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

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.

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Publication Details

Journal
Scientific Reports
Published
2025-09-26
DOI
https://doi.org/10.1038/s41598-025-18708-1
Citations
3
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
6.68

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article

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

Yuguang Zhao, Haobo Yin, Li Bai, Xiangmin Liu et al.
3 citations
Scientific Reports
Innovation and Knowledge Management
6.68
article

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

Yuguang Zhao, Haobo Yin, Li Bai, Xiangmin Liu, Yue Yang, Xiaoning Leng, Yexiang Yao, Debao Li
article en
3 citations

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.

Scientific ReportsVol. 15(1)
Qiqihar Medical University (CN)
Academy of Medical Sciences
Openalex Percentile: Top 4%
Innovation and Knowledge Management
6.68
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