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 differentiates predictive, generative, agentic, and embodied AI systems and argues that they reshape organizational expertise, judgement, coordination, authority, and institutional adaptation in distinct ways.
Scope: publisher-deposited abstract metadata observed 2026-08-20
The article differentiates predictive, generative, agentic, and embodied AI and maps their distinct implications for expertise, judgment, coordination, authority, and institutional adaptation.
Scope: abstract-level
The publisher issue roster classifies this as an original article whose title frames rapid AI change in relation to organization and work.
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 (42)
- When Do Individuals Believe in Themselves Rather Than in Artificial Intelligence? Insights from Longitudinal Investigations in Corporate Credit‐Rating Contexts
- Beyond Anthropomorphism: Social Presence in Human–AI Collaboration Processes
- Opportunity Search in the Era of GenAI: Navigating Uncertainty in an Expanding Universe of Imaginable but Unknowable Futures
- “Collaborating” with AI: Taking a System View to Explore the Future of Work
- It's Amazing – But Terrifying!: Unveiling the Combined Effect of Emotional and Cognitive Trust on Organizational Member' Behaviours, AI Performance, and Adoption
- Algorithmic Surveillance in the Gig Economy: The Organization of Work through Lefebvrian Conceived Space
- To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis
- Working for an Algorithm: Power Asymmetries and Agency in Online Work Settings
- Rethinking How We Theorize AI in Organization and Management: A Problematizing Review of Rationality and Anthropomorphism
- A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice
- Human Trust in Artificial Intelligence: Review of Empirical Research
- Algorithms at Work: The New Contested Terrain of Control
- Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
- Dynamic capabilities and strategic management
- When AI Becomes an Agent of the Firm: Examining the Evolution of AI in Organizations Through an Agency Theory Lens
- The Dark Side of Managing Human–AI Collaborations: Implications for Leaders’ Moral Relativism and Unethical Behaviour
- When and How Artificial Intelligence Augments Employee Creativity
- Artificial Intelligence as an Organizing Capability Arising from Human‐Algorithm Relations
- ‘Let Me Explain’: A Comparative Field Study on How Experts Enact Authority Over Clients When Facing AI Decisions
- Industry Exposure to Artificial Intelligence, Board Network Heterogeneity, and Firm Idiosyncratic Risk
- Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning
- When Knowledge Work and Analytical Technologies Collide: The Practices and Consequences of Black Boxing Algorithmic Technologies
- How Professionals Adapt to Artificial Intelligence: The Role of Intertwined Boundary Work
- Managing by Data: Algorithmic Categories and Organizing
- The Role of Artificial Intelligence and Data Network Effects for Creating User Value
- The Crowdless Future? Generative AI and Creative Problem-Solving
- Managing with Artificial Intelligence: An Integrative Framework
- Are the Futures Computable? Knightian Uncertainty and Artificial Intelligence
- Demystifying AI for the Workforce: The Role of Explainable AI in Worker Acceptance and Management Relations
- Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality
- Bright and Dark Imagining: How Creators Navigate Moral Consequences of Developing Ideas for Artificial Intelligence
- In the Land of the Blind, the One-Eyed Man Is King: Knowledge Brokerage in the Age of Learning Algorithms
- Examining the Effect of a Firm’s AI Specialization on the Technology Firms it Acquires: A Real Options Perspective
- The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market
- Combining Human and Artificial Intelligence: Hybrid Problem-Solving in Organizations
- Artificial Intelligence, Trust, and Perceptions of Agency
- Algorithmic Routines and Dynamic Inertia: How Organizations Avoid Adapting to Changes in the Environment
- Competitive Advantage Through Artificial Intelligence: Toward a Theory of Situated AI
- Motivation through the design of work: test of a theory
- Curse or Blessing: Investigating the Influence of Firms’ Artificial Intelligence Adoption on Employee Job Satisfaction
- Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
- Artificial Intelligence and Management: The Automation-Augmentation Paradox
Cited by (0)
No in-corpus incoming citation is available in the current enrichment coverage.
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.
Source independence
corroborated:crossref-api-metadata