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Jonathan H. Westover

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business management

All Episodes

16:48

Microshifting: The Next Evolution in Work Design...

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2025/10/26

Abstract: The traditional 9-to-5 workday is experiencing fundamental disruption as workers adopt microshifting—the practice of fragmenting work into flexible, non-contiguous blocks aligned with peak productivity, caregiving demands, and personal wellbeing. Recent data reveal that 65% of office workers seek greater schedule flexibility, while employees demonstrate willingness to sacrifice up to 9% of annual compensation for temporal autonomy (Owl Labs, 2025). This article examines the organizational

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16:28

From Search to Match: How AI Agents Are Reshaping...

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2025/10/25

Abstract: Artificial intelligence agents are fundamentally transforming how platforms operate, shifting economic dynamics from search-based to matching-based systems. This transition introduces new forms of market congestion where AI agents acting on behalf of users create coordination challenges that differ markedly from traditional search costs. Drawing on recent empirical evidence and matching theory, this article examines how AI-powered agents concentrate demand, reshape competitive dynamics,

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10:18

AI-Driven Role Conflict: Navigating Capability...

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2025/10/24

Abstract: The rapid diffusion of generative artificial intelligence tools is fundamentally reshaping professional boundaries within organizations. As accessible AI systems enable individuals to perform tasks previously requiring specialized training—coding, design, content creation, data analysis—organizations face a novel form of role conflict driven not by resource scarcity but by capability abundance. This article examines AI-driven role conflict as an emergent organizational phenomenon

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15:12

Unlocking Human Potential: Motivation Theory in...

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2025/10/22

Abstract: Motivation remains one of the most critical yet complex drivers of organizational performance and individual wellbeing. This article synthesizes contemporary motivation theory—including self-determination theory, social cognitive theory, goal-orientation frameworks, and attribution theory—to provide evidence-based guidance for practitioners navigating workforce engagement challenges. Drawing on recent empirical research and organizational case examples across healthcare, technology, and

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11:48

Theory-Driven Innovation in Organizations: From...

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2025/10/21

Abstract: Organizations face astronomical numbers of potential innovation pathways, yet most successfully navigate toward useful combinations of ideas, technologies, and processes. This article examines how theory-driven experimentation generates combinatorial salience within organizational contexts, enabling practitioners to identify promising innovations among indefinite possibilities. Drawing on recent advances in combinatorial innovation theory and cognitive science, we argue that organizational

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10:13

AI-Augmented Decision Rights: Redesigning Authority...

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2025/10/21

Abstract: Organizations increasingly deploy artificial intelligence systems as active participants in decision-making processes, fundamentally altering traditional authority structures and accountability frameworks. This transformation requires systematic redesign of decision rights—the formal and informal protocols governing who decides what, when, and with what level of AI involvement. Drawing on organizational design theory and human-computer interaction research, this article examines how

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13:26

Algorithmic Management: Leadership in Organizations...

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2025/10/20

Abstract: Algorithmic management—the use of automated systems to direct, evaluate, and discipline workers—has expanded from platform-based gig work to traditional employment across multiple sectors. This shift fundamentally alters workplace relationships, introducing automated decision-making processes that can affect trust, autonomy, and wellbeing while offering potential gains in efficiency and consistency. Evidence suggests that algorithmic supervision correlates with complex outcomes including

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15:06

The Hidden Cost of Poor Job Quality: Why Workers Are...

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2025/10/19

Abstract: The American Job Quality Study reveals a critical workforce gap: 60% of U.S. workers lack quality jobs across five dimensions—financial well-being, workplace safety and respect, growth opportunities, voice in decisions, and schedule control. This nationally representative survey of over 18,000 workers demonstrates that poor job quality correlates with diminished employee satisfaction, reduced retention, and weaker business performance. Organizations face mounting pressure to address

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22:26

Claude Skills and the Organizational Redesign of...

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2025/10/18

Abstract: Claude Skills, introduced by Anthropic in October 2025, represent a paradigm shift in organizational AI adoption through radical simplification. Unlike previous approaches requiring complex protocols and substantial technical infrastructure, Skills employ a deceptively simple architecture: Markdown files containing task instructions, optional supporting scripts, and minimal metadata. This simplicity enables organizations to rapidly develop and deploy specialized AI capabilities across

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25:16

Bridging the AI Implementation Gap in HR: From Hype...

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2025/10/18

Abstract: Despite surging interest in artificial intelligence within human resources, most organizations remain in the early stages of their AI journey, with two-thirds having less than one year of implementation experience. This article synthesizes research and practitioner insights from David Green's comprehensive September 2025 HR analytics review to examine why many HR departments struggle to realize value from their AI investments. The analysis explores the implementation gap between AI

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25:16

Bridging the AI Implementation Gap in HR: From Hype...

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2025/10/18

Abstract: Despite surging interest in artificial intelligence within human resources, most organizations remain in the early stages of their AI journey, with two-thirds having less than one year of implementation experience. This article synthesizes research and practitioner insights from David Green's comprehensive September 2025 HR analytics review to examine why many HR departments struggle to realize value from their AI investments. The analysis explores the implementation gap between AI

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39:10

When AI Investments Fail: Why Work Redesign, Not...

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2025/10/17

Abstract: Despite widespread adoption of artificial intelligence tools at the individual level, organizational returns remain disappointing. Recent industry research indicates that only a small fraction of companies achieve significant value from AI investments, with satisfaction rates similarly low. This gap between individual experimentation and enterprise-scale value realization stems not from technological limitations but from a fundamental mismatch: organizations layer AI onto legacy processes

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39:10

Organizational Structure for AI-First Operations:...

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2025/10/16

Abstract: Organizations deploying artificial intelligence at scale face a fundamental structural challenge: traditional hierarchies built for human decision-making prove inadequate when algorithms assume core operational roles. This article examines how AI-first operations—where AI systems execute primary workflows rather than merely supporting human tasks—necessitate new organizational forms that blend human oversight with algorithmic autonomy. Drawing on research across technology, financial

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25:16

Bridging the AI Implementation Gap in HR: From Hype...

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2025/10/15

Abstract: Despite surging interest in artificial intelligence within human resources, most organizations remain in the early stages of their AI journey, with two-thirds having less than one year of implementation experience. This article synthesizes research and practitioner insights from David Green's comprehensive September 2025 HR analytics review to examine why many HR departments struggle to realize value from their AI investments. The analysis explores the implementation gap between AI

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31:18

Beyond the Job-Hopping Myth: Why Gen Z Turnover...

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2025/10/15

Abstract: Gen Z's shorter job tenures have often been mischaracterized as disloyalty or entitlement. Emerging evidence suggests that these patterns reflect unmet expectations around meaningful work, career development, and organizational support rather than generational fickleness. With entry-level opportunities contracting sharply and artificial intelligence reshaping skill requirements, Gen Z workers navigate unprecedented uncertainty while demonstrating high technological fluency and adaptive

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44:03

AI-Driven Workforce Planning: Predictive Models for...

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2025/10/14

Abstract: Organizations increasingly deploy artificial intelligence to anticipate workforce requirements, moving beyond reactive headcount management toward predictive talent architecture. This article examines how AI-driven workforce planning systems combine machine learning, organizational data, and external labor market signals to forecast skill gaps, succession risks, and capacity constraints. Drawing on recent empirical studies and practitioner cases across technology, healthcare, and

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44:58

Humane AI Transformation: Building Competitive...

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2025/10/14

Abstract: Artificial intelligence adoption in organizations has largely focused on technical implementation and cost reduction, often overlooking the foundational human and cultural elements that determine transformation success. This article examines humane AI transformation as a strategic imperative that integrates business goals, workforce capability development, cultural evolution, and leadership adaptation. Drawing on organizational change management research, human-centered design principles,

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43:28

Enterprise AI Upskilling at Scale: Strategic...

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2025/10/13

Abstract: Large-scale AI upskilling initiatives represent a critical organizational response to generative AI adoption across knowledge-intensive sectors. This article examines enterprise strategies for workforce AI capability development, analyzing Citigroup's 175,000-employee prompt engineering training program alongside parallel initiatives at JPMorgan, Bank of America, and Wells Fargo. Drawing on evidence from organizational learning, change management, and human-capital development research,

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40:17

When Reorganization Becomes the Problem: Breaking the...

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2025/10/13

Abstract: Organizational restructuring has become a reflexive managerial response to performance challenges, yet evidence suggests that frequent reorganizations rarely deliver intended outcomes and often inflict substantial hidden costs. Research indicates that fewer than one in four reorganizations succeed in improving performance, while more than half result in productivity declines during implementation. Beyond financial and operational metrics, chronic restructuring erodes the relational fabric

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25:35

Beyond Token Initiatives: Co-Creating Neurodiverse...

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2025/10/13

Abstract: This article examines the emerging field of neurodiversity-inclusive organizational design through a critical pragmatist and sociotechnical systems lens. The neuroinclusion movement, which recognizes cognitive differences as natural variations rather than deficits, has gained significant traction in organizational contexts over the past decade. Despite this progress, many organizational practices remain rooted in neuronormative assumptions that disadvantage neurodivergent individuals. This

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158 results

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