Relational embeddedness, organizational learning ambidexterity, and competitive advantage in digital healthcare

关系嵌入性、组织学习双元性和数字医疗中的竞争优势

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Abstract

Over the past few decades, research on organizational embeddedness and organizational learning has grown dramatically. In the organizational embeddedness and organizational learning context, relational embeddedness provides the resource foundation for organizational learning, ambidextrous learning converts resources into capabilities using exploration and exploitation approaches, and environmental dynamism determines the optimal combination of relational embeddedness and ambidextrous learning by moderating the uncertainty and changes in the external environment. Relational embeddedness and learning ambidexterity are becoming more widely acknowledged as sources of organizational performance. By analyzing the roles of relational embeddedness, ambidextrous learning, and environmental dynamism, this research aims to improve knowledge of the elements influencing competitive advantage in digital healthcare. Although numerous research studies have examined the effects of relational embeddedness on performance, little is known about the mechanisms by which relational embeddedness confers competitive advantages in a digital healthcare environment. Clarifying the role of relational embeddedness in driving competitive advantage is critical for delineating the intricate relationship between relational embeddedness and competitive advantage in digital healthcare. To fill this research gap, this study examines how ambidextrous learning and environmental dynamism impact the relationship between relational embeddedness and competitive advantage in digital healthcare. This paper analyzes the data using SPSS 26.0 and its macro software, PROCESS, with a focus on 356 middle and senior managers of enterprises surveyed between July 2024 and November 2024. Our findings support the notion that relational embeddedness enhances competitive advantage in digital healthcare. Additionally, explorative and exploitative learning partially mediates the relationship between relational embeddedness and competitive advantage. Furthermore, environmental dynamism significantly and differentially moderates the influence of relational embeddedness on exploitative and explorative learning. This study contributes to the existing literature by offering a more detailed examination of the relationship between relational embeddedness and competitive advantage in digital healthcare. It also has significant practical implications for healthcare improvement and socio-economic development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1038/s41598-025-18708-1.

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