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Communications of the Association for Information Systems

Author ORCID Identifier

Rahul Dwivedi: https://orcid.org/0000-0001-9994-1991

George Mangalaraj: https://orcid.org/0000-0003-1024-5477

Abstract

Cybersecurity remains a significant area of concern and interest for organizations and researchers. Despite the attention it has attracted among scholars, there has yet to be a systematic effort to investigate the relevance and rigor of prior research. This study aims to fill this void. Specifically, we leverage BERTopic modeling and OpenAI's LLM capability to derive 19 topics from cybersecurity research published in premier Information Systems (IS) journals, representing both technical and social/behavioral aspects. We then mapped these research topics on the National Institute of Standards and Technology's (NIST) Cybersecurity Framework (CSF) to examine the relevance of prior research. Our analysis reveals that IS research covers all the core functions of NIST CSF at varying levels. We further examine the rigor of the published research by inspecting its theoretical and methodological bases. IS researchers have anchored their studies in diverse theoretical and methodological approaches, with some theories/methods being more dominant. Our study affirms that IS cybersecurity research is both relevant and rigorous and discusses opportunities for advancing its intellectual boundaries through targeted research.

DOI

10.17705/1CAIS.05737

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