Abstract:
In recent years, the information systems (IS) research community has given AI more focus. However,
there is increasing worry that research on AI may not experience the kind of cumulative building of
knowledge that has previously eclipsed IS research. By performing a thorough literature review of AI
research in IS between 2005 and 2020, this study addresses this concern. A synthesis of the key themes
relevant to this research is provided. The search strategy produced 1877 studies, of which 98 were
classified as primary studies. Thus, this study contributes significantly to (i) the present reported business
value and contributions of AI, (ii) the research and practical implications of the use of AI, and (iii) the
opportunities for the future application of AI. This is a review article on AI as it has grown in popularity
as a result of Big Data, advanced algorithms, and increased computing power and storage, AI systems are
becoming an embedded component of digital systems, and have a significant influence on human decisionmaking.
As a result, there is a growing need for information systems researchers to investigate and
comprehend the implications of AI for decision-making, as well as to add to AI's theoretical advancement
and practical success.
