

The data were collected in eight manufacturing companies in China, which may raise concerns about the generalisability of findings across industries, nations and cultures. Larger, more representative and cross-contextual samples are needed for future research to test the results further.

Managers should anticipate that employees with different cultural values may develop dissimilar perceptions of the same benefits schemes. Hence, managers need to communicate the benefits schemes to distinct employee groups in different ways.

Based on the conservation of resources model, this research offers theoretical insights into the mechanisms through which perceived benefits schemes influence employee health well-being. In addition, this research tests an antecedent of perceived benefits schemes.

This study aims to determine the influence of Mobile learning (M-learning) technologies based on the gender orientation of vocational education construction trade trainees in Pakistan. Additionally, it explores the challenges associated with integrating M-learning technologies in vocational institutions of civil engineering. Further, this study will focus on the solutions to improve the accessibility of M-learning technologies after the pandemic.

A quantitative method with a survey research design has been adopted in this study. In contrast, the target population was the trainees of vocational education institutions of civil engineering in Pakistan. Further, the data was collected using an adapted survey tool with a five-point Likert scale. Similarly, the data were analyzed through SPSS 27 software tool by using descriptive and inferential statistics.

The study's findings highlighted a positive influence of M-learning technologies based on the gender orientation of construction trade trainees from vocational institutions. Similarly, it is also specified that the challenges vocational trainees of the construction trade have faced while utilizing M-learning technologies were related. Hence, it is evident that the potential challenges of M-learning technologies integration and utilization are related to both gender orientations during a postpandemic situation in Pakistan.

In the Pakistani context, the M-learning technologies approach is recently introduced in the vocational education sector. Therefore, the utilization and integration of M-learning technologies are considered challenging tasks in the context. In this regard, this study helps to understand the acceptance, challenges and impact of M-learning technologies based on gender orientation among vocational institutions trainees of construction trade in Pakistan.

This study not only refers to the impact of M-learning technologies and their challenges but also highlights the current situation of M-learning in Pakistan, particularly construction engineering trainees in vocational education institutes.