Digital transformation and its relationship with work productivity: a systematic review of the literature

Abstract

Introduction. digital transformation has become a central driver of organizational performance, reshaping work processes, productivity indicators, and operational efficiency worldwide. However, existing evidence remains dispersed across industries and methodological approaches, making it necessary to synthesize the current knowledge base. This study aims to systematically review empirical research examining the relationship between digital transformation and work productivity.Methodology. a systematic review was conducted following PRISMA 2020 guidelines. Academic databases such as Scopus, Web of Science, ScienceDirect, IEEE Xplore, and Google Scholar were searched, identifying 535 articles. After duplicate removal, screening, and full‐text evaluation, 145 studies published between 2020 and 2025 met the inclusion criteria. Data extraction focused on methodological characteristics, digital transformation components, productivity indicators, and empirical results.Results. findings show a consistent positive association between digital transformation initiatives and work productivity. Approximately 78% of the reviewed studies reported increases in individual or organizational productivity linked to technological integration, automation, digital skills development, and data‐driven decision-making. However, methodological heterogeneity across studies, particularly in measurement instruments and conceptual definitions, limited the possibility of conducting a meta-analysis. The review also highlighted moderating factors, such as digital competencies, organizational culture, leadership, and technology readiness.Conclusion. the evidence indicates that digital transformation significantly enhances work productivity, although its impact depends on organizational capabilities, employee digital skills, and strategic implementation. Future research should prioritize standardized measurement frameworks, cross-industry comparisons, and longitudinal designs to strengthen the understanding of this relationship.