Episodes

Tuesday Dec 30, 2025
Tuesday Dec 30, 2025
Abstract: Business schools face unprecedented disruption as generative artificial intelligence fundamentally challenges the value proposition that has sustained undergraduate and graduate business education for decades. This article examines how AI technologies are simultaneously eroding traditional sources of educational value—knowledge transfer, credential signaling, and relationship building—while creating new imperatives for business education at all levels. Drawing on strategic management theory, organizational learning research, and emerging empirical evidence on AI's impact on business tasks, we analyze the structural barriers preventing business schools from adapting their programs and propose evidence-based pathways for reinvention. The analysis reveals that incremental curricular adjustments are insufficient; business schools must fundamentally reimagine their value architecture around capabilities AI cannot replicate: causal reasoning, contextual judgment, ethical navigation, and relationship building in high-stakes environments. The article concludes that business schools' response to AI will determine whether they remain central to professional preparation or become peripheral to an increasingly AI-augmented business landscape.

Monday Dec 29, 2025
Monday Dec 29, 2025
Abstract: Organizations face unprecedented environmental turbulence requiring continuous adaptation to survive and thrive. This article examines the interconnected relationship between organizational learning capacity, employee wellbeing, and shared purpose as critical determinants of adaptive capability. Drawing on organizational theory, positive psychology, and strategic management literature, the analysis demonstrates that organizations integrating these three dimensions achieve superior performance outcomes, including 25–40% higher innovation rates and 20–30% lower turnover compared to competitors. Evidence-based interventions spanning psychological safety cultivation, continuous learning systems, wellbeing infrastructure, and purpose alignment are explored through concrete organizational examples across healthcare, technology, manufacturing, and professional services. The article concludes that adaptive capacity emerges not from isolated programs but through systemic integration of learning, wellbeing, and purpose into organizational DNA, positioning these elements as strategic imperatives rather than discretionary human resource initiatives.

Monday Dec 29, 2025
Monday Dec 29, 2025
Abstract: As artificial intelligence automates technical tasks once considered core competencies, organizations face a fundamental shift in how they develop talent and structure learning. This article examines the transformation of educational paradigms in response to AI advancement, synthesizing insights from higher education leadership and organizational development research. Three critical predictions emerge: the elevation of human skills to core competency status, the obsolescence of rote learning in favor of contextual application, and the necessary convergence of corporate and academic learning ecosystems. Drawing on evidence from organizational psychology, adult learning theory, and workforce development practice, this analysis demonstrates how forward-thinking organizations are redesigning learning architectures to cultivate irreplaceable human capabilities—critical thinking, adaptive decision-making, and interpersonal acumen—that complement rather than compete with AI systems. Organizations that strategically invest in blended, context-rich, and partnership-based development programs position themselves for sustainable competitive advantage in an increasingly automated marketplace.

Sunday Dec 28, 2025
Sunday Dec 28, 2025
Abstract: Despite increased awareness of neurodiversity in contemporary workplaces, organisational responses remain fragmented, compliance-driven, and disconnected from neurodivergent lived experiences. This article examines how human resource management can catalyse systemic transformation toward neuroinclusion through co-design approaches grounded in critical pragmatism and sociotechnical systems theory. Drawing on Özbilgin et al.'s (2025) process model, we identify four core organisational challenges—legal ambiguity, stakeholder ignorance and indifference, disclosure dilemmas, and resistance to change—that perpetuate neuronormativity. We propose evidence-based HR-led interventions centring neurodivergent voices in organisational redesign, including participatory awareness-building, inclusive policy co-creation, relational support mechanisms, and embedded feedback systems. These interventions yield anticipated outcomes of enhanced recognition, realised potential, improved engagement, and reduced barriers. This article contributes to HRM scholarship by repositioning human resources as facilitators of collaborative, justice-oriented, and iterative organisational change rather than administrators of procedural compliance. Implications for practice include the necessity of participatory research, cross-contextual implementation studies, intersectional analyses, and robust evaluation of co-designed HR systems that enable meaningful transformation toward neuroinclusive workplaces.

Saturday Dec 27, 2025
Saturday Dec 27, 2025
Abstract: Recent executive departures at Apple have been characterized in media discourse as a talent retention challenge. This analysis reframes the narrative: simultaneous exits across AI, design, legal, environmental strategy, and operations functions represent a deliberate cultural inflection point rather than isolated personnel decisions. Drawing on organizational development literature, this article examines why clustered leadership transitions signal strategic realignment, how internal fragmentation necessitates structural redesign, and what happens when foundational cultures become misaligned with future ambitions. Through evidence-based frameworks and cross-industry examples, we explore how organizations navigate transformation while maintaining operational stability, identifying specific practices that preserve institutional knowledge while enabling necessary evolution.

Friday Dec 26, 2025
Friday Dec 26, 2025
Abstract: Diversity, Equity, and Inclusion (DEI) has become one of the most polarizing issues in contemporary organizational practice. While advocates argue that DEI enhances both fairness and performance, critics contend that current approaches undermine meritocracy and create new forms of discrimination. This analysis examines how the practice of DEI—often reduced to demographic representation—has diverged from its underlying principles, creating unintended consequences that harm both organizations and individuals. Drawing on recent academic research and practitioner evidence, this article proposes an alternative framework centered on Potential, Synergy, and Inclusion. This approach preserves DEI's core objectives while addressing its fundamental weaknesses. Potential emphasizes assessing individuals' capacity to create future value rather than past achievements alone. Synergy focuses on building teams with complementary capabilities and perspectives that extend far beyond demographics. Inclusion enables employees to voice ideas, challenge norms, and overcome structural barriers. Rather than redistributing organizational value toward particular groups, this framework aims to grow the pie for all stakeholders through evidence-based practices that enhance long-term organizational performance.

Tuesday Dec 23, 2025
Tuesday Dec 23, 2025
Abstract: Career minimalism represents a fundamental shift in how professionals—particularly Generation Z and millennials—conceptualize work's role in their lives. Rather than pursuing traditional upward mobility at all costs, career minimalists prioritize stability, boundaries, and fulfillment through secure employment, clear work-life separation, and diversified skill development. This article examines the emergence of career minimalism as a response to chronic workplace burnout, economic volatility, and evolving generational values. Drawing on organizational psychology, human resource management, and labor economics literature, we analyze the individual and organizational consequences of this philosophy and identify evidence-based practices for supporting sustainable career approaches. We argue that career minimalism is not withdrawal from work but strategic energy allocation—a recalibration of the psychological contract between employees and employers that prioritizes long-term resilience over short-term advancement. Organizations that understand and accommodate this shift stand to benefit from improved retention, reduced burnout, and access to diverse talent seeking meaningful but bounded employment relationships.

Monday Dec 22, 2025
Monday Dec 22, 2025
Abstract: The emergence of large language models (LLMs) has transformed human-machine interaction, yet evaluation frameworks remain predominantly model-centric, focusing on standalone AI performance rather than emergent collaborative outcomes. This article introduces a novel Bayesian Item Response Theory framework that quantifies human–AI synergy by separately estimating individual ability, collaborative ability, and AI model capability while controlling for task difficulty. Analysis of benchmark data (n=667) reveals substantial synergy effects, with GPT-4o improving human performance by 29 percentage points and Llama-3.1-8B by 23 percentage points. Critically, collaborative ability proves distinct from individual problem-solving ability, with Theory of Mind—the capacity to infer and adapt to others' mental states—emerging as a key predictor of synergy. Both stable individual differences and moment-to-moment fluctuations in perspective-taking influence AI response quality, highlighting the dynamic nature of effective human-AI interaction. Organizations can leverage these insights to design training programs, selection criteria, and AI systems that prioritize emergent team performance over standalone capabilities, marking a fundamental shift toward optimizing collective intelligence in human-AI teams.

Monday Dec 22, 2025
Monday Dec 22, 2025
Artificial intelligence is reshaping white-collar work at an unprecedented pace, yet many human resources functions remain on the sidelines of this transformation. Drawing on insights from workforce transformation leaders and emerging organizational research, this article examines the urgent imperative for HR to design AI-integrated work systems before technology architectures determine human roles by default. The parallels to early 20th-century scientific management reveal risks of task fragmentation that prioritizes algorithmic efficiency over professional craft and worker agency. Evidence from large-scale skills transformation initiatives demonstrates that strategic HR leadership can enable talent redeployment at market speed while preserving meaningful work. With entry-level pathways narrowing and traditional career progression disrupted, HR professionals face a pivotal choice: architect human-centered AI work systems now, or inherit technology-determined structures later. This article synthesizes academic research and practitioner experience to outline evidence-based responses across transparent governance, skills infrastructure, and agency-preserving work design that position HR as strategic architects of the AI-augmented workplace.

Sunday Dec 21, 2025
Sunday Dec 21, 2025
Abstract: This article examines the organizational implications of prevalent "ways of thinking"—cognitive frameworks that shape how individuals and teams perceive problems, generate solutions, and execute strategies. Drawing on Crilly's (2025) comprehensive bibliometric analysis of 78 ways of thinking across research literatures, this article translates academic prevalence patterns into actionable insights for practitioners. Critical thinking, design thinking, creative thinking, systems thinking, and computational thinking emerge as the five most prevalent frameworks in contemporary scholarship. However, their uneven distribution across disciplines and applications, varying rates of adoption, and differential combinations suggest significant opportunities and risks for organizations. The analysis reveals that while critical thinking maintains broad, sustained relevance across sectors, computational thinking shows rapid concentration in specific domains, and design thinking demonstrates explosive recent growth. Organizations that strategically cultivate complementary thinking capabilities—rather than adopting isolated frameworks—demonstrate enhanced problem-solving capacity, innovation outcomes, and adaptive resilience. This article provides evidence-based guidance for selecting, developing, and integrating multiple ways of thinking to address complex organizational challenges, supported by cases spanning engineering, healthcare, education, and public services.







