AI Adoption as an Organizational Capability

Authors

  • Justin Barnes Author

Keywords:

AI adoption, organizational capability, strategy, productivity, digital transformation

Abstract

This review examines artificial-intelligence adoption as an organizational capability. The organizing question is which complementary skills, processes, data, leadership, and learning routines convert tools into verifiable value. Ten related scholarly sources are synthesized through a decision-centered framework spanning problem definition, mechanism, measurement, evaluation, implementation, and governance. The review does not invent experiments, pooled estimates, or unreported quantitative results. It instead evaluates the strength and transferability of the available evidence, with particular attention to attributing outcomes to the model while ignoring organizational redesign and selection. The resulting framework links technical or empirical performance to explicit use conditions and identifies tests that should precede wider adoption in enterprise strategy and technology management.

References

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Published

2026-08-08

Issue

Vol. 1 (2026): Archive

Section

Review

License

Copyright (c) 2026 Enterprise, Policy and Economic Dynamics

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This work is licensed under a Creative Commons Attribution 4.0 International License.