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.
Recommended Citation
Jarvenpaa, Sirkka and Klein, Stefan
(2024)
"New Frontiers in Information Systems Theorizing: Human-gAI Collaboration,"
Journal of the Association for Information Systems, 25(1), 110-121.
DOI: 10.17705/1jais.00868
Available at:
https://aisel.aisnet.org/jais/vol25/iss1/6
DOI
10.17705/1jais.00868
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