Quantitative analysis reveals monitoring systems and digitalization improve employee performance and productivity.
This study investigated the influence of digitalization, digital communication tools, monitoring systems, and political interventions on employee performance and organizational productivity. Utilizing a quantitative- correlational research design, the study surveyed participants’ perceptions across various dimensions such as task efficiency, productivity, work quality, time management, collaboration, and job satisfaction. Findings revealed that digitalization in transaction processes demonstrated strong and highly significant correlations with employee performance, particularly in job satisfaction (r = .845, p < .001) and overall performance (r = .750, p < .001). Similarly, digital communication tools showed significant positive impacts on office productivity, with the highest correlations noted in overall productivity (r = .855, p < .001) and work quality (r = .835, p < .001). Monitoring systems were also found to be highly influential, producing the strongest associations across all productivity indicators, with overall office productivity yielding an exceptionally strong correlation (r = .916, p < .001). In contrast, political intervention in recruitment outcomes displayed mixed results; while it showed moderate and significant correlations with task efficiency (r = .555, p < .001) and quality of work (r = .525, p < .001), it had no significant influence on time management or teamwork, and only a modest effect on overall office productivity (r = .382, p < .01). The findings emphasize that digital tools and monitoring systems are critical enablers of efficiency and organizational growth, while political interventions may hinder consistent recruitment outcomes. The study concludes by recommending the enhancement of digital infrastructures, integration of collaborative tools, and policy safeguards to minimize political interference in human resource processes.
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Agravante et al. (2025) studied this question.
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