Detecting communities in digital disruptive innovation and dynamic capabilities using social network analysis
DOI:
https://doi.org/10.20397/2177-6652/2024.v24i3.2586Palabras clave:
Disruptive Innovation, Digital Disruption, Dynamic Capabilities, Social Networks Analysis, Gephi.Resumen
This study identifies the social structure and relational networks in a conceptual field that links digital disruptive innovation to dynamic capabilities. A collection of 1,352 scientific articles published from 2010 to 2021 in journals indexed in the Web of Science (WoS) and Scopus database supported by the Gephi software formed the networks. Findings reveal a network that establishes relationships with authors and countries such as England, The United States, France, Italy, and China as more prominent in quantity and strength. The United States has stronger ties maintaining a centralized position in networks among institutions suggesting it is the dominant influencer in this research field. The United States heavily influences the most important partnerships directed to technologies involving the medicine and health area and non-profit organizations to fight inequality in emerging countries and tech firms. The main conclusion is this emerging research field poses to strengthen and structures relationships to increase possibilities for future studies to be directed on several fronts.
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