Readability, Governance, and Strategic Transparency in Corporate Narrative Disclosures: An Integrative Examination of Financial Reporting Quality
Abstract
Corporate narrative disclosures occupy a central position in modern financial reporting, serving as the primary medium through which firms communicate performance, strategy, risks, and governance practices to a diverse set of stakeholders. Over the past several decades, accounting and finance scholarship has increasingly recognized that the usefulness of these disclosures depends not only on their informational content but also on their linguistic characteristics, particularly readability, clarity, conciseness, and balance. This study develops a comprehensive and integrative examination of the determinants, mechanisms, and consequences of narrative disclosure readability within the broader context of corporate governance and regulatory frameworks. Drawing strictly on foundational and contemporary literature in accounting, corporate governance, and disclosure regulation, this article synthesizes insights from readability theory, agency theory, signaling theory, and behavioral finance to explain why firms differ systematically in the complexity of their annual reports and regulatory filings.
The study advances prior research by theoretically connecting readability measures, such as those derived from established linguistic formulas, with governance structures including board composition, gender diversity, and oversight effectiveness. It further examines how regulatory interventions emphasizing plain English disclosure have reshaped managerial incentives and disclosure practices over time. Through an extensive qualitative and descriptive methodological approach, the article explains how reporting complexity influences investor behavior, earnings persistence interpretation, and market efficiency, while also considering managerial obfuscation as a strategic response to performance pressures and governance constraints.
The findings synthesized in this study suggest that more readable disclosures are generally associated with higher earnings persistence, lower information asymmetry, and more informed investor trading. However, the relationship is nuanced and contingent upon firm size, governance quality, regulatory environment, and managerial incentives. The discussion highlights unresolved tensions between completeness and conciseness, transparency and strategic opacity, and regulatory standardization versus managerial discretion. By offering a deeply elaborated theoretical framework and identifying critical gaps in existing literature, this article provides a foundation for future empirical and interdisciplinary research on narrative financial reporting and corporate transparency.
Keywords
References
How to Cite
Most read articles by the same author(s)
- Dr. Elena M. Duarte, The R1-MYB Transcription Factor CmREVEILLE2 Activates Chlorophyll Biosynthesis to Mediate Light-Induced Greening in Chrysanthemum Flowers , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Lukas M. Verhoeven, Integrating Artificial Intelligence and Advanced Data Processing for Real-Time Credit Scoring: Theoretical Foundations, Methodological Innovations, and Implications for Contemporary Credit Risk Management , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Gennarik L. Mortenkov, Synergizing Business Intelligence and Artificial Intelligence for Competitive Advantage: A Multi-Dimensional Analysis of Organizational Resilience and Decision-Making Frameworks , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Rahul S. Menon, Converging High-Speed Ethernet Technologies for Automotive and Data-Center Domains: Performance, Modulation, and Electromagnetic Considerations for 10 Gb/s Links , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Amrita K. Desai, Secure, Cost-Optimal, and Integrity-Preserving Data Migration: A Unified Framework for Moving Enterprise Workloads from Proprietary to Open-Source Cloud Databases , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Miguel Alvarez, Artificial Intelligence-Driven Transformation of Fleet Management and Sustainable Transportation: Integrated Strategies, Theoretical Foundations, and Practical Implications , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Abimbola Bassey, ASSESSING THE TEMPERATURE-VISCOSITY RELATIONSHIP IN LOCALLY SOURCED VEGETABLE OILS , Global Multidisciplinary Journal: Vol. 3 No. 11 (2024): Volume 03 Issue 11
- Dr. Arjun Mehta, Artificial Intelligence–Driven Hierarchical Supply Chain Planning: Toward a Unified Framework for Visibility, Demand Forecasting, and Sustainable Optimization , Global Multidisciplinary Journal: Vol. 4 No. 05 (2025): Volume 04 Issue 05
- Dr. Elena Martínez, Integrating Agility, Digital Intelligence, and Sustainable Urban Logistics: A Comprehensive Framework for Resilient Modern Supply Chains , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elias Van der Meer, Strategic Cybersecurity Governance And Risk-Based Policy Integration In Contemporary Organizations , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
Similar Articles
- Dr. Amelia Torres, Transforming Merger and Acquisition Practice through Artificial Intelligence: A Theoretical and Applied Framework for AI-Enabled Due Diligence and Decision-Making , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Lukas Reinhardt, Financial Management Practices, Literacy, and Strategic Orientation in Small and Medium-Sized Enterprises: An Integrated Theoretical and Empirical Perspective , Global Multidisciplinary Journal: Vol. 4 No. 05 (2025): Volume 04 Issue 05
- Rahul Sen, Eclipses, Leverage, And Long-Term Value: A Comprehensive Reassessment Of Private Equity, Leveraged Buyouts, And Financial Distress In Modern Capitalism , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Everett D. Langford, Financially Resilient Intelligent Systems: Integrating Machine Learning Architectures, Explainability, and Cross-Domain Evidence for Next-Generation Transaction Fraud Detection , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Dr. Emma L. Carter, Private Equity, Leverage, and Distress Resolution: Governance, Investment Behavior, and Long-Run Value in Leveraged Buyouts , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Shivam R. Montague, Zero-Trust Architecture And Artificial Intelligence In Financial And Healthcare Systems: Enhancing Security, Compliance, And Data Integrity , Global Multidisciplinary Journal: Vol. 4 No. 08 (2025): Volume 04 Issue 08
- Dr. Miguel Alvarez, Artificial Intelligence-Driven Transformation of Fleet Management and Sustainable Transportation: Integrated Strategies, Theoretical Foundations, and Practical Implications , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Alejandro M. Torres, Artificial Intelligence–Enabled Financial Anomaly Detection and Reconciliation: Governance, Risk, and Explainability in Modern Accounting Ecosystems , Global Multidisciplinary Journal: Vol. 4 No. 08 (2025): Volume 04 Issue 08
- Alexander P. Hofmann, Intelligent Governance Architectures for Regulated Digital States: Integrating Compliance, Risk, and Cybersecurity through Artificial Intelligence and Internet of Things Enabled Public Services , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Patrick L. Grayson, Behavioral Biometric Intelligence and Regulatory Convergence in Retirement Account Protection: An AI Driven Security Architecture for 401k Platforms , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
You may also start an advanced similarity search for this article.