PREDICTING OFFICE WORKERS' PERFORMANCE THROUGH TECHNOSTRESS AND SELF-EFFICACY: A STRUCTURAL EQUATION MODELING APPROACH
DOI:
https://doi.org/10.70248/jmie.v4i1.4563Abstract
Technostress is commonly framed as detrimental, yet digital demands may also stimulate performance when appraised as manageable challenges. This study tests technostress and self-efficacy as predictors of office-worker performance among 280 workers aged 18-35 in South Jakarta who used digital technologies in daily tasks. A 28-item five-point Likert questionnaire was analyzed using partial least squares structural equation modeling. One performance indicator with an outer loading of 0.485 was removed; the final model retained 27 indicators and satisfied reliability, convergent-validity, and discriminant-validity criteria. The structural model explained 60.4% of performance variance. Technostress showed a positive and significant relationship with performance, while self-efficacy also contributed positively. This pattern indicates a potential techno-eustress process: within the observed range, manageable technology-related demands may mobilize effort when employees possess confidence and coping resources. The cross-sectional self-report design cannot establish causality, eliminate common method bias, or confirm an inverted U-shaped effect. Managers should combine realistic digital workloads, technology-enabled prioritization, right-to-disconnect practices, resilience training, coaching, and technical support. The study extends Indonesian evidence beyond education and public-sector samples to heterogeneous metropolitan office work.
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