Archives

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  AI-Driven Enterprises: Challenges of Governance and Transformation

  Vol. 2 No. 1 (2026)

  This issue explores the evolving landscape of enterprises powered by artificial intelligence, focusing on the organizational, ethical, and strategic challenges that arise as AI becomes integral to business operations and decision-making. As companies adopt intelligent systems to enhance efficiency, adaptability, and innovation, new questions emerge around accountability, transparency, data governance, regulatory compliance, and human oversight. This collection examines how enterprises can responsibly govern AI technologies while navigating complex transformations in leadership, structure, and culture.

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  Human+Machine: Rethinking Intelligence, Work, and Authorship

  Vol. 1 No. 2 (2025)

  In this issue of The Artificial Intelligence Business Review, we explore the dynamic interplay between human expertise and machine intelligence across professional, academic, and creative domains. As artificial intelligence becomes deeply embedded in the structures of work, knowledge production, and innovation, new challenges—and opportunities—are emerging.

  The articles featured in this volume examine how AI is not only automating tasks but also augmenting human roles, prompting a redefinition of productivity, creativity, and intellectual credit. From ethical considerations and workforce adaptation to the evolving norms of authorship and collaboration, this issue captures a pivotal moment in the ongoing transformation of our relationship with intelligent systems.

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  AI Disruption & Governance in the Intelligent Enterprise Era

  Vol. 1 No. 1 (2025)

  This inaugural issue of The Artificial Intelligence Business Review explores the multifaceted impact of artificial intelligence across organizational, ethical, and technological dimensions. The collection features insights into AI-driven business innovation, the evolving dynamics of ethical governance in large language models such as ChatGPT and DeepSeek, and system adoption models including a modified TAM framework. Through interdisciplinary studies, the issue also examines sociotechnical challenges, hedonic system integration, and the emergence of agentic AI in modern enterprise contexts. Together, these contributions offer a holistic view of how AI is reshaping strategy, operations, and human interaction across industries.