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 abstract theorizes AI as an organizing capability emerging from relations between human and algorithmic actors, characterized by connectivity, codependence, and emergence and contributing to organizational analysis, learning, and action.
Scope: publisher-deposited abstract metadata observed 2026-08-20
The article theorizes AI as an organizing capability emerging from human–algorithm relations and contributing to organizational analysis, learning, and action.
Scope: abstract-level
The publisher issue roster identifies an original article whose title frames AI as an organizing capability emerging from human-algorithm relations.
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 (21)
- Artificial Intelligence and Management: The Automation-Augmentation Paradox
- To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis
- Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning
- The Role of Artificial Intelligence and Data Network Effects for Creating User Value
- Algorithms at Work: The New Contested Terrain of Control
- Expanding the Locus of Resistance: Understanding the Co-constitution of Control and Resistance in the Gig Economy
- Combining Human and Artificial Intelligence: Hybrid Problem-Solving in Organizations
- Artificial Intelligence, Trust, and Perceptions of Agency
- Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality
- Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
- Algorithmic Routines and Dynamic Inertia: How Organizations Avoid Adapting to Changes in the Environment
- Managing with Artificial Intelligence: An Integrative Framework
- Are the Futures Computable? Knightian Uncertainty and Artificial Intelligence
- When Knowledge Work and Analytical Technologies Collide: The Practices and Consequences of Black Boxing Algorithmic Technologies
- “Collaborating” with AI: Taking a System View to Explore the Future of Work
- Working for an Algorithm: Power Asymmetries and Agency in Online Work Settings
- Organizations as Artificial Intelligences: The Use of Artificial Intelligence Analogies in Organization Theory
- Human-AI Ensembles: When Can They Work?
- In the Land of the Blind, the One-Eyed Man Is King: Knowledge Brokerage in the Age of Learning Algorithms
- Exploration and Exploitation in Organizational Learning
- Competitive Advantage Through Artificial Intelligence: Toward a Theory of Situated AI
Cited by (2)
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Crossref public API abstract-level evidence only; full text was not inspected.
- Publisher HTML was not inspected after a representative Wiley DOI page returned HTTP 403.
- Crossref metadata only; full text was not inspected.
- The publisher surface was not queried after the lane’s quarantined dynamic-challenge response; no independent publisher-page verification was attempted.
- 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_ai_issue_bibliographic.json (SHA256 09f2707e67de2b15634dbce1ffaf62481bbe901ddaf6efdc4981f1abf86ba8c7).
Source independence
corroborated:crossref-api-metadata