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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月24日

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  • Agostinho Sousa Pinto,
  • António Abreu,
  • Manuel Pérez Cota,
  • Jerónimo Paiva

摘要

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.