AI evidence extraction

New Frontiers in Information Systems Theorizing: Human-gAI Collaboration

Sirkka L. Järvenpää, Stefan Klein · Journal of the Association for Information Systems · 2024

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

9/10

Relevance

1/4

Quality (LMQS)

Evidence

Citations

25.71

FWCI

Top 10%

Impact

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.17705/1jais.00868

Methodology & findings

Study design

Conceptual analysis and theoretical examination of human-gAI collaboration in information systems theory development

Main result

The paper examines how "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." The authors identify that theory development challenges stem from "a lack of divergence and convergence—both in terms of ideas and in the social dynamics among human theorists."

Reports effect sizes.

Research paradigm

Interpretive/theoretical

Author conclusions

The authors conclude that "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." They position this as a response to longstanding challenges in IS theory development where "lack of divergence and convergence—both in terms of ideas and in the social dynamics among human theorists" have stymied progress.

Open questions raised

The authors identify gaps in theory development practice within IS research, specifically addressing misconceptions about theory and the need for better management of divergence and convergence in both ideas and social dynamics among theorists.
The paper identifies gaps in IS theorizing related to: (1) the lack of divergence and convergence in theory development, (2) social dynamics challenges among human theorists, (3) misconceptions about theory that hamper advances, and (4) unfinished theoretical works in the field.
The paper identifies gaps in understanding how to overcome challenges in theory development, specifically regarding lack of divergence and convergence in ideas and social dynamics among theorists, and misconceptions about theory that hamper advances.

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