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As artificial intelligence tools become ubiquitous in higher education, management educators face the challenge of integrating these technologies while maintaining pedagogical rigor and teaching critical evaluation skills. This article examines an experiential exercise that uses AI as both a learning tool and object of study in teaching cross-cultu…
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Abstract: Organizations face mounting pressure to develop digital fluency across their entire workforce, not merely within technical departments. Research indicates companies with advanced digital and AI capabilities outperform competitors by two to six times in total shareholder returns, yet only 28 percent plan significant upskilling investments …
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Abstract: This paper presents Clio (Claude insights and observations), a privacy-preserving platform that uses AI assistants to analyze and surface aggregated usage patterns across millions of conversations without requiring human reviewers to read raw user data. The system addresses a critical gap in understanding how AI assistants are used in pra…
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Abstract: This research introduces Anthropic Interviewer, an AI-powered tool designed to conduct large-scale qualitative interviews at unprecedented scale while maintaining conversational depth. To validate this methodology, we deployed the system to interview 1,250 professionals—comprising 1,000 general workforce participants, 125 scientists, and …
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Abstract: Organizations continue to struggle with return-to-office mandates despite clear evidence that younger workers—particularly Generation Z—consistently prefer hybrid arrangements over fully remote or fully in-office models. This article examines the evidence on generational work preferences, the structural challenges facing distributed teams…
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Abstract: Organizations increasingly deploy agentic artificial intelligence systems—autonomous or semi-autonomous agents capable of perceiving environments, making decisions, and executing tasks with minimal human intervention. Unlike traditional automation or generative AI tools, agentic AI operates with goal-directed independence across workflows…
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Abstract: Employee benefits are undergoing a fundamental transformation from standardized, compliance-driven programs into personalized wellness ecosystems that address the full spectrum of worker needs. This article examines how organizations are reimagining benefits architecture to support physical health, mental wellbeing, financial security, an…
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Abstract: Leaders increasingly face complex, ambiguous decisions in volatile environments where traditional advisory networks may prove insufficient. This article examines an emerging practice: constructing virtual personal boards of directors using generative artificial intelligence to simulate diverse advisory perspectives. Drawing on leadership …
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Abstract: This analysis examines the growing divergence in value creation from artificial intelligence investments across global enterprises. Drawing on empirical research of over 1,250 organizations worldwide, the study reveals that only 5% of companies—termed "future-built"—achieve substantial bottom-line value from AI at scale, while 60% generat…
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Abstract: Organizations increasingly recognize that workforce costs represent strategic investments rather than mere operating expenses, yet many struggle to articulate human capital decisions in financial terms that resonate with executive leadership. This article examines six evidence-based approaches for quantifying the return on investment of s…
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Abstract: This article examines Nested Learning (NL), a novel framework that reconceptualizes neural networks as hierarchical systems of interconnected optimization problems operating at multiple temporal scales. Drawing from neuroscientific principles of memory consolidation and Google Research's recent theoretical work, we explore how NL addresse…
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Abstract: Organizations increasingly rely on teams to navigate complexity, drive innovation, and adapt to rapid change, yet practitioners often lack evidence-based guidance on which investments genuinely foster team learning. This article synthesizes findings from a comprehensive meta-analysis by Nellen, Gijselaers, and Grohnert (2020) examining 50…
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Abstract: Organizations are increasingly moving away from traditional job-based hiring and development models toward skills-based talent management approaches. This shift reflects changing workforce expectations, technological disruption, and the need for organizational agility in volatile business environments. This article examines the organizati…
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Abstract: Organizational crises—whether triggered by pandemics, natural disasters, technological failures, or economic shocks—present critical junctures that can either catalyze profound learning or entrench dysfunctional routines. This article synthesizes empirical research on how organizations learn from crisis events, drawing on systematic revie…
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Abstract: Public sector organizations face persistent pressure to innovate while navigating bureaucratic constraints that often inhibit creativity and experimentation. This article examines the interplay between public service motivation (PSM), organizational red tape, and job satisfaction in shaping innovation outcomes within government and nonpro…
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Abstract: Artificial intelligence is rapidly entering K–12 classrooms worldwide, yet most educators lack formal training in AI—and even fewer have received instruction in AI ethics. Emerging evidence suggests that approximately two-thirds of teachers have no formal AI preparation, while those who do receive training typically encounter tool-focused…
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Abstract: Organizations increasingly recognize that workforce capability development extends beyond technical skills acquisition to encompass broader human flourishing and agency. Drawing on the capability approach framework, this article examines how organizational adult learning initiatives can expand employees' real freedoms to achieve valued ou…
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Abstract: Three years after ChatGPT's launch, artificial intelligence has evolved from generating coherent text to functioning as a collaborative workplace partner capable of autonomous planning, coding, research, and analysis. This article examines the transformation of AI capabilities through the lens of Google's Gemini 3 and similar agentic syst…
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Abstract: James March distinguished between leadership as "plumbing"—the rational work of plans, structures, and controls—and leadership as "poetry"—the imaginative work of meaning-making, emotion, and beauty. Contrary to conventional leadership scholarship emphasizing measurable outcomes, March argued that leaders' poetic impact on human experienc…
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Abstract: Artificial intelligence is reshaping how organizations operate, yet many enterprises approach AI adoption primarily as a technical implementation challenge. This narrow focus overlooks the profound cultural, structural, and human capital transformations that determine whether AI investments deliver value or create organizational dysfuncti…
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Abstract: Artificial intelligence presents organizations with an unprecedented paradox: the engineers building AI systems possess limited insight into optimal applications within specific professional domains, while domain experts often lack the technical fluency to unlock AI's potential in their fields. This capability gap creates a strategic wind…
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Abstract: Despite $30–40 billion in enterprise GenAI investment, 95% of organizations achieve zero measurable return, trapped on the wrong side of what we term the "GenAI Divide." This review synthesizes findings from MIT's Project NANDA research examining 300+ AI implementations and interviews with 52 organizations to identify why pilots stall and…
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Abstract: The integration of artificial intelligence into educational settings presents a fundamental challenge: how to harness powerful generative technologies without undermining the very cognitive capabilities required to use them wisely. This paper examines the pedagogical implications of AI adoption across educational institutions, drawing on …
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Abstract: U.S. higher education faces mounting existential pressures—enrollment declines, cost escalation, political skepticism, and administrative managerialism that prioritizes short-term institutional survival over long-term scholarly mission. Despite widespread critique, business management faculty have largely failed to mount effective resista…
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Abstract: As artificial intelligence reshapes labor markets globally, organizational leaders face a fundamental strategic question: which capabilities truly predict performance in AI-augmented work environments? While public discourse fixates on job displacement projections—the World Economic Forum estimates 92 million job losses against 170 millio…
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Abstract: Quiet cracking represents a pervasive yet often invisible phenomenon undermining organizational performance across global workplaces. Recent survey data from 4,000 knowledge workers reveals that 42% report declining motivation, 41% feel managerial underappreciation, and 40% experience emotional withdrawal. This disengagement is fueled by …
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Abstract: Recent field-experimental evidence reveals that workers systematically reduce their reliance on artificial intelligence recommendations when that usage is visible to evaluators, even at measurable performance costs. This phenomenon—termed "AI shaming"—reflects emerging workplace norms in which heavy AI adoption signals lack of confidence,…
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Abstract: Early career researchers (ECRs) navigate increasingly precarious academic landscapes where professional legitimacy demands extraordinary personal sacrifice. This article examines the toxic culture of overwork that pervades contemporary academia, using autoethnographic reflection and empirical evidence to illuminate how institutional press…
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Abstract: Organizations adopting artificial intelligence face a fundamental structural challenge: traditional hierarchies and coordination mechanisms often stifle the experimentation and rapid iteration AI implementation requires. Emerging evidence suggests that small, cross-functional teams with high autonomy—typically comprising senior engineers,…
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Abstract: Organizations across sectors are confronting a dual crisis: unfilled positions despite millions of qualified individuals being systematically excluded from opportunities based on credential requirements that fail to predict job performance. This article examines how skills-based hiring practices dismantle structural barriers in talent acq…
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Abstract: Return-to-office (RTO) mandates have emerged as a dominant organizational response to perceived productivity and culture challenges in post-pandemic work environments. However, mounting evidence suggests that mandatory in-office attendance policies generate substantial hidden costs that undermine the very outcomes leaders seek to achieve.…
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Abstract: This article synthesizes meta-analytic evidence on psychologically informed coaching approaches to identify mechanisms driving sustained workplace outcomes. Drawing on Wang et al.'s (2021) comprehensive meta-analysis of 20 studies (n = 957), we examine how cognitive behavioral coaching, solution-focused coaching, positive psychology coach…
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Abstract: Traditional credentials—degrees, certifications, and job titles—are losing their predictive validity as sole indicators of workplace capability. Skills marketplaces are emerging as intermediary platforms that enable granular, competency-based matching between talent and opportunity, prioritizing demonstrated ability over institutional gat…
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Abstract: Higher education institutions face mounting pressures from enrollment declines, budgetary constraints, and operational complexity while simultaneously confronting the disruptive potential of artificial intelligence. This article examines how colleges and universities can strategically adopt AI technologies to enhance administrative effici…
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Abstract: Digital distraction represents a persistent challenge to organizational productivity and employee wellbeing in contemporary workplaces. This article synthesizes research on attention fragmentation, task-switching costs, and cognitive load to examine how digital tools—while enabling connectivity and collaboration—simultaneously undermine s…
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Abstract: Management practice often relies on isolated interventions—cost reduction, performance systems, workplace policies—that show surprisingly weak main effects when studied empirically. This article examines why conventional management levers frequently deliver disappointing results absent contextual enablers and strategic coherence. Drawing …
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Abstract: The evolving knowledge economy has fundamentally transformed how organizations approach workplace learning and development. This article examines the dynamic interplay between formal and informal learning dimensions within contemporary work environments, drawing on established human resource development (HRD) scholarship. While formal lea…
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Abstract: Generative artificial intelligence is fundamentally reshaping the collaborative foundations of knowledge work. This article synthesizes findings from a large-scale field experiment involving 776 professionals at Procter & Gamble to examine how GenAI transforms three core pillars of teamwork: performance outcomes, expertise integration, an…
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Artificial intelligence agents are emerging as potential collaborators—or substitutes—for human workers across diverse occupations, yet their behavioral patterns, strengths, and limitations remain poorly understood at the workflow level. This article synthesizes findings from a landmark comparative study of human and AI agent work activities across…
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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 practitione…
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Abstract: The recent introduction of GDPval—a benchmark evaluating AI model performance on economically valuable real-world tasks—signals a fundamental shift in how organizations must approach work design, workforce planning, and operational strategy. This research examines the organizational implications of frontier AI models approaching human exp…
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Abstract: Large language models have fundamentally altered the economics of written job applications by reducing production costs to near-zero. This article examines the market-level consequences through evidence from Freelancer.com, a major digital labor platform. Analysis reveals how AI-generated applications degraded a critical quality signal th…
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Abstract: Organizational change initiatives fail at alarming rates, often due to inadequate attention to human and capability dimensions. This article synthesizes evidence from 32 empirical studies examining employee experiences during organizational transitions. Change creates significant uncertainty that affects both organizational performance an…
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Abstract: Organizations increasingly deploy artificial intelligence as distributed solutions across business units, functions, and geographies rather than centralized systems. This distributed approach promises localized responsiveness and innovation velocity but introduces coordination challenges including technical fragmentation, governance incon…
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Abstract: Workplace friendships represent a critical yet underexplored dimension of team effectiveness and organizational performance. Drawing from human resource development scholarship, this article examines how interpersonal bonds among colleagues influence both organizational outcomes and individual wellbeing. Research demonstrates that workpla…
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Abstract: Distributed work arrangements have evolved from niche practices into mainstream organizational imperatives, accelerated by technological advancement and global disruptions. This article synthesizes research at the intersection of distributed work and work design to offer human resource development (HRD) professionals and managers an integ…
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Abstract: Organizations, policymakers, and practitioners routinely discuss "AI" as a monolithic technology, collapsing fundamentally distinct paradigms—predictive AI and generative AI—into a single category. This conflation obscures critical differences in how these systems operate, the risks they pose, the governance they require, and the capabili…
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Abstract: Traditional motivation theories position desire as the precursor to action, but contemporary neuroscience reveals a more nuanced mechanism: effort itself generates the neurochemical signals that sustain motivated behavior. Dopaminergic pathways respond not primarily to reward consumption but to goal pursuit, effort expenditure, and progre…
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Abstract: The proliferation of automation technologies—including artificial intelligence, robotics, and algorithmic management systems—has fundamentally altered the psychological and structural foundations of employment relationships. This article examines how automation reshapes traditional notions of job security and explores evidence-based organ…
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Abstract: Organizations have moved beyond questioning whether artificial intelligence delivers value. The critical challenge has shifted to organizational integration: restructuring work, redefining roles, and redesigning processes to capture demonstrated AI value while managing risks inherent in sociotechnical transformation. This article examines…
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