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Adopting generative AI for literature reviews: An epistemological perspective

Guido Schryen, Mauricio Marrone, Jiaqi Yang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

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Abstract

Artificial Intelligence (AI) and machine learning are becoming increasingly influential in research. Within this context, generative AI tools like ChatGPT serve two main purposes: the improvement of writing (communication goal) and the generation of new ideas (innovation goal). The latter goal has been less explored and is therefore the focus of this article. We specifically look at how these generative AI tools can aid in the development of literature reviews within the realm of information systems research. We adopt an epistemological lens, distinguishing various knowledge-building activities. Our analysis evaluates how well generative AI tools support these tasks and offers insights tailored to different types of literature reviews.
Original languageEnglish
Title of host publicationHICSS 2024
Subtitle of host publicationProceedings of the 57th Hawaii International Conference on System Science
EditorsTung X. Bui
Place of PublicationHonolulu, Hawaii
Pages4020-4029
Number of pages10
ISBN (Electronic)9780998133171
Publication statusPublished - 2024
EventAnnual Hawaii International Conference on System Sciences (57th : 2024) - Hawaii, United States
Duration: 3 Jan 20246 Jan 2024

Publication series

NameAnnual Hawaii International Conference on System Sciences
ISSN (Electronic)2572-6862

Conference

ConferenceAnnual Hawaii International Conference on System Sciences (57th : 2024)
Country/TerritoryUnited States
CityHawaii
Period3/01/246/01/24

Keywords

  • Generative AI
  • Literature reviews
  • Knowledge development
  • Innovation goal

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