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 title connects substitution of human decision making by machine learning to organizational learning.
Scope: title-level 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 (4)
Cited by (22)
- Algorithmic Recommendation Tools and Experiential Learning in Clinical Care
- Combining Human and Artificial Intelligence: Hybrid Problem-Solving in Organizations
- Bodily Data Control, Human Agency Threats, and Job Insecurity
- Human-AI Ensembles: When Can They Work?
- Interlacing Situated and Algorithmic Modes of Knowledge Work: A Workplace Jurisdiction Perspective
- Would Archimedes Shout “Eureka” with Algorithms? The Hidden Hand of Algorithmic Design in Idea Generation, the Creation of Ideation Bubbles, and How Experts Can Burst Them
- Artificial Intelligence as an Organizing Capability Arising from Human‐Algorithm Relations
- The Axiology of AI Agents: How Human-AI Interaction Transforms Values from Espoused to Enacted
- When and How Artificial Intelligence Augments Employee Creativity
- Syncing Minds and Machines: Hybrid Cognitive Alignment as an Emergent Coordination Mechanism in Human-AI Collaboration
- Fading Memories: The Role of Machine Learning in Organizational Knowledge Depreciation
- Taming Artificial Intelligence: A Theory of Control-Accountability Alignment among AI Developers and Users
- The Acceleration of Artificial Intelligence: Rethinking Organization and Work in an Era of Rapid Technological Change
- Rethinking How We Theorize AI in Organization and Management: A Problematizing Review of Rationality and Anthropomorphism
- The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise
- A Review of Artificial Intelligence, Algorithms, and Robots Through the Lens of Stakeholder Theory
- Competitive Advantage Through Artificial Intelligence: Toward a Theory of Situated AI
- “Collaborating” with AI: Taking a System View to Explore the Future of Work
- The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market
- Opportunity Search in the Era of GenAI: Navigating Uncertainty in an Expanding Universe of Imaginable but Unknowable Futures
- Algorithm Envelopment in Platform Markets
- Roles of Artificial Intelligence in Collaboration with Humans: Automation, Augmentation, and the Future of Work
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Crossref supplied no abstract; the claim is limited to title-level metadata and bibliographic fields.
- The Academy publisher surface returned an HTTP 403 Cloudflare access block on the lane’s first abstract-page attempt; no circumvention or further publisher-page requests were made.
Source independence
publisher-only