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.
In a pre-registered experiment with 776 P&G professionals, individuals with AI produced work whose performance matched that of human teams without AI, indicating that an AI complement can substitute for some coordination capacity on the studied product-development tasks.
Scope: P&G product-development professionals and bounded innovation tasks; not full-team or firm-performance equivalence.
AI access reduced performance gaps between commercial and technical specialists and was associated with more positive self-reported emotional responses, supporting a boundary-crossing mechanism while not eliminating the need to test team and task fit.
Scope: Studied cross-functional innovation tasks and participants; affect outcome is self-reported.
The Crossref-deposited abstract reports that generative AI improved performance and cross-functional balance in a field experiment on product-innovation work, while human judgment retained value in evaluating ideas.
Scope: abstract-level evidence from professionals and new-product-development teams
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (18)
- 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
- Algorithms at Work: The New Contested Terrain of Control
- Artificial Intelligence and Management: The Automation-Augmentation Paradox
- “Collaborating” with AI: Taking a System View to Explore the Future of Work
- The Rapid Adoption of Generative AI
- Human-AI Ensembles: When Can They Work?
- Cyborgs, Centaurs and Self-Automators: The Three Modes of Human-GenAI Knowledge Work and Their Implications for Skilling and the Future of Expertise
- Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
- The Crowdless Future? Generative AI and Creative Problem-Solving
- Imitation of Complex Strategies
- Adaptation on Rugged Landscapes
- The Uneven Impact of Generative AI on Entrepreneurial Performance
- Combining Human and Artificial Intelligence: Hybrid Problem-Solving in Organizations
- Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning
- Human Trust in Artificial Intelligence: Review of Empirical Research
- Exploration and Exploitation in Organizational Learning
- To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis
- Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology
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
- AI/model capability is time-specific
- Crossref abstract-level metadata only; the publisher surface returned HTTP 403; full text was not inspected
- Crossref supplied only year and month for the issue publication date
- Single consumer-goods company and selected innovation tasks
- Some affect and collaboration measures are self-reported
- Working-paper status
Source independence
Academic field experiment conducted with P&G professionals; one focal firm supplies the setting but treatment was pre-registered.