European Journal of Digital Economy Research

A Review of Yi-Cheng Zhang’s Matchmakers and Markets: The Revolutionary Role of Information in the Economy

2025-01-26T18:02:54+03:00

This book review paper explores complexity economic theory, challenging to traditional theories by emphasizing the evolving role of information and digital intermediaries, or "matchmakers," in modern market dynamics. The author critiques mainstream economic theories, focusing on how market mechanisms and growth theory transform in a networked economy where information plays a crucial role in shaping consumer behavior, market design, and economic growth. While the writer introduces new concepts without empirical evidence, they provide relevant contextual analysis. As a result, the book can be particularly valuable for readers without an economics background seeking to understand the modern economy.

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2025-06-13T21:51:36+03:00

A Conceptual Study on the Effects of Artificial Intelligence in Managerial Decision-Making

2025-05-31T18:42:31+03:00

This study examines the transformative role of artificial intelligence (AI) in managerial decision-making, addressing a critical gap in the literature: the under-explored intersection of AI technologies and managerial cognition. While existing research emphasizes technical and operational aspects of AI, this paper synthesizes classical decision-making theories—bounded rationality, Mintzberg’s managerial roles, and socio-technical systems theory—to analyze how AI reshapes human judgment, strategic foresight, and leadership dynamics. Through sector-specific applications and empirical insights, we demonstrate AI’s dual capacity as a cognitive partner (enhancing decision accuracy and efficiency) and a disruptor (introducing ethical dilemmas and skill demands). The study introduces the concept of “augmented leadership,” proposing that managers must evolve into hybrid professionals who integrate AI-driven insights with emotional intelligence and ethical reasoning. Key contributions include a framework for human-AI collaboration, sector-aware strategies for AI adoption, and actionable recommendations for mitigating algorithmic bias and fostering transparency. By bridging theoretical rigor with practical relevance, this research offers critical insights for academics exploring AI’s cognitive implications, practitioners navigating digital transformation, and policymakers designing governance frameworks for the AI-augmented workplace.

Digital Transformation in Internal Audit: Paradigm Shifts, Emerging Risks, and Strategic Resilience

2025-04-15T15:00:22+03:00

Digital transformation is fundamentally reshaping internal audit practices, transitioning traditional manual processes into technology-driven methodologies and redefining the role of auditors. This study explores how advancements in artificial intelligence (AI), blockchain, robotic process automation (RPA), and data analytics are revolutionizing audit paradigms, enabling real-time transaction analysis, continuous monitoring, and enhanced detection of anomalies. While these innovations improve efficiency, accuracy, and strategic value, they introduce multifaceted risks, including sophisticated cybersecurity threats, algorithmic biases, and vulnerabilities in data privacy. For instance, AI-driven audits risk perpetuating systemic inequities if trained on flawed datasets, while cloud adoption amplifies exposure to ransomware and supply chain attacks. Concurrently, auditors face a significant skills gap, with many lacking proficiency in advanced technologies despite widespread recognition of their necessity, underscoring the urgent need for upskilling initiatives. The research emphasizes the evolving dual responsibilities of internal auditors, who must now balance assurance roles with advisory functions—guiding organizations through digital adoption while ensuring ethical AI governance and compliance with dynamic regulations. Sector-specific challenges, such as auditing decentralized ledgers in supply chains or safeguarding sensitive health records, highlight the need for tailored solutions. Persistent barriers include resistance to automation, resource disparities between firms, and regulatory ambiguities surrounding emerging technologies. To navigate this transformation, the study advocates for hybrid skill development, ethical frameworks to ensure AI transparency, and collaborative efforts to democratize access to digital tools. By addressing these challenges, internal audit functions can harness digitalization to strengthen governance, foster stakeholder trust, and enhance organizational resilience in an increasingly complex risk landscape.

2025-06-13T21:53:05+03:00

Decolonizing Knowledge Without Barriers: The Role of Independent Publishing in Global Academia

2025-06-10T17:58:15+03:00

A Name Pioneering Health Sociology in Türkiye: Assoc. Prof. Dr. Elif Kaya

2025-05-07T05:44:50+03:00