A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV

Although Generative Artificial Intelligence (GenAI) is one of the strategic choices for digital transformation in small and medium-sized enterprises (SMEs), its adoption remains constrained by leadership decision-making that must balance strategic aspirations with resource limitations and organizati...

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Autores: Penarroya-Farell, Montserrat; Vaziri, Maryam; Soto Rivera, Sasha Katalina; Miralles, Francesc
Tipo de documento: Artículo
Fecha de publicación:2025
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:20.500.14342/5971
Acceso en línea:http://hdl.handle.net/20.500.14342/5971
https://doi.org/10.3390/admsci15120494
Nivel de acceso:Acceso abierto
Palabra clave:GenAI
SMEs
Leadership behavior
Technology adoption
Strategic alignnment
Complexity theory
004
62
65
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author Penarroya-Farell, Montserrat
author2 Vaziri, Maryam
Soto Rivera, Sasha Katalina
Miralles, Francesc
author2_role author
author
author
author_browse Miralles, Francesc
Penarroya-Farell, Montserrat
Soto Rivera, Sasha Katalina
Vaziri, Maryam
author_facet Penarroya-Farell, Montserrat
Vaziri, Maryam
Soto Rivera, Sasha Katalina
Miralles, Francesc
author_role author
collection Recercat. Dipósit de la Recerca de Catalunya
description Although Generative Artificial Intelligence (GenAI) is one of the strategic choices for digital transformation in small and medium-sized enterprises (SMEs), its adoption remains constrained by leadership decision-making that must balance strategic aspirations with resource limitations and organizational inertia. Organizational leadership must face the dynamic and complex characteristics of digital transformation in the knowledge era. Drawing on Complexity Theory and integrating the Technology Acceptance Model (TAM), Temporal Motivation Theory (TMT), and the Resource-Based View (RBV), this study proposes a conceptual framework reflecting distinct strategic leadership orientations. Following a qualitative approach based on semi-structured interviews with SME leaders and an Interpretative Phenomenological Analysis (IPA) this conceptual framework contributes by reframing GenAI adoption as a complex, nonlinear process rather than a straightforward diffusion model, that includes four strategic profiles (Strategic Adopters, Aspiring Adopters, Opportunistic Adopters, and Operational Stabilizers) that affect a dynamic relationship between three key adoption dimensions: intention, motivation, and resource allocation. SME leaders can benefit from a delimitation of their strategic and operational goals while overcoming adoption barriers.
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institution Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
network_acronym_str ES
network_name_str España
oai_identifier_str oai:recercat.cat:20.500.14342/5971
publishDate 2025
publishDateSort 2025
publisher MDPI
publisherStr MDPI
reponame_str Recercat. Dipósit de la Recerca de Catalunya
spelling A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV Penarroya-Farell, Montserrat Vaziri, Maryam Soto Rivera, Sasha Katalina Miralles, Francesc GenAI SMEs Leadership behavior Technology adoption Strategic alignnment Complexity theory 004 62 65 Although Generative Artificial Intelligence (GenAI) is one of the strategic choices for digital transformation in small and medium-sized enterprises (SMEs), its adoption remains constrained by leadership decision-making that must balance strategic aspirations with resource limitations and organizational inertia. Organizational leadership must face the dynamic and complex characteristics of digital transformation in the knowledge era. Drawing on Complexity Theory and integrating the Technology Acceptance Model (TAM), Temporal Motivation Theory (TMT), and the Resource-Based View (RBV), this study proposes a conceptual framework reflecting distinct strategic leadership orientations. Following a qualitative approach based on semi-structured interviews with SME leaders and an Interpretative Phenomenological Analysis (IPA) this conceptual framework contributes by reframing GenAI adoption as a complex, nonlinear process rather than a straightforward diffusion model, that includes four strategic profiles (Strategic Adopters, Aspiring Adopters, Opportunistic Adopters, and Operational Stabilizers) that affect a dynamic relationship between three key adoption dimensions: intention, motivation, and resource allocation. SME leaders can benefit from a delimitation of their strategic and operational goals while overcoming adoption barriers. info:eu-repo/semantics/publishedVersion MDPI http://hdl.handle.net/20.500.14342/5971 https://doi.org/10.3390/admsci15120494
spellingShingle A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV
Penarroya-Farell, Montserrat
GenAI
SMEs
Leadership behavior
Technology adoption
Strategic alignnment
Complexity theory
004
62
65
title A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV
title_full A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV
title_fullStr A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV
title_full_unstemmed A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV
title_short A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV
title_sort A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV
topic GenAI
SMEs
Leadership behavior
Technology adoption
Strategic alignnment
Complexity theory
004
62
65
topic_facet GenAI
SMEs
Leadership behavior
Technology adoption
Strategic alignnment
Complexity theory
004
62
65
url http://hdl.handle.net/20.500.14342/5971
https://doi.org/10.3390/admsci15120494