Exploring the social and technical factors in organisational AI adoption: A systematic literature review

Abstract

Embedding artificial intelligence as part of an organisation’s analytics portfolio can lead to better data-driven business insight, optimised IT systems for greater reliability, and new AI-enabled innovations. However, organisations are struggling to achieve these potential benefits. This paper reviews 45 publications across the Basket of Eight and MIS Quarterly Executive. The study aims to highlight the state-of-the-art information systems research on organisational AI adoption and how to embed AI in organisations. A combination of manual analysis and augmented AI through topic modelling was utilised to conduct the systematic literature review. The literature review confirms that an AI-supported method to conduct a literature review is efficient, but human insight is still required. From the topic modelling analysis, four underlying research themes emerged: AI to support decisionmaking and its effect on the social side, design of AI solutions, bringing value to business and humans, and lastly, the challenges of embedding AI in organisations. Furthermore, state-of-the-art research is discussed, and the requirement for a holistic sociotechnical view on how organisations can increase the adoption of AI as part of their quest to become more data-driven is highlighted.