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.
