From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
The publisher issue roster classifies this as a review article on theorizing AI in organization and management through rationality and anthropomorphism.
Scope: publisher issue-roster title and article-type metadata
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (23)
- When and How Artificial Intelligence Augments Employee Creativity
- Artificial Intelligence and Management: The Automation-Augmentation Paradox
- Managing with Artificial Intelligence: An Integrative Framework
- “Collaborating” with AI: Taking a System View to Explore the Future of Work
- Competitive Advantage Through Artificial Intelligence: Toward a Theory of Situated AI
- When Conscientious Employees Meet Intelligent Machines: An Integrative Approach Inspired by Complementarity Theory and Role Theory
- Managing by Data: Algorithmic Categories and Organizing
- How Professionals Adapt to Artificial Intelligence: The Role of Intertwined Boundary Work
- In the Land of the Blind, the One-Eyed Man Is King: Knowledge Brokerage in the Age of Learning Algorithms
- Artificial Intelligence, Trust, and Perceptions of Agency
- Taming Artificial Intelligence: A Theory of Control-Accountability Alignment among AI Developers and Users
- When Knowledge Work and Analytical Technologies Collide: The Practices and Consequences of Black Boxing Algorithmic Technologies
- Are the Futures Computable? Knightian Uncertainty and Artificial Intelligence
- Combining Human and Artificial Intelligence: Hybrid Problem-Solving in Organizations
- Human Trust in Artificial Intelligence: Review of Empirical Research
- Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning
- Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
- Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
- Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality
- Friend or Foe? Teaming Between Artificial Intelligence and Workers with Variation in Experience
- Algorithms at Work: The New Contested Terrain of Control
- The Role of Artificial Intelligence and Data Network Effects for Creating User Value
- To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis
Cited by (3)
- Curse or Blessing: Investigating the Influence of Firms’ Artificial Intelligence Adoption on Employee Job Satisfaction
- The Acceleration of Artificial Intelligence: Rethinking Organization and Work in an Era of Rapid Technological Change
- The Dark Side of Managing Human–AI Collaborations: Implications for Leaders’ Moral Relativism and Unethical Behaviour
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- The direct Wiley TOC returned HTTP 403; the retained public-search rendering supplied title, authors, date, pages, and article type.
- No abstract or full text was inspected, so the claim is limited to title-level metadata.
- Crossref DOI corroboration is retained in crossref_jms_v63n2_bibliographic.json (SHA256 f95731813c5cd409d95c9927fcb5ce6af942448ed1a73d1fd8e2689652cee355).
Source independence
corroborated:crossref-api-metadata