Digital Work Overload Management Practices and Employee Well-Being: A Time-Lagged Sequential Mediation and Moderation Model

Authors

DOI:

https://doi.org/10.71016/tp/ev1g7x85

Keywords:

Digital work overload management practices, Psychological wellbeing, Psychological detachment, Work–life balance, Managerial empathy, Digital mindfulness, SDG 3 and SDG 8, Safe working environment

Abstract

Aim of the Study: Drawing on Job Demands–Resources (JD-R) and Conservation of Resources (COR) theories, this study examines whether digital work overload management practices (DWOMP) enhance employee well-being through the sequential mediation of perceived workload management, psychological detachment, and work–life balance, and whether digital mindfulness and managerial empathy act as boundary conditions.

Methodology: A time-lagged two-wave survey design with a four-week interval was used. Full-time employees of digitally intensive organizations in Lahore, Pakistan, were selected through purposive sampling, yielding 385 matched responses. DWOMP was modelled as a reflective–reflective higher-order construct, and the hypotheses were tested with partial least squares structural equation modelling (PLS-SEM) in SmartPLS 4.0 using bootstrapping.

Findings: DWOMP positively predicted perceived workload management (β = .526), psychological detachment (β = .255), and work–life balance (β = .126). Perceived workload management, psychological detachment, and work–life balance sequentially mediated the effect of DWOMP on employee well-being (β = .039, p < .001), and the model explained 68.9% of the variance in well-being. Managerial empathy strengthened the relationship between psychological detachment and work–life balance (β = .069, p = .024) but did not moderate the balance–well-being link, while digital mindfulness did not moderate any of the examined paths.

Conclusion: DWOMP operate as organizational resources that initiate a resource-gain sequence from workload appraisal to recovery, balance, and well-being. Empathic supervision matters mainly at the transition from recovery to balance. Organizations should combine structural workload practices with supportive supervision, thereby advancing Sustainable Development Goals 3 (Good Health and Well-Being) and 8 (Decent Work and Economic Growth).

Author Biographies

  • Dr. Ahsan Ali Ashraf, University of Lahore, Pakistan.

    Associate Professor, Lahore Business School,

  • Dr. Ahmad Adeel, INTI International University, Nilai, Malaysia.

    Associate Professor, Faculty of Business and Communications, 

  • Dr. Muhammad Umair Javaid, Sohar University, Sohar 311, Oman.

    Associate Professor, Faculty of Business,

  • Dr. Sajid Mohy Ul Din, Sultan Idris Education University, Malaysia.

    Senior Lecturer, Department of Accounting and Finance,

  • Dr. Nurudeen Babatunde BAMIRO, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.

    Senior Lecturer, Department of Economics,

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Published

2026-09-30

How to Cite

Ashraf, A. A., Adeel, A., Javaid, M. U., Mohy Ul Din, S., & BAMIRO, N. B. (2026). Digital Work Overload Management Practices and Employee Well-Being: A Time-Lagged Sequential Mediation and Moderation Model. THE PROGRESS: A Journal of Multidisciplinary Studies, 7(3), 22-48. https://doi.org/10.71016/tp/ev1g7x85