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The study explores inclusive and sustainable growth in Micro, Small and Medium Enterprises (MSME) by examining people-oriented practices that expand employment opportunities for women. It uses the Conservation of Resources Theory to explore sustainable HRM practices like telecommuting, managerial support and understanding generational preferences to enhance women's well-being.

The study captures the impact of HRM practices on employee well-being using multi-source data that were collected through an online questionnaire administered to 2,856 female employees in 18 Indian MSMEs. We then use PLS-SEM (SmartPLS-4 and PLS-multi-group analysis (PLS-MGA)) to analyze predictors of employee well-being.

The data analysis revealed that satisfaction with HRM practices positively impacted employee well-being. Secondly, satisfaction with telecommuting mediated the relationship between satisfaction with HRM practices and employee well-being. Thirdly, managerial support positively moderated the relationship between satisfaction with telecommuting and well-being. Lastly, generational cohort membership moderated the satisfaction with HRM policies and well-being, with Generation Z having a stronger need than Generation Y.

This study emphasizes the significance of robust and gender-sensitive HRM practices in MSMEs in high-growth emerging markets. It emphasizes the need for telecommuting policies and the role of managers in creating a supportive work environment for women. By implementing these insights, MSMEs can develop effective strategies to attract, retain and promote the well-being of women employees, thereby fostering sustainable HRM practices.

This study explores sustainable MSME HRM practices supporting gender inclusions and women’s well-being in high-growth emerging markets. By focusing on gender inclusion and the impact of telecommuting, generational preferences and managerial support, we contribute to mechanisms for sustainable labor as an economic and social concept.

Scholars have highlighted personal interactions between employees and their leaders in an increasingly distributed and hybrid work environment as an essential mechanism that engages employees toward organizational goals. Enhanced employee engagement significantly contributes to sustained organizational performance and growth. While Artificial Intelligence (AI) applications in the HR domain are increasing, research to understand the implication of AI-based virtual assistants on enabling trust and managing human resources is, at best, limited.

Drawing on the social response theory and the social exchange theory, and based on a multi-source, time-lagged field study spanning over ten months, we investigated the impact of AI-based virtual assistants on employee attitudes, namely perception of fairness and employee engagement.

The usage of AI-based virtual assistants is associated directly with employee engagement and indirectly through employees’ perceptions of fairness. While employees’ past performance moderates the relationship between perceived fairness and employee engagement, the interaction effect becomes non-significant with AI-based virtual assistants.

Our study contributes to the emerging literature on AI-based virtual assistants in HRM and employee engagement. The virtual assistants’ use to enhance employee engagement emerges as an opportunity for task substitution and augmentation. Our study demonstrates that AI-based virtual assistants can enhance employee engagement and help build perceptions of fairness among employees.

With the emerging importance of AI, there is an increasing interest in explaining human-computer interactions and their effect on employee engagement. Our study is among the early empirical studies examining the implications of AI-based virtual assistants on employee outcomes.

The importance of mental wellbeing and the need for organizations to address it is increasing in the post-pandemic context. Although Artificial Intelligence (AI) is increasingly being adopted in HRM functions, its adoption and utility for enabling mental wellbeing is limited. Building on the Open System Theory (OST) and adopting the technology-in-practice lens, the authors examined the roles of human and technology agencies in enabling mental wellbeing.

The study was conducted in two stages; in Stage 1, the authors adopted a case methodology approach to examine the feasibility of a technology company's offerings to assess mental wellbeing. In Stage 2, the authors followed the grounded theory approach and interviewed 22 key stakeholders and HR leaders of diverse organizations. The authors used Gioia's approach to analyze the data.

The study demonstrates the interdependence and inseparability of human activity, technological capability and structured context. Specifically, the authors observe that AI adoption is pushing the boundaries of how organizations could support employees' mental health and wellbeing. These technological advancements and adoption are likely to facilitate the evolution of agentic practices, routines and structures.

This study carries two important implications. While the advent of cutting-edge technologies appears to affect employees' mental wellbeing, the study findings indicate the assistive role of technology in supporting mental wellbeing and facilitating changes in organizational practices. Second, the ontology of technology-in-practice shows how human–machine agencies gain newer relevance from the interactions that unite them. Specifically, per OST, technology (from an external context) can potentially change how mental wellbeing practices in organizations are managed. The authors extend the existing literature by suggesting that both human agents and internal contexts effectively limit the potential of technology agents to change existing structures significantly.

The authors address the need for more research on the technology-management interface, and the boundaries of technology-enabled wellbeing at work. While AI-HRM scholarship has primarily relied on micro-level psychological theories to examine impact and outcomes, the authors borrow from the macro-level theories, such as the OST and the technology-in-practice to explain how AI is shifting the boundaries of human and machine agencies for enabling mental wellbeing.

The importance of learning in development in increasingly dynamic contexts can help individuals and organizations adapt to disruption. Artificial intelligence (AI) is emerging as a disruptive technology, with increasing adoption by various human resource management (HRM) functions. However, learning and development (L&D) adoption of AI is lagging, and there is a need to understand of this low adoption based on the internal/external contexts and organization types. Building on open system theory and adopting a technology-in-practice lens, the authors examine the various L&D approaches and the roles of human and technology agencies, enabled by differing structures, different types of organizations and the use of AI in L&D.

Through a qualitative interview design, data were collected from 27 key stakeholders and L&D professionals of MSMEs, NGOs and MNEs organizations. The authors used Gioia's qualitative research approach for the thematic analysis of the collected data.

The authors argue that human and technology agencies develop organizational protocols and structures consistent with their internal/external contexts, resource availability and technology adoptions. While the reasons for lagging AI adoption in L&D were determined, the future potential of AI to support L&D also emerges. The authors theorize about the socialization of human and technology-mediated interactions to develop three emerging structures for L&D in organizations of various sizes, industries, sectors and internal/external contexts.

The study hinges on open system theory (OST) and technology-in-practice to demonstrate the interdependence and inseparability of human activity, technological advancement and capability, and structured contexts. The authors examine the reasons for lagging AI adoption in L&D and how agentic focus shifts contingent on the organization's internal/external contexts.

While AI-HRM scholarship has primarily relied on psychological theories to examine impact and outcomes, the authors adopt the OST and technology in practice lens to explain how organizational contexts, resources and technology adoption may influence L&D. This study investigates the use of AI-based technology and its enabling factors for L&D, which has been under-researched.

There is an emerging interest in Lesbian, Gay, Bisexual, Transgender and Queer (LGBTQ) inclusion among researchers and practitioners. However, the interplay of macro-, meso- and micro-level factors that influence the behavior of various agencies, systems, structures and practices in different national, cultural and social contexts still needs to be researched. This paper aims to examine how organizations meaningfully engage with the marginalized and underrepresented workforce, especially the LGBTQ community, to promote diversity and inclusion through comprehensive policies and practices, thereby developing a sustainable inclusivity culture.

Adopting a practice theory lens and using a case study design, including multilevel interviews with 28 different stakeholders, this study examines how organizations institutionalize LGBTQ inclusion practices in an emerging market context with a historically low acceptance of the LGBTQ community.

Findings indicate that macro influences, such as regulatory, societal and market pressures and adopting international standards and norms, impact meso-level structures and practices. At the organizational level, leadership evangelism and workforce allyship serve as relational mechanisms for institutionalizing LGBTQ-inclusive practices. Furthermore, collaboration, partnerships and enabling systems and processes provide the structural frameworks within which organizations build an LGBTQ-inclusive culture. Lastly, at the micro level, cisgender allyship and the LGBTQ micro work environments provide the necessary psychological safety to build trust for authentic LGBTQ self-expressions. This study also indicates that organizations evolve their LGBTQ inclusion practices along a trajectory, with multiple external and internal forces that work simultaneously and recursively to shape HRM policies and practices for building an inclusive culture.

This study addresses the significant gaps in diversity and inclusivity research on LGBTQ employees and contributes to the literature in three significant ways. First, this study examines the diversity management mechanisms at the organizational level and explicates their interplay at the micro, meso and macro levels to create congruence, both internally and externally, for engaging with LGBTQ talent. Second, this study adopts a practice theory lens to examine the behavior of various actors, their agencies, the “flow” of underlying and emerging structures and processes, the continuous interplay between structure and action and how they enable inclusive culture for the LGBTQ community as a whole. Last, it addresses the call by diversity researchers for context-specific multilevel research design, including qualitative research, focusing on national, cultural and institutional contexts, where socio-organizational and historical factors and interactions among them shape diversity practices. Much of the literature on LGBTQ inclusion has, thus far, been within the Western context. By examining the emergence of inclusion practices in emerging markets like India, this study contributes to diversity and inclusion research.

The COVID-19 pandemic found deliberate and idiosyncratic adoption of telecommuting and other flexibility practices across industries. With the pandemic waning, many organizations adopted various models for employee work locations. Based on Self-Determination Theory and Social Comparison Theory, the authors examine the impact of the dissonance between employee preference for their work location and enforced work location norms and its impact on general well-being and organizational commitment.

The authors’ empirical study is based on a sample of 881 respondents across multiple industries in India over six months of the COVID pandemic. The authors use PLS-SEM for data analysis to examine the model and the moderating influence of individual resilience on control at work.

The authors find that increased dissonance between work locations reduces general well-being, control and work. Further, higher individual resilience reduces the impact of this dissonance on control at work.

The study informs policy and practices that choice of work location is important for employees to feel a higher sense of control, impacting their affective commitment and general well-being. While implementation of policies across an organization for varying job roles and complexities presents a challenge, practitioners may ignore this need of employees at their peril, as employees are likely to demonstrate lower well-being, engagement and organizational commitment and eventually leave.

This study is significant as it provides relevant scholarship based on the COVID-19 pandemic, guiding practice on future ways of working. This study further supports the impact of an individual's sense of control on where work is done. The authors build a strong theoretical foundation to justify the impact of the lack of autonomy in the emerging working norms on employees' general well-being and organizational commitment.

The fear of the pandemic, confinement at home and the need to work created a unique situation. The pandemic catalyzed work-from-anywhere practice by adopting information and communication technologies (ICT) across all industries. While ICT saved organizations, it increased technostress among the workforce. A better understanding of the adverse effects of ICT usage might enable organizations to manage the mental well-being of the workforce. While technostress is gaining increasing interest, scholarly work investigating the dimensions of technostress and its impact on creating stress across various employee demographics and industry types is missing. Contrary to the prevalent assumptions, the authors theorized and tested the adverse moderation effect of the home-work interface on the linkage between technostress dimensions and stress. This paper aims to discuss the aforementioned objective.

The study captures dimensions of technostress and the resulting stress at work using a survey-based analysis of 881 working employees in India, representing multiple industries and functions.

The study indicates that techno-overload, techno-complexity and techno-invasion significantly impact employees during the pandemic. The authors further found that the home-work-interface is a powerful factor in understanding the complex linkage between dimensions of technostress and its outcomes.

Based on the Conservation of Resources Theory and the Job-Demand-Resources model, this study highlights the adverse impact of this trend on employee well-being. However, the study suffers from a cross-sectional research design. The technostress research has focused primarily on static, at-premise environments and mostly on high ICT usage industries. Due to the pandemic, it has neglected the impact of various technostress dimensions across employee cohorts subjected to rapid technology-enabled working. Further, most studies focus on the voluntary choice of remote work. Employees struggle with the unexpected and involuntary shift to technology-enabled remote work. This study contributes to the literature by examining the consequences of technostress in the context of non-voluntary remote work. Contrary to prevailing assumptions, this study highlights the adverse effect of organizational home-work interface in influencing ICT-created stress.

The increasing use of ICT enables telecommuting across the workforce while increasing organizational productivity. Due to the pandemic, these trends will likely change the future of work permanently. To minimize employee stress, practitioners need to reconsider the dimensions of technostress. Further, the study cautions against the prevalent interventions used by practitioners. While practitioners facilitate a home-work interface, it could have adverse consequences. Practitioners may consider the adverse consequences of home-work interface while designing organizational policies.

This study during the pandemic is crucial as research forecasts the likelihood of other cataclysmic events, such as future pandemics and political or climate change events, which may sustain technology-driven remote work practices and remain a feature of the future workplace. Hence understanding the implications of the dimensions of technostress would help organizations and policymakers to implement necessary interventions to minimize employee stress.

The present study examines the dimensions of technostress across multiple industries and job functions in an emerging market marked by a high economic growth rate and an Eastern cultural context. This study presents the dark side of excessive ICT adoption and indicates how organizations and HRM practices can help mitigate some of these effects.