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Smart device use for work during family time is a growing issue of concern and is likely exacerbated by the COVID-19 pandemic. The authors test a broad range of well-being outcomes (job anxiety, job depression and insomnia) to extend the literature. Work–family conflict was included as a mediator with age as a moderator.

The study uses representative data from 422 New Zealand employees across a wide range of occupations, sectors, and industries from late 2020. Confirmatory factor analysis (CFA) of the data was used and moderated mediation analysis was conducted.

Overall, hypotheses were supported, with mWork positively influencing work–family and family–work conflict, and all well-being outcomes. Work–family and family–work conflict acted as mediators and age interacted with mWork leading to more conflict for older workers. Finally, moderated mediation effects were supported with age acting as a boundary condition, whereby the indirect effect of mWork on well-being outcomes increases as age increases.

The findings highlight the danger of using mobile devices to work in family time and highlight the additional risks for older workers.

The mWork literature has a limited focus on well-being outcomes, and the New Zealand data provides insights from a largely underrepresented population in the literature. Further, the use of age as a moderator of mWork towards well-being outcomes provides further originality.

The gender composition of teams remains an important yet complex element in unlocking the success of collaboration and performance in the metaverse. In this study, the authors examined the collaborations of same- and mixed-gender dyads to investigate how gender composition influences perceptions of the dyadic collaboration process and outcomes at both the individual and team levels in the metaverse.

Drawing on expectation states theory and social role theory, the authors hypothesized differences between dyads of different gender compositions. A blocked design was utilized where 432 subjects were randomly assigned to teams of different gender compositions: 101 male dyads, 59 female dyads and 56 mixed-gender dyads. Survey responses were collected after the experiment.

Multilevel multigroup analyses reveal that at the team level, male dyads took on the we-impress manifestation to increase satisfaction with the team solution. In contrast, female and mixed-gender dyads adopted the we-work-hard-on-task philosophy to increase satisfaction with the team solution. At the individual level, impression management is the key factor associated with trust in same-gender dyads but not in mixed-gender dyads.

As one of the pioneering works on gender effects in the metaverse, our findings shed light on two fronts in virtual dyadic collaborations. First, the authors offer a theoretically grounded and gendered perspective by investigating male, female and mixed-gender dyads in the metaverse. Second, the study advances team-based theory and deepens the understanding of gender effects at both the individual and team levels (multilevel) in a virtual collaboration environment.

Although the importance of teacher induction is widely acknowledged, how teachers experience inductions, particularly those conducted in under-resourced areas, remains underexplored.

This study narrates a novice teacher's induction experience in a Chinese high school, from the perspectives of professional capital and community, social realist theory, practice architecture and teacher agency. The participant, Ming, reflected on a broad array of formal and informal induction activities and participated during the induction period.

Through the three-dimensional narrative space, namely broadening, burrowing and storying and re-storying, five themes emerged from Ming's induction experience: (1) heightened awareness of the meaning of teaching, (2) interacting with various professional communities, (3) professional identity tension and development, (4) the discursive influence of various aspects of culture and (5) the influence on future professional development. Overall, this narrative study shows that teacher expertise and identity development play central roles in teacher induction, and context acts as an important mediating factor in teacher induction. These findings echo the importance of teachers' agency in inductions. The implications for facilitating novice teacher induction are also discussed.

This study contributes to a nuanced understanding of a novice teacher's induction experience in China from the perspectives of practice architectures, professional capital and professional community. The conclusion highlights the importance of professional capital and agency during Ming's induction period. This paper unpacks the complexity of teacher induction by revealing new ways of thinking about induction.

This study, based on motivated information processing theory and theories of leadership (contingency and functional), investigates how servant leadership (SL) could be an effective leadership style for employee creative deviance engagement (CDE) to foster radical (RC) and incremental creativity (IC) in two different goal-oriented organizations: learning (LGO) and performance (PGO) goal-oriented organizations.

This study employed descriptive and comparative approaches and surveyed two sources (leaders and team members). Using multi-source data involving 486 LGO-based and 498 PGO-based employee–supervisor dyads from 104 LGO-based and 104 PGO-based high-tech firms in China, the authors distinguish comparative support for assumed hypotheses by using the Monte Carlo simulation technique for the indirect effects and Mplus for multilevel path analysis.

The study outcomes found that SL transmits the effects of employee CDE directly and nurtures RC and IC indirectly. It identified that an organization's LGO strengthens the direct and indirect relationships between SL and creativity via employee's CDE when the organization's LGO is high. However, an organization's PGO strengthens the direct relationship when it's low and strengthens the indirect link between SL and IC when it's high. In addition, the organization's PGO demonstrated an insignificant effect on the indirect relationship between SL and RC.

This study is the first to verify SL as the specific leadership style for responding employee's CDE and identify its distinctive effects on RC and IC. Additionally, there has been no effort to associate SL with employee's CDE for nurturing distinctive types of creativity under the different organizational dispositions (LGO and PGO).

Debates regarding climate change risk perception (CCRP), particularly its scale and impact on social and environmental sustainability, have continued for decades. CCRP is experiencing a renaissance with an increased focus on environmentally relevant behaviors to mitigate the effects of climate change. However, CCRP lacks investigation from the employee perspective. Supported by the social exchange and value–belief–norm theories, this study aims to address the impact of employees’ CCRP on their proenvironmental behavior (PEB) via the moderating roles of environmental values and psychological contract breach.

The nonprobability convenience sampling technique was used to collect survey data from a sample of 299 employees across 138 manufacturing firms in Pakistan.

The results show that employees’ CCRP positively impacts their PEB and that this relationship is moderated by their environmental values and psychological contract breach. Specifically, environmental values strengthen the CCRP–PEB relationship, while psychological contract breach weakens it.

The findings of the study emphasize useful guidance for managers and practitioners as a future avenue to restructure the climate change framework by emphasizing the conditions (i.e. environmental values and psychological contract breach). In doing so, the study is beneficial for managers and practitioners in helping to increase employees’ PEB through the development of climate change action plans.

To the best of the authors’ knowledge, this study is one of the first investigations into CCRP–employees’ PEB nexus in the developing country context. The study incorporates social exchange and value–belief–norm theory, which serve as the CCRP’s theoretical underpinnings. The findings advance the new knowledge about a firm’s social responsibility to achieve the sustainable development goals outlined in the UN’s 2030 Agenda.

This study aims to identify the critical barriers to women’s leadership in Indian corporate sector using the interpretive structural modeling (ISM) approach.

Through data obtained from extant literature and the expert opinion of women seeking higher managerial positions in the Indian corporate sector, this study identified total 18 barriers to women’s leadership. Thereafter, this study used the Delphi technique to identify the most critical barriers and ISM to understand the causal relationship among them, and then ranked them based on relevance.

Of the 13 critical barriers identified, corporate policies, conscious organizational bias and family responsibilities had the highest driving power. By contrast, inadequate career opportunities and the lack of risk-taking ability and assertiveness had the highest dependence power. Unconscious organizational bias and occupational segregation were other prominent barriers.

This study establishes the interrelationships between women’s leadership barriers. It provides a well-defined model which helps to get theoretical insight considering barriers for women leaders in their career progression in the Indian context. Based on the ISM model, these findings can help academicians and researchers gain deep insights into the barriers to women’s leadership in the Indian context, as no studies have been found in the literature concerning the given subject.

Based on the findings, corporations and policymakers can design inclusive leadership policies to support women as they climb the corporate ladder and to enhance their contribution to organizational success.

To the best of the authors’ knowledge, this is the first study to identify barriers to women’s leadership in India using ISM analysis.