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 reviews intelligent machines through stakeholder theory and presents a framework connecting machine characteristics, affordances, stakeholder dispositions, and conditional value creation.
Scope: abstract-level multidisciplinary review
The review develops a stakeholder-theory framework explaining how intelligent-machine characteristics and stakeholder dispositions condition organizational value creation.
Scope: abstract-level
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)
- Losing Touch: An Embodiment Perspective on Coordination in Robotic Surgery
- Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
- A colleague named Max: A critical inquiry into affects when an anthropomorphised AI (ro)bot enters the workplace
- In the Land of the Blind, the One-Eyed Man Is King: Knowledge Brokerage in the Age of Learning Algorithms
- Human Trust in Artificial Intelligence: Review of Empirical Research
- Organizations as Artificial Intelligences: The Use of Artificial Intelligence Analogies in Organization Theory
- The Making of the “Good Bad” Job: How Algorithmic Management Manufactures Consent Through Constant and Confined Choices
- Accommodating Machine Learning Algorithms in Professional Service Firms
- The Role of Artificial Intelligence and Data Network Effects for Creating User Value
- Robots at work: People prefer—and forgive—service robots with perceived feelings.
- The Invisible Cage: Workers’ Reactivity to Opaque Algorithmic Evaluations
- Algorithms at Work: The New Contested Terrain of Control
- Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning
- “Collaborating” with AI: Taking a System View to Explore the Future of Work
- 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
- How Professionals Adapt to Artificial Intelligence: The Role of Intertwined Boundary Work
- No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence.
- Working for an Algorithm: Power Asymmetries and Agency in Online Work Settings
- Algorithms and their Affordances: How Crowdworkers Manage Algorithmic Scores in Online Labour Markets
- When and How Artificial Intelligence Augments Employee Creativity
- The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.
- When Conscientious Employees Meet Intelligent Machines: An Integrative Approach Inspired by Complementarity Theory and Role Theory
Cited by (1)
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
- The first exact-work request yielded no bytes and the single permitted retry succeeded
- SAGE public DOI-page probes returned HTTP 403 during the lane, so claims rely on retained Crossref publisher-deposited metadata
- 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.
Source independence
publisher-only