Adopting Generative AI for Literature Reviews: An Epistemological Perspective

Date
2024-01-03
Authors
Schryen, Guido
Marrone, Mauricio
Yang, Jiaqi
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
4020
Ending Page
Alternative Title
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.
Description
Keywords
Artificial Intelligence-based Assistants and Platforms, generative ai, innovation goal, knowledge development, literature reviews
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 57th Hawaii International Conference on System Sciences
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.