New Frontiers in Information Systems Theorizing: Human-gAI Collaboration

Jarvenpaa S; Klein S


Abstract
The Journal of the Association for Information Systems has long had a reputation for promoting theory development. Yet theory development can be experienced as risky and frustrating because of a lack of divergence and convergence—both in terms of ideas and in the social dynamics among human theorists. These dichotomies can stymie progress and lead to unfinished works. Misconceptions about theory can also hamper advances. We examine the ways in which generative artificial intelligence (gAI) tools may be useful in developing theory in information systems (IS) through human-gAI collaboration, thus forging new frontiers in IS theorizing.

Keywords
Theory in Information Systems; Generative AI; ChatGPT; Human-gAI Collaboration



Publication type
Research article (journal)

Peer reviewed
Yes

Publication status
Published

Year
2024

Journal
Journal of the AIS

Volume
25

Issue
1

Start page
110

End page
121

ISSN
1536-9323

DOI

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