The Moderating Role of Technology Orientation in the Effect of Perceived Data Quality on Work Engagement Among Healthcare Employees

Abstract

Purpose – In recent years, the transformation of healthcare systems has extended beyond technological infrastructures, evolving into a service approach centered on human needs and operational efficiency. Although information systems and data-driven decision support tools play a central role in healthcare, the impact of data quality on healthcare professionals’ organizational attitudes has been addressed only to a limited extent in the literature. This study aims to examine the effects of data quality and technology orientation on healthcare professionals’ level of work engagement and to reveal the moderating role of technology orientation in this relationship.
Design/methodology/approach – The study was conducted using a quantitative design with a cross-sectional and causal approach, and data were collected from 143 healthcare employees working at Dicle University Faculty of Medicine Hospital. The data were analyzed using the partial least squares structural equation modeling (PLS-SEM) technique. The instruments employed included the AIMQ-based Data Quality Scale, the Technology Readiness Index 2.0, and the Utrecht Work Engagement Scale.
Results – The findings revealed that six dimensions of data quality—accuracy, credibility and completeness; objectivity and interpretability; timeliness and understandability; accessibility; relevance; and security—had statistically significant and positive effects on work engagement. In addition, technology orientation emerged not only as a strong direct predictor of work engagement but also as a moderating variable that significantly strengthened the effects of timeliness and understandability, accessibility, and relevance on work engagement.
Discussion – This study shows that data quality and individual technology orientation should be considered complementary factors in shaping healthcare professionals’ work engagement. Designing information infrastructures not solely for technical performance but in cognitive alignment with employees is essential to ensure that digitalization translates into meaningful outcomes for human resources. Accordingly, holistic strategies are needed to align the quality of data systems with the technological profiles of healthcare professionals.