EVALUATION OF TECHNO STRESS IN IOT DEVELOPERS USING PSYCHOMETRIC INSTRUMENTS

Abstract

The swift growth of the Internet of Things (IoT) has increased developer demands, leading to increased levels of technostress. This study examined technostress of IoT developers using self-report psychometric measures based on existing technostress scales. A sample of 210 IoT professionals completed an online survey measuring five technostress creators: techno-overload, techno-invasion, techno-complexity, techno-insecurity, and techno-uncertainty. The instrument showed very good internal consistency (Cronbach's α > 0.80), and five-factor structure was confirmed through confirmatory factor analysis. Results of the regression analysis indicated that techno-overload and techno-complexity were significant predictors of self-reported psychological strain diagnostics and that job autonomy moderated the impact of techno-overload and techno-complexity on psychological strain. Although no study-level differences were established, female developers reported greater perceptions of techno-invasion. Together, results indicate that IoT developers face a unique psychological burden alongside their work with technology and that the developed tool is a valid approach to assess technostress in tailored technologies work contexts. Findings also indicate the need for organizational interventions to track and manage technostress and recommend providing varying levels of autonomy support, workload analysis, and role clarification.