Non-Hierarchic Leadership Collaboration: Exploring the Adoption of AI-Driven Social Networking for Addressing Social Challenges in an Extra-Organizational Environment

Resumen

The literature has explained how technology adoption and usage is affected by many socio-technical issues and how the emergence and evolution of networks is key for innovation. However, empirical analysis of interactions between leadership networks and new artificial intelligence-driven technologies is scarce. To shed new light on leadership communities around the adoption of an existing and a new technology related to leadership networks, we analyze the level of socio-digital engagement of a non-hierarchical network of individuals associated with a prestigious Spanish Foundation in the context of pressing social challenges. We apply a methodology that combines quantitative and qualitative methods, sentiment analysis, and insider research to analyze the strategy applied by the Foundation. Our main results show that the existence of strong, trust-based relationships and the introduction of a well-designed AI-based tool may only have a limited effect on the adoption of technology and the evolution of a network. Specifically, in the case studied, the network of leaders around the Foundation comprised peer leadership networks but not collective leadership networks focused on action on social challenges.

Descripción

Citación

Oihana Basilio Ruiz de Apodaca, Vicente J Montes Gan, Fernando Moreno-Brieva, Non-hierarchic leadership collaboration: Exploring the adoption of AI-driven social networking for addressing social challenges in an extra-organizational environment, Technology in Society, Volume 81, 2025, 102809, ISSN 0160-791X, https://doi.org/10.1016/j.techsoc.2024.102809.
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