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A new type of digital-based worker emerged during the COVID-19. As a result, during the adjustment to this scenario, family, resources and emotions were impacted. Technological and emotional skills were crucial to give continuity and certainty to business. However, despite benefits, remote working has negative consequences, especially in well-being perception. This study proposes a model to measure the impact on the well-being perception of workers that adapted their job to remote positions during a pandemic and offers a valuable framework to understand future emerging changes in remote working and the relationship with well-being perception, especially during crisis scenarios.

The study used an online questionnaire and a structural equation methodology by partial least squares (PLS) using SmartPLS 3.3.3. Data were obtained from 567 respondents workers who adapted to their jobs during the pandemic in Mexico.

The results showed that six model dimensions: human relations (RH), emotions (E), well-being behaviors related to Covid-19 (CB), family economics (EF), routines and habits (RS) and family life (VF) were positive and significant to reflect the Index of Perception of Well-being (iWB) using a structural equation model. This indicates how the lockdown process changed people's perception of well-being and concerns. According with this, for remote working employees, two dimensions were relevant: RH and EF. This finding is relevant because during emergency lockdown, these workers needed to adapt their activities and were separated from all human interactions.

The researchers’ model of Index of Perception of Well-being (iWB) has conceptual and practical implications. From a conceptual point of view, it offers a methodology to measure the relationships between remote working and employees' well-being perception. While for practice, it offers managerial implications to better manage remote working adaptation without compromising people's well-being to create future innovation management environments (IME) for organizations.

This study contributes to develop research about changes in workers' well-being perception during digital adaptation.