The Effect of Work From Anywhere and Work Life Balance on Performance through Achievement Motivation as A Mediating Variable for Redsellers In Five Big Cities in East Java
Abstract
Purpose: This study aims to analyze the influence of Work From Anywhere (WFA) and Work-Life Balance (WLB) on employee performance, utilizing Achievement Motivation as a mediating variable within the digital hospitality workforce.
Methodology: This quantitative research employs a causal approach. Primary data was gathered online via a semantic scale questionnaire from a simple random sample of 100 independent digital agents in East Java, Indonesia. The structural paths and mediation mechanisms were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) via SmartPLS.
Findings: The empirical results reveal that WFA exerts a positive and significant effect on both performance and achievement motivation. Conversely, WLB exhibits no significant impact on either outcome. Achievement Motivation positively drives performance and significantly mediates the structural path from WFA to performance, but fails to bridge the relationship between WLB and performance.
Research limitations/implications: The study is geographically limited to 100 respondents in East Java. Future research should expand the sample size across broader regions and explore additional mediating variables related to modern remote work dynamics.
Practical implications: Corporate management and industry policymakers should optimize WFA protocols as an operational driver for productivity. Concurrently, firms must critically re-evaluate the conceptual framing and implementation of WLB initiatives to yield tangible strategic benefits among independent commissions-based actors.
Originality/value: This paper offers novel empirical insights by positioning achievement motivation as a vital psychological mechanism within flexible work designs, specifically bridging the gap between remote working arrangements and gig economy dynamics within the emerging digital hospitality ecosystems.
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DOI: https://doi.org/10.21107/ee.v12i1.35004
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