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This conversation explores the paradoxical relationship between artificial intelligence and modern education, noting that immediate efficiency gains often mask long-term cognitive skill atrophy. While AI tools offer personalized learning and reduced administrative burdens, they also threaten academic integrity and the development of critical thinking through excessive cognitive offloading. They highlight a growing equity gap, where students with existing advantages use technology to accelerate while others become dependent on it as a substitute for learning. To mitigate these risks, they advocate for assessment redesigns that prioritize the learning process and institutional frameworks that build resilience through transparent communication. Ultimately, they argue for a balanced pedagogical approach that leverages technological power without sacrificing the essential human struggle required for true intellectual mastery.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the rising trend of AI-washing, a practice where executives falsely attribute workforce reductions to artificial intelligence to mask traditional cost-cutting motives. Research indicates a significant misalignment between the massive surge in AI-related layoffs and the actual, limited deployment of functional automation technology. These premature staff cuts often lead to institutional knowledge loss, diminished employee trust, and a long-term decline in innovation capacity. The conversation argues that organizations should instead view technology as a complement to human expertise through transparent communication and robust upskilling initiatives. Ultimately, sustainable success depends on evidence-based integration rather than using speculative automation as a convenient rhetorical shield for restructuring.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation argues that the success of agentic AI systems depends more on organizational theory than on technical model improvements. As these systems expand to include multiple AI agents, they frequently suffer from coordination failures, information degradation, and excessive costs. To solve these issues, they suggest applying established human management principles, such as maintaining a limited span of control through hierarchical structures and using structured boundary objects for clearer communication. Calibrating how tightly these agents are linked and managing their information processing limits can prevent the "telephone game" effect that often ruins complex workflows. Ultimately, they posit that treating AI orchestration as an organizational design challenge is essential for building scalable, reliable, and economically viable automation. Transitioning from ad hoc prototypes to mature governance frameworks will allow enterprises to transform unpredictable agent swarms into high-performing digital teams.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores how artificial intelligence is simultaneously automating routine tasks and augmenting complex human capabilities within the same occupations. While many high-income professionals possess the financial resources and transferable skills to adapt to these shifts, a significant group of administrative and clerical workers faces high exposure with limited support. This bifurcation of vulnerability suggests that AI is not simply replacing jobs but is fundamentally reconfiguring work content and skill requirements. Organizations can manage this transition by implementing transparent communication, work redesign, and targeted training programs. Ultimately, this research argues for proactive policy and organizational strategies to build long-term resilience as AI reshapes the labor market.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation explores the generational friction occurring as Generation Z enters a workforce still governed by legacy organizational structures. Rather than viewing the perceived lack of commitment from younger staff as a personal defect, the analysis suggests these tensions stem from a structural misalignment between outdated corporate systems and the needs of modern knowledge work. To address issues like high turnover and leadership shortages, this research advocates for an evolution toward transparency, competency-based progression, and flexible work designs. Implementing these evidence-based interventions allows organizations to transition from control-oriented models to dynamic environments that prioritize skill development and meaningful contribution. Ultimately, this research argues that modernizing the psychological contract between employers and employees fosters long-term innovation and stability for all generations.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Abstract: Higher education institutions increasingly recognize that transformative learning occurs at the intersection of theory and practice, disciplinary knowledge and real-world application. Innovation Academies have emerged as institutional responses to this recognition, serving as interdisciplinary hubs that democratize access to experiential learning, entrepreneurship, research, and community engagement. This article examines the organizational architecture, programmatic elements, and strategic considerations essential to building effective Innovation Academies in universities. Drawing on organizational learning theory, stakeholder engagement research, and documented practices from diverse institutions, the analysis outlines how Innovation Academies create value through centralized coordination with distributed impact, inclusive access mechanisms, and integrated support systems. The article provides evidence-based guidance for university leaders designing or enhancing Innovation Academy models, emphasizing how these structures can simultaneously advance student success, faculty engagement, institutional reputation, and community impact while navigating resource constraints and competing institutional priorities.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This conversation details a comprehensive framework for modernizing higher education by deeply embedding workforce readiness into the core academic experience. Rather than treating career services as an isolated department, the proposed model integrates professional competencies and experiential learning directly into the curriculum. They argue that this alignment enhances student retention and economic mobility while maintaining the intellectual rigor of a traditional degree. Special emphasis is placed on equity-centered design, ensuring that low-income and underrepresented students gain access to the social capital and paid opportunities necessary for career success. Ultimately, they advocate for collaborative leadership and the use of labor market data to create sustainable, responsive institutions that benefit both graduates and regional economies.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This episode exposes how organizations mistake visible behaviors and performance metrics for root causes, remaining blind to the slow erosion of readiness—cognitive load, fatigue, psychological safety, technical debt, and social strain—that precedes failure.Drawing on resilience engineering, sociotechnical theory, and cross-industry examples, it argues for shifting from reactive, outcome-based monitoring to leading readiness indicators and practical interventions—pulse surveys, fatigue management, protected slack, Just Culture, and prospective risk reviews—to detect and stop degradation before incidents occur.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
A randomized field experiment with 316 employees across 42 teams shows that grounded GenAI—AI systems customized with firm knowledge—significantly increases employees' centrality in collaboration and knowledge-sharing networks while boosting productivity and satisfaction. Specialists become more sought-after knowledge hubs, whereas generalists gain larger productivity improvements, revealing heterogeneous, role-dependent effects.The study reframes AI adoption as organizational design: deploy grounded AI as collaboration infrastructure, provide role-specific training, manage network overload, and align performance systems to reward knowledge-sharing as well as output to sustain long-term value.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This systematic review of 64 studies shows that shift work—especially night shifts—occupational stress, and prolonged working hours reliably impair attention, memory, executive function, and processing speed via circadian disruption, sleep loss, and stress-related neurophysiology.Evidence for sedentary work is mixed. Practical recommendations include optimizing shift schedules, limiting consecutive nights and long hours, reducing job stress through redesign and resources, and embedding recovery practices to protect cognitive health during working years and beyond.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This episode examines the surge of AI-justified layoffs and argues that managerial short-termism—not technology alone—is driving premature workforce cuts that erode demand and organizational capacity.Drawing on history and economic theory, it proposes a pragmatic policy path: graduated reductions in the standard workweek, income protections, and employer incentives to preserve employment and translate AI gains into broadly shared prosperity.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This episode explores how compassion—recognizing, empathizing with, and responding to suffering—shapes employee wellbeing and organizational performance. It reviews evidence on the costs of compassion deficits (stress, burnout, disengagement) and the benefits of supportive cultures.Practical, evidence-based responses are presented: leadership development, psychological safety, team practices, flexible policies, and systems to prevent compassion fatigue. The episode concludes that integrating compassion into strategy and governance creates sustainable workplaces where people and performance thrive.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Human-centric skills—creativity, resilience, empathy, collaboration, and lifelong learning—have shifted from ‘soft’ extras to strategic necessities. Drawing on the World Economic Forum’s Future of Jobs Report 2025 and global data from employers, educators, and learning platforms, this episode maps demand and supply, highlights regional gaps, and shows how education and hiring systems often fail to recognize these capabilities.The paper documents the surprising fragility of these skills (pandemic-era declines in resilience and teaching), their limited visibility in job postings, and their low automation risk under generative AI—making them both scarce and increasingly valuable. It also summarizes industry and regional patterns and the long time horizons many learners need to develop higher‑order human skills.Finally, the episode proposes a nine‑principle roadmap for assessment, development, and credentialing—emphasizing authentic performance tasks, psychologically safe learning environments, and portable digital credentials—and presents case studies (AWS, PwC, Tecnológico de Monterrey, Udemy, Majid Al Futtaim) that illustrate scalable, equitable approaches to make the human edge a measurable, portable asset.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This episode exposes how industrial‑organizational psychology has long sidelined organized labor, narrowing the field's theories and limiting its impact on worker wellbeing.It traces historical roots, documents practical harms—from incomplete voice mechanisms to inequitable outcomes—and outlines concrete pathways for repair: collaborative research, bargaining support, curriculum reform, and ethical standards that center workers as legitimate stakeholders.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In this podcast episode, Dr. Jonathan H. Westover talks with Simon T. Bailey about his recent book, Resilience@Work: How to Coach Yourself Into a Thriving Future.
Simon T. Bailey is the world’s leading expert in Brilliance. His groundbreaking research, State of Working America Report Thriving in Resilience and Brilliance, solidifies his insights in his 11th book, Resilience@Work: How to Coach Yourself Into a Thriving Future. With Disney Institute as his launchpad, he’s left an indelible mark on 2,400 plus organizations in 54 countries, including American Express, Deloitte, Visa, Signet Jewelers, and Taco Bell. He has made a remarkable impact on 120,000 professionals who’ve experienced his pioneering courses on the LinkedIn Learning platform. He’s also been recognized as Success Magazine’s Top 25, alongside Brené Brown, Tony Robbins, and Oprah Winfrey, as well as being on leadersHum Top 200 Power List.
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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 capacity. Organizations that frame this cohort as "a problem to solve" risk forfeiting competitive advantage. This article synthesizes recent workforce analytics, organizational behavior research, and practitioner interventions to reframe Gen Z mobility as a signal of leadership gaps rather than character deficits. Drawing on cross-industry examples and evidence-based retention strategies, we propose four organizational imperatives: transparent career architecture, embedded developmental support, AI-enabled self-directed learning, and redefined psychological contracts that emphasize growth over tenure. Organizations that recalibrate their talent systems around these pillars position themselves to attract, develop, and retain the workforce that will define the next decade of competitive performance.
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Abstract: This article examines how organizations leverage talent mobility to develop economic complexity—the knowledge network capacity that enables economies to produce diverse, sophisticated goods and services. Drawing on literature from economic geography, organizational science, and knowledge management, it explores how talent mobility drives the diffusion and recombination of productive capabilities across organizational boundaries. Analysis reveals that firms with strategic talent mobility practices demonstrate enhanced innovation capabilities, knowledge spillovers, and resilience to market disruptions. However, these benefits are unevenly distributed, with significant variations by industry, geography, and organizational maturity. The article presents evidence-based strategies for cultivating productive knowledge networks through talent mobility, including capability mapping, cross-functional deployment systems, and strategic diaspora engagement. Organizations that successfully manage these dynamics gain competitive advantage while contributing to broader economic development and complexity in their regions and sectors.
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Abstract: Organizations face a critical choice in how they motivate employees: enforce compliance through rules and monitoring, or cultivate genuine commitment through engagement and shared purpose. Research demonstrates that commitment-based cultures significantly outperform compliance-oriented ones across metrics including innovation, retention, customer satisfaction, and financial performance. Yet many organizations default to compliance mechanisms due to their perceived simplicity and control. This article examines the distinction between commitment and compliance cultures, reviews evidence on their organizational and individual consequences, and synthesizes research-informed interventions for building commitment. Key strategies include transparent communication, procedural justice, capability development, autonomy-supportive leadership, and meaningful work design. Building long-term commitment requires recalibrating psychological contracts, distributing leadership authority, and embedding continuous learning systems. Organizations that successfully shift from compliance to commitment create sustainable competitive advantages while enhancing employee wellbeing and stakeholder outcomes.
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Abstract: Organizations are experiencing profound shifts in how productive knowledge is created, stored, shared, and leveraged amidst changing work patterns. This research-based article examines the restructuring of organizational knowledge ecosystems in response to hybrid work, technological disruption, and evolving workforce expectations. Drawing on recent empirical studies and organizational cases, it analyzes the consequences of knowledge fragmentation and presents evidence-based interventions to strengthen knowledge continuity. The analysis reveals that organizations implementing structured knowledge management approaches—including digital knowledge architecture, collaborative documentation practices, and intentional knowledge transfer mechanisms—demonstrate greater operational resilience and innovation capacity. The article concludes with a framework for building long-term knowledge capabilities through organizational learning systems, knowledge governance structures, and strategic talent practices that preserve critical expertise while adapting to emergent work models.
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Abstract: This article examines how organizational structures mediate the relationship between global talent networks and local economic complexity. As economies become increasingly knowledge-driven, the interaction between internationally mobile talent and local economic ecosystems has emerged as a crucial determinant of innovation capacity and economic diversification. Drawing on research from economic geography, organizational science, and talent management, this analysis identifies how organizational architecture either facilitates or impedes the translation of global knowledge flows into local economic complexity. The evidence suggests that organizations with permeable boundaries, cross-functional collaboration mechanisms, and decentralized decision-making are better positioned to leverage international talent networks to enhance local capabilities. By deliberately designing organizational structures that support knowledge transfer across geographic and cultural boundaries, firms can serve as crucial intermediaries that transform global talent mobility into locally embedded economic complexity, ultimately driving regional competitive advantage and resilience.
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