Doctor Performance Drivers: Insights from Various Theoretical Perspectives

Abstract

The increasing need to improve patient outcomes alongside the rise in healthcare costs, influenced by an aging population and continuous technological progress, makes digital transformation in healthcare essential. Nevertheless, the effectiveness of technology implementation is strongly dependent on the acceptance of healthcare professionals. This study examines how self-efficacy, perceived job insecurity, and the intention to use technology contribute to physician performance and innovation process outcomes. Drawing from established theories such as Innovation Diffusion Theory and self-efficacy theory, a comprehensive model is developed to explore these relationships. Data were collected through a structured survey involving healthcare professionals and analyzed using Partial Least Squares Structural Equation Modeling. The results show that self-efficacy significantly encourages technology adoption, which in turn enhances both innovation and physician performance. Contrary to assumptions, perceived job insecurity does not significantly influence the intention to adopt technology but has a direct negative impact on physician performance. This research contributes to the existing literature by offering an integrated multi-theoretical framework that combines TAM, Innovation Diffusion Theory, self-efficacy, and job insecurity. Unlike earlier studies, it examines both direct and indirect effects and finds that job insecurity may not be a critical obstacle to technology use. The study also includes insights from primary care physicians, a group often underrepresented in digital health research.