Technological advancements and the extensive collection of personal data have made the concept of information sensitivity increasingly significant. It has deeply permeated discussions on prominent topics such as privacy risks, data classification governance, and information security. Understanding the causes, mechanisms, and consequences of information sensitivity is of crucial importance. However, research findings on this topic remain fragmented, and conclusive results are lacking. This study aims to clarify the definition of information sensitivity in the digital age, synthesize relevant existing results, review its conceptual foundations and related methodologies, and provide suggestions for subsequent research. We reviewed the information systems literature to outline the dimensions, measurement methods, influencing factors, and consequences of information sensitivity. Our analysis reveals the research approaches and elements that shape information sensitivity. To guide future research, we propose an integrative framework regarding information sensitivity in the digital age, with a focus on AI-driven e-commerce scenarios.
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