doi.org/10.70175/aistrategy.2026
eISSN: 3144-590X
About the Journal:
AI Strategy: The Journal of Organizational AI Implementation, Transformation, and Competitive Advantage is a multidisciplinary academic publication dedicated to advancing the understanding and practice of strategic artificial intelligence adoption in organizational contexts. Our mission is to bridge scholarship across strategic management, information systems, organizational transformation, and AI governance to understand how organizations successfully implement, scale, and derive competitive advantage from artificial intelligence technologies.
AI Strategy publishes rigorously peer-reviewed articles, empirical studies, and theoretical frameworks that showcase:
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Original research examining the strategic, operational, and organizational factors that enable or constrain successful AI adoption, implementation, and scaling across industries and organizational contexts
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Empirical and theoretical investigations into AI-driven business transformation, including organizational redesign, process innovation, business model evolution, and the creation of sustainable competitive advantage through intelligent technologies
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Cross-disciplinary scholarship integrating insights from strategic management, computer science, organizational behavior, economics, and innovation studies to develop comprehensive frameworks for AI strategy formulation and execution
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Evidence-based frameworks for understanding AI readiness assessment, change management, workforce transformation, ethical AI governance, and the design of AI-enabled organizational capabilities
We prioritize work that addresses both technical and human dimensions of AI implementation. Our aim is to provide a publishing space that advances theoretical understanding and practical guidance for organizations navigating AI transformation—from startups to multinational corporations, public sector agencies to nonprofit organizations.
Through rigorous, integrative inquiry, AI Strategy amplifies scholarship that transforms how organizations strategize, implement, and leverage artificial intelligence for innovation and competitive advantage. We welcome submissions from researchers and practitioners across strategic management, information systems, digital transformation, innovation management, AI ethics and governance, and related fields.
AI Strategy aims to advance the science of organizational AI adoption through the global exchange of empirically grounded, theoretically robust knowledge. Quantitative and qualitative research, mixed-methods studies, systematic reviews, meta-analyses, case studies, practitioner-oriented frameworks, and conceptual articles exploring AI implementation, digital transformation, and strategic technology management are welcomed.
The journal provides a forum for the rapid dissemination of rigorously peer-reviewed research, case studies, assessments, and commentary on contemporary issues relating to AI strategy development, implementation challenges, organizational change, competitive positioning, and the evolving understanding of how artificial intelligence reshapes organizational capabilities and market dynamics.
By integrating technical insights with organizational and strategic perspectives, AI Strategy amplifies scholarship that transforms how organizations harness artificial intelligence to drive innovation, efficiency, and sustainable competitive advantage while addressing critical challenges of workforce impact, ethical deployment, and responsible AI governance.
There is no publication fee associated with this journal and all articles are published Open Access.
Editorial Team
Privacy Statement: The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
Statement on Open Access: This is an open access journal, which means that all content is freely available without charge to the user or their institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access.
HCI Academic Press
Orem, Utah, USA



