Abstract
The Covid-19 pandemic catalyzed a global shift toward work-from-home (WFH) arrangements, disrupting traditional employment structures and establishing a “new normal” in workplace relations. As the immediate crisis subsided, organisations and employees entered a transitional phase marked by renegotiation of expectations, practices, and power dynamics. This study applies a data mining methodology to analyze thousands of publicly available tweets from X (formerly Twitter), published between November 2022 and March 2023, with the onset of pandemic de-escalation. These tweets offer a real-time, user-generated perspective on how WFH is experienced and interpreted by employees. Through inductive thematic analysis, the findings reveal escalating tensions between managerial skepticism–manifested in increased surveillance and renewed office mandates–and employee demands for autonomy and sustained flexibility. WFH is increasingly perceived not as a temporary accommodation but as a core employment condition, deeply intertwined with workers’ professional identities and personal lives. The discourse signals a need for managerial transformation: shifting from input-based supervision to output-oriented evaluation, and from micromanagement to trust-based leadership. Drawing on principles from occupational health psychology, the study highlights the importance of adaptive management strategies that foster employee well-being and performance in distributed work environments.
| Original language | English |
|---|---|
| Journal | Work and Stress |
| DOIs | |
| State | Accepted/In press - 2026 |
Bibliographical note
Publisher Copyright:© 2026 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Job productivity
- data mining
- flexible employment
- managerial trust
- remote work
- work from home
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