Artificial, Emotional, and Narrative Intelligence in Corporate Disclosure and Decision-Making: An Integrative Accounting, Behavioral, and Information Systems Perspective

Abstract

The contemporary corporate reporting environment is undergoing a profound transformation driven by advances in artificial intelligence, growing recognition of emotional and behavioral dimensions of decision-making, and increasing regulatory and stakeholder scrutiny of financial and non-financial disclosures. This study develops an integrative theoretical analysis that connects artificial intelligence, emotional intelligence, managerial psychology, and voluntary disclosure behavior within accounting and corporate communication contexts. Drawing strictly on established literature in accounting, information systems, behavioral decision theory, and recent works on artificial and emotional intelligence, the article synthesizes insights from textual analysis of disclosures, CEO personality traits, signaling theory, and disclosure incentives. It examines how artificial intelligence tools influence access to scientific knowledge, student and employee cognition, and the preparation and interpretation of financial disclosures, while emotional intelligence shapes tone, narrative structure, and strategic disclosure decisions. The paper further explores how optimistic tone, disclosure length, and narrative complexity interact with managerial incentives, competitive pressures, and organizational structure. Methodologically, the study adopts a qualitative, theory-driven analytical approach, integrating prior empirical findings and conceptual frameworks to develop a cohesive explanation of disclosure behavior in AI-augmented environments. The results highlight that artificial intelligence amplifies both transparency and strategic obfuscation, while emotional intelligence moderates how information is framed and perceived. The discussion elaborates on theoretical implications for voluntary disclosure theory, signaling models, and behavioral accounting, while also addressing limitations inherent in text-based and interpretive research. The study concludes by outlining future research directions that integrate multimodal sentiment analysis, ethical considerations, and cross-cultural perspectives on intelligence-driven corporate reporting.