Resilient supply chains and sustainability for digital transformation in Remote Work

This study examines the sustainability of remote and hybrid work models by assessing their impact on organizational culture, employee engagement, leadership practices, and productivity. As businesses transition to flexible work environments, understanding their long-term viability is essential for economic and social sustainability. Using a mixed-methods approach, we surveyed 300 employees across multiple industries and conducted 20 in-depth interviews with organizational leaders. Quantitative analysis revealed a 60% increase in productivity due to reduced commuting and flexible scheduling. However, 30% of employees reported work-life balance challenges, and 45% experienced social isolation, which negatively impacted engagement. Leadership practices shifted significantly, with 85% of leaders emphasizing digital communication proficiency as a key skill. Hybrid work models demonstrated a 5-10% higher efficiency in leadership, engagement, and productivity compared to fully remote setups. However, 40% of employees struggled with a sense of belonging in virtual settings, raising concerns about long-term cultural cohesion. Our mathematical models quantify engagement, leadership efficiency, and hybrid work sustainability, with productivity measurements showing a ±5% error margin due to variable home-work conditions. These findings offer actionable insights for businesses that strike a balance between flexibility, inclusivity, and performance in sustainable workforce management, aligning with the United Nations Sustainable Development Goals (SDGs) on decent work and economic growth.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17291236
Primary Topic
Work-Family Balance Challenges
Type
article
Field-Weighted Citation Impact
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article

Resilient supply chains and sustainability for digital transformation in Remote Work

Zenodo (CERN European Organization for Nuclear Research)
Work-Family Balance Challenges
article

Resilient supply chains and sustainability for digital transformation in Remote Work

article en

Abstract

This study examines the sustainability of remote and hybrid work models by assessing their impact on organizational culture, employee engagement, leadership practices, and productivity. As businesses transition to flexible work environments, understanding their long-term viability is essential for economic and social sustainability. Using a mixed-methods approach, we surveyed 300 employees across multiple industries and conducted 20 in-depth interviews with organizational leaders. Quantitative analysis revealed a 60% increase in productivity due to reduced commuting and flexible scheduling. However, 30% of employees reported work-life balance challenges, and 45% experienced social isolation, which negatively impacted engagement. Leadership practices shifted significantly, with 85% of leaders emphasizing digital communication proficiency as a key skill. Hybrid work models demonstrated a 5-10% higher efficiency in leadership, engagement, and productivity compared to fully remote setups. However, 40% of employees struggled with a sense of belonging in virtual settings, raising concerns about long-term cultural cohesion. Our mathematical models quantify engagement, leadership efficiency, and hybrid work sustainability, with productivity measurements showing a ±5% error margin due to variable home-work conditions. These findings offer actionable insights for businesses that strike a balance between flexibility, inclusivity, and performance in sustainable workforce management, aligning with the United Nations Sustainable Development Goals (SDGs) on decent work and economic growth.

Zenodo (CERN European Organization for Nuclear Research)
University of Portsmouth (GB)
Openalex Percentile: Top 37%
Work-Family Balance Challenges
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Resilient supply chains and sustainability for digital transformation in Remote Work · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS