Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/319041 
Year of Publication: 
2025
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 35 [Issue:] 1 [Article No.:] 13 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2025
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
Artificial intelligence (AI) has the potential to transform the way research is conducted, particularly through generative AI (GenAI) tools which can enhance written communication and foster innovation via knowledge development. This study focuses on the latter, examining the role of GenAI in specific knowledge development activities within literature reviews. Through an epistemological lens, we distinguish six key knowledge development activities: research synthesis, evidence aggregation, critique, theory building, research gap identification, and research agenda development. Our analysis demonstrates both the capabilities and limitations of GenAI in supporting these activities, highlighting how GenAI can assist in synthesizing previous work, discovering and integrating concepts, and advancing various knowledge domains. We emphasize a human-centered, synergistic approach where GenAI complements researchers’ efforts, rather than replacing them. Additionally, our activity-centric analysis provides insights into how different types of literature reviews can effectively benefit from GenAI support, thereby contributing to a broader understanding of AI integration in information systems research.
Subjects: 
Generative AI
Literature reviews
Knowledge development
Innovation goal
JEL: 
M00
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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