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In particular, impressive GenAI capabilities such as summarization of large text corpora, question-answering, data extraction, and translation, carry profound implications for the conduct of literature reviews. This impacts science, organizations and the general public, as all can benefit from GenAI-supported literature reviews. Building on the technical foundations of GenAI and grounded in established methodological discourse, this work outlines approaches for conducting literature reviews using both general-purpose (e.g., ChatGPT, Gemini, Claude) and specialized GenAI tools (e.g., Consensus, Elicit). We provide illustrative examples of prompts and suggest methodologically-sound literature review strategies. Throughout this perspective paper, we adopt a balanced approach considering both the opportunities and the risks of relying on GenAI in the conduct of literature reviews. We conclude by discussing philosophical questions related to the effects of GenAI on long-term scientific progress, and also present fruitful opportunities for research on improving the core of GenAI\u2019s technology\u2014its architecture and training data\u2014and suggest open issues in GenAI-based literature reviews methodology.<\/jats:p>","DOI":"10.1177\/02683962261425675","type":"journal-article","created":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T01:24:46Z","timestamp":1770254686000},"page":"148-170","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Generative artificial intelligence for literature reviews"],"prefix":"10.1177","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3926-7717","authenticated-orcid":false,"given":"Gerit","family":"Wagner","sequence":"first","affiliation":[{"name":"Department of Information Systems and Applied Computer Sciences, University of Bamberg"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2682-8036","authenticated-orcid":false,"given":"Julian","family":"Prester","sequence":"additional","affiliation":[{"name":"School of Strategy, Innovation and Technology, University of Sydney"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1990-7767","authenticated-orcid":false,"given":"Reza","family":"Mousavi","sequence":"additional","affiliation":[{"name":"McIntire School of Commerce, University of Virginia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8125-5918","authenticated-orcid":false,"given":"Roman","family":"Lukyanenko","sequence":"additional","affiliation":[{"name":"McIntire School of Commerce, University of Virginia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7425-1994","authenticated-orcid":false,"given":"Guy","family":"Par\u00e9","sequence":"additional","affiliation":[{"name":"Department of Information Technologies, HEC Montr\u00e9al"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,2,20]]},"reference":[{"key":"e_1_3_5_2_1","doi-asserted-by":"crossref","unstructured":"Adams G Fabbri AR Ladhak F et al. 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