Skip to content

Author

Jonathan H. Westover

We have 37 of 173 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Oct 2026

Designing for Predictability: How Mental Models of AI Error Boundaries Shape Human-AI Team Performance in High-Stakes Decision Making

As artificial intelligence systems are increasingly deployed to advise human decision-makers in high-stakes domains—including healthcare, criminal justice, and financial services—organizations face a critical but often overlooked challenge: the accuracy of an AI system alone does not determine the performance of the hu...

Jonathan H. Westover · 0 citations
Oct 2026

The Creative Advantage: How Organizations Can Future-Proof Their Workforce by Investing in Creativity

This article examines the relationship between occupational creativity and resilience to automation, drawing on a landmark study by Bakhshi, Frey, and Osborne (2015) which found that 86–87 percent of workers in highly creative occupations face low or no risk of computerization. The article situates these findings withi...

Jonathan H. Westover · 0 citations
Oct 2026

Leading Algorithmic Authority: Why Ethical AI Governance Depends on Legitimacy Infrastructure, Not Compliance Checklists

Ethical AI governance has become a strategic imperative as algorithmic systems increasingly mediate consequential organizational decisions affecting credit access, service delivery, and social participation. Existing frameworks emphasize principles and technical assurance but assume stable infrastructure, coherent inst...

Jonathan H. Westover · 0 citations
Sep 2026

The Ratio of Labor to Tech: Navigating Structural Workforce Contraction and AI Adoption in an Era of Dual Disruption

Organizations face a dual transformation: accelerating labor force contraction through 2032 and the evolving capabilities of artificial intelligence. This article examines the strategic imperative for organizations to deliberately adjust the "ratio of labor to tech" while confronting the simultaneous realities of demog...

Jonathan H. Westover · 0 citations
Review Open access Oct 2026

Adaptive Capacity in the Age of Artificial Intelligence: A Critical Extension of Workforce Resilience Frameworks to Human Resource Management Functions

This article critically reviews and extends the emerging adaptive capacity framework introduced by Manning and Aguirre (2026), which measures occupation-level worker characteristics relevant for navigating job transitions following AI-induced displacement, and develops a multi-level adaptive capacity model integrating...

Jonathan H. Westover · 0 citations
Sep 2026

When Labor Scarcity Meets AI Disruption: Rethinking Talent Strategy in the 2030s

The U.S. labor force participation rate has declined to its lowest level in five decades, while artificial intelligence companies simultaneously moderate their job displacement forecasts. This convergence creates a strategic inflection point for organizational talent management. Rather than preparing for AI-induced mas...

Jonathan H. Westover · 0 citations
Open access Oct 2026

When Experts Get the Future Wrong: Strategic Planning in an Era of Systematically Underestimated AI Progress

Recent evidence from the Forecasting Research Institute reveals a striking pattern: domain experts and superforecasters have systematically underestimated the pace of artificial intelligence progress across capability benchmarks, economic adoption indicators, and diffusion metrics. This article examines the organizatio...

Jonathan H. Westover · 0 citations
Review Open access Oct 2026

Navigating the AI Revolution: A Critical Framework for Organizational Transformation

This research article examines the imminent transformation of business and labor structures driven by artificial intelligence, critically analyzing adoption timelines and organizational impacts. Drawing on both primary survey data from 127 organizations and secondary research from institutional reports, the study quant...

Jonathan H. Westover · 0 citations
Sep 2026

Bridging the Research-Practice Divide: Insights from HRD Scholars and Scholar-Practitioners

The research-practice gap in Human Resource Development (HRD) represents a persistent structural challenge that limits the translation of academic knowledge into organizational action. This article synthesizes insights from 29 HRD scholars and scholar-practitioners across five countries to examine how they conceptualiz...

Jonathan H. Westover · 0 citations
Open access Oct 2026

Employee Experience Capital and Organizational Performance: An Integrated Framework for Understanding Workplace Resource Systems in Digitally Transformed Organizations

Contemporary organizations face the complex challenge of integrating diverse workplace resources—spanning digital tools, inclusive practices, sustainability initiatives, and well-being programs—into coherent systems that simultaneously support employee flourishing and organizational effectiveness. This theoretical pape...

Jonathan H. Westover · 0 citations
Review Open access Oct 2026

Building an AI-First HR Organization: Transforming People Operations for the Digital Age

This mixed-methods study examines how organizations develop AI-first HR functions by fundamentally reimagining people operations rather than merely adopting new technologies. Drawing on survey data from 152 HR leaders, 24 in-depth interviews, and longitudinal case studies of 8 organizations during 2022-2024, the resear...

Jonathan H. Westover · 0 citations
Oct 2026

Mitigating Algorithmic Bias in AI-Powered Recruitment: A Practitioner's Guide to Ethical Implementation

The proliferation of artificial intelligence in talent acquisition has introduced both unprecedented efficiency gains and significant ethical challenges. This article examines the mechanisms through which algorithmic bias emerges in automated hiring systems and evaluates evidence-based governance frameworks for promoti...

Jonathan H. Westover · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.