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Non-hierarchic leadership collaboration

Exploring the adoption of AI-driven social networking for addressing social challenges in an extra-organizational environment

Dados Bibliográficos

ID6456138
AutoresBasilio Ruiz De Apodaca Oihana (0000-0002-5623-7854), Vicente J Montes Gan (0000-0003-0353-8669), Fernando Moreno-Brieva (0000-0002-0588-7267)
Ano2025
Volume81
Páginas102809-102809
Data de publicação2025-01-16
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoTechnology in Society (JOURNAL)
Identificadores do periódicoISSN: 0160-791X • E-ISSN: 1879-3274
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.techsoc.2024.102809
OpenAlexW4406454735
IdiomaEN
Referências citadas63

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

Business · Engineering ethics · Knowledge management · Management science · Political science · Public relations · Sociology · Big Data and Business Intelligence · Collaboration in agile enterprises · Computer Science · Engineering · Psychology · Supply Chain Resilience and Risk Management

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