The emergence and growing interest in Artificial Intelligence (AI) will have increasing societal implications influencing, the responsibilities of decision-makers and policy analysts. Although an extensive body of literature relating to AI techniques already exists, this is not the case for AI adoption in organisations. This research-in-progress seeks to propose a research framework for AI adoption at firm level. To do so, two popular theories are considered: The Technology- Organisations-Environment (TOE) framework, and Diffusion of Innovation theory (DOI). This paper presents an in-depth interpretation of these theories for the adoption of AI technologies and proposes an AI adoption framework at firm level. A mixed methods research approach is proposed to test and validate the framework. Further work in this project will involve developing the research instrument for data collection via a survey targeted at firms.
Alsheibani, Sulaiman; Cheung, Yen; and Messom, Chris, "Artificial Intelligence Adoption: AI-readiness at Firm-Level" (2018). PACIS 2018 Proceedings. 37.