Exploring the Drivers of AI Adoption: A Meta-Analysis of Technological, Organizational and Environmental (TOE) Factors

Read the full article See related articles

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

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 using 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, while Complexity (CX) was found to be statistically insignificant. Organizational factors, particularly Organizational Readiness (RE) and Management Support (MS) have a positive moderate effect. Environmental factors reveal that Government Support (GOV), Competitive Pressure (COP) and Vendor Partnership (VP) have a strong and positive impact. The study emphasizes the importance of 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.

Article activity feed