Artificial Intelligence Disclosure and Investor Confidence: Evidence from Publicly Listed Technology Firms
Keywords:
Artificial Intelligence Disclosure, Investor Technology Literacy, Investor Confidence, Information Asymmetry, Quantitative AnalysisAbstract
This study examines the effect of Artificial Intelligence (AI) disclosure and investor technology literacy on investor confidence in technology companies listed on the stock exchange. As AI becomes increasingly integrated into corporate operations, the need for transparent disclosure and the ability of investors to interpret such information has become more critical in shaping investment decisions. This research adopts a quantitative approach using survey data collected from 100 investors. Data were measured using a five-point Likert scale and analyzed using SPSS version 25 with multiple linear regression analysis. The results show that both AI disclosure and investor technology literacy have a significant positive effect on investor confidence. AI disclosure reduces information asymmetry by increasing transparency regarding the use of AI in corporate activities, while investor technology literacy enhances the ability to understand and evaluate such disclosures. The model explains 61% of the variation in investor confidence, indicating a strong explanatory power of the proposed variables. The study concludes that effective AI disclosure combined with high investor technology literacy plays a crucial role in strengthening investor confidence in technology-driven capital markets. These findings contribute to disclosure theory and behavioral finance literature while providing practical implications for corporate reporting practices and investor education programs.
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