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 conditions under which aggregating human and AI judgments can improve managerial decision-making even when neither decision maker has a clear predictive-accuracy advantage.
Scope: abstract-level conceptual management study
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (7)
- Design Rules
- Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning
- Organizations as Artificial Intelligences: The Use of Artificial Intelligence Analogies in Organization Theory
- Exploration and Exploitation in Organizational Learning
- Artificial Intelligence and Management: The Automation-Augmentation Paradox
- Organizational Learning
- Human Trust in Artificial Intelligence: Review of Empirical Research
Cited by (12)
- Skill Deprioritization: Reorganizing in the Age of Generative Artificial Intelligence
- Using Augmentation-Based AI Tool at Work: A Daily Investigation of Learning-Based Benefit and Challenge
- Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control
- The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise
- When AI Becomes My Teammate: Unpacking How Employees Perceive and Collaborate With Gendered AI Teammates
- The Dark Side of Managing Human–AI Collaborations: Implications for Leaders’ Moral Relativism and Unethical Behaviour
- Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality
- Managing with Artificial Intelligence: An Integrative Framework
- Bodily Data Control, Human Agency Threats, and Job Insecurity
- The Crowdless Future? Generative AI and Creative Problem-Solving
- Artificial Intelligence as an Organizing Capability Arising from Human‐Algorithm Relations
- Syncing Minds and Machines: Hybrid Cognitive Alignment as an Emergent Coordination Mechanism in Human-AI Collaboration
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Abstract-level evidence only; no full text inspected
- Bound from an already-retained journal-query response containing multiple works; no post-audit refetch
Source independence
publisher-only