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Jonathan H. Westover

Exact-ORCID corpus identity

4Distinct papers
0Unique collaborators
4/4OpenAlex citation coverage

Publication dates unavailable. Corpus fetch span: 2026.

Explore collaboration neighborhood Browse this author's papers

Identity provenance

Provider IDs

  • Openalex: A5077482961

ORCID evidence

Observed aliases (2)
  • Jonathan H. Westover (openalex, provider refresh)
  • Jonathan Westover (openalex, provider refresh)

Topics and outcomes in this view

Assessment themes

  • Org Design: 4 papers
  • Governance: 3 papers
  • Human Ai Collab: 3 papers
  • Adoption: 2 papers
  • Labor Markets: 2 papers
  • Productivity: 2 papers
  • Skills Training: 2 papers
  • Inequality: 1 paper

Claim outcomes

Papers in the OpenAlex view

Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.

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Jonathan H. Westover's distinct papers under the selected provider observation surface.
PaperAuthor evidenceDateProvider citations
Management theory, not only software metaphors, is needed to govern multi-agent AI: concepts like decision rights and spans of control explain coordination breakdowns that orchestration patterns miss. Embedding organizational design principles into agentic systems could turn experimental agentic workflows into dependable organizational capabilities—though the recommendations are currently conceptual and require empirical validation.semantic_scholar Jonathan H. Westover
orcid		 Fetched 2026-07-20 0
Experts see big AI capability gains but only modest near-term economic effects, while a notable minority (14%) warn of rapid-progress scenarios with strong GDP growth coupled with falling labor-force participation and widening inequality. Firms that invest in systematic retraining, transparent transition planning and adaptive organizational design can better protect workers and maintain operations amid accelerated AI-driven change.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-06-28 0
Firms that redesign how people and AI work together report markedly better returns: those intentionally architecting human–AI interactions are twice as likely to exceed AI investment targets and 2.5 times more likely to report superior financial performance. The result is drawn from a large Deloitte executive survey and illustrates associations, not proven causal effects.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-06-22 0
Emerging evidence suggests large language models reshape jobs unevenly: some occupations face substantial task-level exposure while real-world displacement remains limited and concentrated; firms that invest in transparent planning, reskilling and role redesign can both mitigate harm and capture productivity gains.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-04-29 0

Citation observation summary

OpenAlex supplied counts for 4 of 4 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.