Unfolding the Potential of Generative Artificial Intelligence

Scholars are increasingly using generative artificial intelligence (AI) chatbots, like ChatGPT, in research, though concerns remain about ethics, data privacy, bias, and intellectual property. This study adopts a design science research approach to explore how generative AI chatbots can support academic teaching and research, bridging theory and practice. A literature review and expert interviews identified key requirements and design principles that support virtues such as uniqueness, generalizability, and reproducibility. We also introduce a prototype, “AcademiaBot,” to demonstrate these principles in action. Our findings suggest that AI chatbots can significantly aid scholarly work if users are informed and ethical concerns are addressed. Responsible usage can help AI augment human research efforts without compromising integrity. This study provides valuable design knowledge, ensuring AI-based chatbots remain a beneficial tool for scholars.

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Institutions

Publication Details

Journal
International Journal of Knowledge Management
Published
2025-02-01
DOI
https://doi.org/10.4018/ijkm.368223
Citations
6
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
13.70
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article

Unfolding the Potential of Generative Artificial Intelligence

Severin Bonnet, Frank Teuteberg
6 citations
International Journal of Knowledge Management
Big Data and Business Intelligence
13.70
article

Unfolding the Potential of Generative Artificial Intelligence

Severin Bonnet, Frank Teuteberg
article en
6 citations

Abstract

Scholars are increasingly using generative artificial intelligence (AI) chatbots, like ChatGPT, in research, though concerns remain about ethics, data privacy, bias, and intellectual property. This study adopts a design science research approach to explore how generative AI chatbots can support academic teaching and research, bridging theory and practice. A literature review and expert interviews identified key requirements and design principles that support virtues such as uniqueness, generalizability, and reproducibility. We also introduce a prototype, “AcademiaBot,” to demonstrate these principles in action. Our findings suggest that AI chatbots can significantly aid scholarly work if users are informed and ethical concerns are addressed. Responsible usage can help AI augment human research efforts without compromising integrity. This study provides valuable design knowledge, ensuring AI-based chatbots remain a beneficial tool for scholars.

International Journal of Knowledge ManagementVol. 21(1)
Osnabrück University (DE)
Openalex Percentile: Top 2%
Big Data and Business Intelligence
13.70
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Unfolding the Potential of Generative Artificial Intelligence — Severin Bonnet, Frank Teuteberg · International Journal of Knowledge Management (2025) | TGRS Research Map | TGRS