The HCL Review Podcast

Abstract: Organizations increasingly deploy artificial intelligence to augment human decision-making in high-stakes domains, yet mounting evidence reveals that AI accuracy alone does not reliably translate into superior human-AI team outcomes. This article examines the critical but underexplored role of human mental models—specifically, users' understanding of when and where an AI system errs—in shaping the effectiveness of AI-advised decision-making. Drawing on foundational experimental research by Bansal, Nushi, Kamar, Lasecki, et al. (2019), the article unpacks three properties of AI systems and tasks—error boundary parsimony, stochasticity, and task dimensionality—that determine how readily humans learn to complement an AI teammate. Evidence-based organizational responses are presented, spanning system design, explainability strategy, update governance, and workforce development. The article concludes with forward-looking pillars for building durable human-AI collaboration capability, arguing that practitioners must optimize not only for what the AI gets right, but for how predictably humans can learn what it gets wrong.

Abstract: Policymakers across OECD nations routinely encourage or require unemployed jobseekers to widen their search beyond previous occupations, pay levels, and commuting ranges. Career scholars have similarly endorsed flexibility as a hallmark of adaptable, self-directed career management. Yet a growing body of evidence suggests that flexible job search behavior (FJSB) may not deliver the anticipated benefits—and may, in some cases, undermine both re-employment likelihood and subsequent job quality. This article synthesizes research on the antecedents, mechanisms, and consequences of FJSB, drawing centrally on a landmark two-wave longitudinal study of 672 unemployed Flemish jobseekers. It examines the opposing "positive path" and "negative path" through which flexibility operates in the hiring process, explores why career-adaptable individuals do not necessarily search more flexibly, and outlines evidence-based organizational and policy responses. The article concludes with forward-looking recommendations for building long-term career resilience without sacrificing re-employment quality.

Abstract: This article examines the phenomenon of turnover contagion—the process by which employees' decisions to leave an organization spread to and influence the quitting behavior of their coworkers. Drawing on the foundational research of Felps et al. (2009), which demonstrated that coworkers' job embeddedness and job search behaviors predict individual voluntary turnover above and beyond traditional attitudinal predictors, this article translates meso-level turnover theory into practical organizational guidance. The discussion synthesizes social comparison theory, job embeddedness theory, and contemporary workforce data to explain why turnover cascades through work groups and what organizational leaders can do to interrupt the cycle. Five evidence-based intervention strategies are presented—spanning embeddedness-building, socialization design, managerial capability development, stay conversation practices, and team composition management—each illustrated with organizational examples. The article concludes with a forward-looking framework for building long-term retention resilience in an era of persistent engagement decline and evolving employee expectations.

Abstract: Generation Z now makes up a large and growing share of the workforce, and organizations are searching for reliable ways to earn and keep its commitment. This article draws on a recent study of 150 Generation Z employees in Surabaya, Indonesia (Noerchoidah et al., 2026), which found that work-life balance, the work environment, and job satisfaction each had positive, significant effects on work commitment, yet job satisfaction did not carry those effects indirectly. The pattern suggests that younger employees form commitment through direct, lived experiences of flexibility, support, and workplace quality rather than through a general sense of contentment alone. Integrating that finding with social exchange theory, perceived organizational support research, and field experiments on flexibility, supervisor training, psychological safety, and onboarding, the article outlines four evidence-based organizational responses and three long-term capabilities. It concludes that commitment among early-career employees is best treated as an ongoing exchange that organizations demonstrate daily, and it notes limits in generalizing from single-site, cross-sectional evidence.

Abstract: Workplace bullying affects an estimated 32% of American workers and carries significant consequences for individual health and organizational performance. Yet organizational responses remain disproportionately focused on identifying and removing individual perpetrators rather than addressing the structural conditions that enable persistent mistreatment. This article examines the evidence base for understanding workplace bullying as a systemic phenomenon shaped by power imbalances, organizational tolerance, bystander silence, and deficient complaint-response mechanisms. Drawing on meta-analytic findings, large-scale survey data from the 2024 Workplace Bullying Institute report, and practitioner case studies from healthcare, technology, and surgical education, the article presents evidence-based interventions targeting the organizational infrastructure of bullying. Recommendations span psychosocial safety climate development, accountability architecture, bystander activation, procedural justice in complaint systems, and leadership capability building. The article concludes with a framework for building long-term organizational resilience against workplace mistreatment.