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Journal article Open Access Scopus Source The journal / series is indexed in Scopus (SCImago list). The article itself has not been verified. 9 Citations Quartil Q1

A meta analysis of TOE factors driving organizational adoption of artificial intelligence across industries

Agostinho Sousa Pinto , António Abreu , Manuel Pérez Cota , Jerónimo Paiva
ISLA — Instituto Politécnico de Gestão e Tecnologia
Discover Artificial Intelligence, 24 12 2025

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Abstract
Abstract The artificial intelligence (AI) revolution is transforming the corporate sector and rapidly accelerating the process of digital transformation. Based on a selection of 12 studies for meta-analysis with 3398 respondents from various industries and countries, this study investigates the factors influencing the adoption of AI via the technology-organization-environment (TOE) framework. The results show that seven out of eight TOE factors have a statistically significant effect on AI adoption. Technological factors, including compatibility (CPT) and relative advantage (ADV), have a positive impact, whereas complexity (OCX) is statistically insignificant. Organizational factors, particularly organizational readiness (RE) and management support (TMS), have positive moderating effects. The environmental factors revealed that government support (GOV), competitive pressure (COP) and the vendor partnership (VP) have strong and positive impacts. The study emphasizes the importance of the Vendor Partnership and Organizational Readiness as critical factors in fostering AI adoption. Finally, this research will be advantageous for researchers and practitioners looking to explore the determinants driving significant AI adoption.

Keywords

#artificial intelligence adoption #technology-organization-environment framework #technology compatibility #relative advantage #organizational complexity #organizational readiness #top management support #government support #competitive pressure #vendor partnerships #Digital transformation #industry comparison #General partnership #business #Knowledge Management #Driving factors #Marketing

Bibliographic Details

Publication Type Journal article
Publication Year 2025
Journal / Conference / Work Discover Artificial Intelligence
Quartile (SCImago) Q1
Scopus Indexing Indexed source (via SCImago)

ISLA Authors & Affiliations

J
Jerónimo Paiva
jeronimob12@gmail.com ID: E213-FCEF-C8C1
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J
José Agostinho de Sousa Pinto
apinto@iscap.ipp.pt ID: E510-C11B-61BE
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