About the Journal

Aims

The Journal of AI Ecosystems examines how artificial intelligence is developed, adopted, governed and used through relationships among organisations, people, platforms, data providers and public institutions. It advances understanding of the organisational and societal arrangements that enable AI, distribute its benefits and risks, and shape accountability for its use.

The journal brings together perspectives from business and management, information systems, innovation studies, public policy and the social sciences. Its central concern is AI as an interconnected organisational and societal phenomenon, including the coordination, dependencies and power relationships that emerge around AI technologies.

Scope

Topics of interest include:

  • Organisational adoption, implementation and integration of AI.
  • AI platforms, data ecosystems, infrastructure and technology partnerships.
  • AI governance, accountability, transparency and responsible deployment.
  • Human–AI decision-making, trust, oversight and allocation of responsibility.
  • Generative AI and the transformation of organisational processes and services.
  • AI entrepreneurship, business models, value creation and value distribution.
  • Access to AI, digital inequality and the societal consequences of deployment.
  • Institutional and regulatory influences on AI development and diffusion.
  • Comparative studies of AI ecosystems across sectors and national contexts.

Contributions and Scope Boundaries

The journal welcomes empirical, conceptual and theoretical studies, rigorous reviews and comparative case studies. Contributions should explain how AI interacts with organisational, institutional or societal arrangements. Studies of individual organisations or applications are appropriate when they illuminate relationships or mechanisms relevant to the wider AI ecosystem.

AI must be a substantive object of inquiry rather than solely a method of data analysis. Algorithm development, engineering benchmarks and predictive modelling without an organisational or societal contribution fall outside the journal's scope. Studies whose principal contribution concerns financial outcomes, learning outcomes or employment experiences should establish a distinct contribution to AI adoption, coordination or governance to fit this journal.

Publication and editorial information

Published by CalbisPress. Editor-in-Chief: Selim Zaim.

Gold Open Access; quarterly publication in January, April, July and October, with the first issue scheduled for January 2027. No submission or article processing charges currently apply. Articles are published under CC BY 4.0; authors retain copyright.

Submissions undergo editorial screening and double-anonymous peer review by at least two independent reviewers.

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