Abstract

This study presents AI-driven research questions based on a unified model derived from a systematic literature review of information security scholarship across major business school disciplines outside Information Systems, including marketing, management, accounting, finance, entrepreneurship, and international business. The articles in consideration (a total of 72 papers) are drawn from leading journals represented in the ABS 4* and FT50 rankings. Through a systematic analysis, the study advances eight overarching constructs: (1) governmental regulations, (2) organizational policies, (3) supply chain partnerships, (4) mitigation tools and methods, (5) risk, (6) breach, (7) impact on shareholder value, and (8) innovation. These constructs provide a structured and integrative view of how information security has been examined across the broader business literature. These are further refined into 24 second-order constructs, offering a more granular view of the field. The study also identifies eight key relationships among these constructs, forming the basis of a unified model of information security research beyond the IS discipline. Building on this model, it advances a dozen AI-driven research questions that probe and potentially reshape these relationships. These questions are intended to guide future inquiry at the intersection of AI and information security. The intention is to present the unified model and the AI research questions at the TREO session, seeking input from the AIS research community to refine and advance this emerging cross-disciplinary agenda. The importance of this topic is underscored by recent calls for papers focusing on the intersection of Artificial Intelligence and Information Security (Cheah et al. 2025; Chen et al. 2024).

Download

Share

COinS