Remote working has grown significantly over the past few decades, driven by advancements in information and communication technologies (ICTs) and the widespread availability of high-speed internet. This study investigates remote work dynamics by analyzing its impacts on mental health, productivity, and the relationships between gender, industry, region, and remote work satisfaction using a dataset of 5000 individuals. Statistical analyses, including chi-square tests, ANOVA test, binomial test, and logistic regression, reveal significant findings. Logistic regression identifies workplace location as a significant predictor of remote work satisfaction. Industry, years of experience and regional disparities in openness to remote work and work-life balance were statistically insignificant. The manufacturing sector of the industry showed the highest remote work adoption (37.8%), and regions like Asia and Europe reported slightly better work-life integration (41.3% and 41.1%, respectively). Notably, approximately 75% of employees across all demographics reported mental health challenges, highlighting the universal impact of remote work on well-being. These findings emphasize the need for tailored, evidence-based strategies to optimize remote and hybrid work environments, ensuring sustainable productivity and equitable employee support.
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