Artificial intelligence and the conduct of literature reviews. (June 2022)

• Record Type: Journal Article
• Authors: Wagner, Gerit; Lukyanenko, Roman; Paré, Guy
• Is Part Of: Journal of information technology. Volume 37:Number 2(2022)
• Page Start: 209
• Page End: 226
• Publication Date: 2022-06
• Subjects: Artificial intelligence -- machine learning -- natural language processing -- research data management -- data infrastructure -- automation -- literature review; Information technology -- Periodicals; Information storage and retrieval systems -- Periodicals; Information resources management -- Periodicals; 658.40380285
• DOI: 10.1177/02683962211048201
• Languages: English
• ISSNs: 0268-3962

Abstract

Artificial intelligence (AI) is beginning to transform traditional research practices in many areas. In this context, literature reviews stand out because they operate on large and rapidly growing volumes of documents, that is, partially structured (meta)data, and pervade almost every type of paper published in information systems research or related social science disciplines. To familiarize researchers with some of the recent trends in this area, we outline how AI can expedite individual steps of the literature review process. Considering that the use of AI in this context is in an early stage of development, we propose a comprehensive research agenda for AI-based literature reviews (AILRs) in our field. With this agenda, we would like to encourage design science research and a broader constructive discourse on shaping the future of AILRs in research.