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This study aims to explore the impact of bring your own device (BYOD) practices on teleworkers’ job performance, work–life conflict and their implications for environmental sustainability, with a particular focus on Green IT in the post-pandemic remote work context. Drawing on the job demands–resources (JD-R) model, it examines the relationships between private technology adoption, job demands, job resources, job performance and work–life conflict, while also assessing how BYOD impacts environmental outcomes such as electronic waste reduction and carbon emissions.

The study used confirmatory factor analysis and structural equation modelling (SEM) using AMOS version 22 to evaluate seven hypotheses among 424 full-time teleworkers from various occupational sectors in Mauritius, a developing country.

SEM results confirm that BYOD enhances job performance and work–life conflict through increased job autonomy, workload and work pressure. BYOD and teleworking also contribute to Green IT and environmental sustainability by reducing energy consumption and electronic waste, indirectly supporting broader sustainability goals through reduced corporate device demand and lower commuting-related emissions.

Organisations should leverage BYOD policies to advance Green IT practices and improve work performance in remote settings, focusing on balancing job demands with resources like work autonomy to enhance productivity and well-being.

The findings strongly support the JD-R model in the context of remote work and BYOD, particularly in developing economies with limited infrastructure, offering insights for policies that enhance both employee well-being, Green IT and environmental sustainability.

As employees’ adoption of Bring Your Own Device (BYOD) has increased, so has research interest into the impact of BYOD on human resources outcomes. The present study aims at understanding the relationship between BYOD and human resources outcomes.

The study employs the inductive data-driven content analysis approach to analyze the data collected through qualitative semi-structured interviews with a sample of 28 knowledge workers from different occupational sectors in Mauritius.

The results show the double-edged sword brought about by BYOD implementation. This trend is associated with perceived job performance, job satisfaction, organizational commitment and work motivation while also having an effect on work-life conflict and stress.

This study has implications for organizations that are concerned about formulating guidelines and policies in relation to workers' adoption of BYOD in the workplace. This trend permits employees to continue to communicate and work irrespective of new working conditions and social distancing since the Covid-19 pandemic has changed the way organizations operate around the globe.

Driven by the JD-R theory, themes and sub-themes were linked by the emerging relationships to present a conceptual framework to understanding employees' well-being since this is a pertinent research area for scholars and practitioners, as well as a topic of growing prominence for modern organizations.

Bring your own device (BYOD) refers to employees utilizing their personal mobile devices to perform work tasks. Drawing on the job demands-resources (JD-R) model and the task-technology fit (TTF) model, the purpose of this paper is to develop a model that explains how BYOD affects employee well-being (through job satisfaction), job performance self-assessment, and organizational commitment through perceived job autonomy, perceived workload and TTF.

Survey data from 400 full-time employees in different industry sectors in Mauritius were used to test a model containing 13 hypotheses using confirmatory factor analysis and structural equation modeling.

The SEM results support the hypothesized model. Findings indicate that BYOD indirectly affects job satisfaction, job performance and organizational commitment via job demands (perceived workload), job resources (perceived job autonomy) and TTF. Further, job resources influences job demands while TTF predicted job performance. Finally, job satisfaction and job performance self-assessment appear to be significant determinants of organizational commitment.

The findings are congruent with the JD-R and TTF models, and confirm that BYOD has an impact on job satisfaction, job performance self-assessment and organizational commitment. This could inform organizations’ policies and practices relating to BYOD, leading to improved employee well-being, performance and higher commitment.

The expanded model developed in this study explains how employee well-being, performance and organizational commitment are affected by BYOD, and is one of the first studies to investigate these relationships.