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This study explored one form of remote working – work from home – to understand the impact of work disruptions on workers and human resource management (HRM) practice and therefore how to adapt to future crises. Specifically, the purpose is to understand the impact of events on employees when they are forced to move back and forth (yo-yoing) between work from home and a central office, using the case of Perth, Western Australia (WA).

Thirty-nine interviews with leaders, managers and co-workers working in private and public organisations suggest that forced changes to work arrangements affect job content and demands, well-being and potentially career trajectories.

The authors critically applied and developed the tenets of event system theory (EST) (novelty, disruption and criticality) by analysing an ongoing or “long” event rather than a discrete or time-limited one. The study found that the work-from-home experience influenced the individual perception of whether remote working would suit employees in the future, potentially influencing career paths. In addition, the selection of locations to live, preferred properties (e.g. home office space) and access to services (e.g. broadband infrastructure) has also become dominant features of work decisions.

While the study generated rich data, it is not without limitations. The participants were from one Australian state which may not reflect the COVID-19 experiences of other jurisdictions. In addition, the participants were mostly female so this may offer a different perspective than a more gender-balanced sample. The study was limited to the perspectives of employees and middle managers.

The authors note three areas of implications for practitioners. First, the findings suggest that strong organisational and HRM support assists employees to cope well with change. Second, the importance of technological and social preparedness in improving employee experiences highlights the role of HRM in job design. Third, it is key that salient events are recognised as potential determinants of career pathways.

The evidence from this research broadens the application of EST showing that forced flexibility has an influence on work arrangements by influencing a series of changes in features of work and experiences of employees. As such, this impacts employee's well-being and potentially future career decisions.

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.