Artificial intelligence and the conduct of literature reviews

Autor:	Roman Lukyanenko, Gerit Wagner, Guy Paré
Rok vydání:	2021
Předmět:	business.industry Computer science Strategy and Management Context (language use) Artificial intelligence Library and Information Sciences business Automation Information Systems
Zdroj:	Journal of Information Technology. 37:209-226
ISSN:	1466-4437 0268-3962
DOI:	10.1177/02683962211048201
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::982c65708edaf24035fe41eb2bb95a84 https://doi.org/10.1177/02683962211048201 Zobrazit plný text záznamu