The adoption of artificial intelligence (AI) has increasingly taken hold across global businesses. Although research exists in this domain, very little is known about the adoption factors and necessary AI specifications to ensure successful organisational adoption of this technological innovation. The present study fills this gap in the literature through the analysis of the adoption process of AI. The conceptual framework of this research is based on the technology–organisation–environment (TOE) framework and the diffusion of innovation theory (DOI) for assessing the adoption process of AI from an organisational perspective. The conceptual framework was tested and validated through the use of semistructured interviews conducted in Australia with18 expert interviewees regarding its applicability to the AI adoption process. The findings indicate that relative advantage, compatibility, top management support, management obstacles, organisational readiness, and government regulatory support are important determinants of AI adoption. In terms of academic contribution, this research provides an improved understanding of the critical factors relating to the adoption of AI from the perspective of organisations. The empirical results further support the applicability of using the DOI and the TOE framework at the organisational level, to further understand AI adoption. With regards to practical implications, this research provides Australian organisations with relevant suggestions with regard to how the adoption of AI can be improved.
Alsheibani, Sulaiman; Messom, Chris; Cheung, Yen; and Alhosni, Mazoon, "Artificial Intelligence Beyond the Hype: Exploring the Organisation Adoption Factors" (2020). ACIS 2020 Proceedings. 33.