Drawing on Foucauldian techniques of the self, this study explores how individuals re-envision wellness practices outside traditional organizational contexts during extreme events. Based on a thematic analysis of 7,234 comments posted on the YouTube channel Yoga with Adriene in 2020, this study unveils a technology-mediated self-care practice, which we conceptualize as somametamnemata. Our findings illustrate three aspects of somametamnemata related to yoga, a form of bodywork: caring for oneself by practicing yoga online; caring for oneself and others by sharing yoga in written comments; and caring for oneself and others by responding to shared verbalizations of yoga. By locating the potential of individual well-being within malaise, we move « corporate well-being » beyond organizational boundaries.

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Robotic warehouses have transformed logistics, prioritizing speed and efficiency. However, traditional static priority systems often leave low-priority customers facing excessive delays, raising concerns about fairness. This research, based on Invia, a robotic warehouse company, proposes a dynamic priority allocation model to balance efficiency and fairness. By adjusting order priorities over time, this approach ensures that both high-priority and long-waiting low-priority orders receive timely fulfillment. Through stochastic modeling and simulations, we demonstrate that dynamic prioritization reduces delays compared to static and first-come, first-served (FCFS) models. Case studies in e-commerce and healthcare logistics illustrate the broader impact of fairness in automation. As industries increasingly rely on AI-driven decision-making, the balance between efficiency and equity becomes critical. This research challenges the assumption that robotic warehouses should optimize for speed alone and advocates for a future where fairness plays a central role in automated commerce.
YUAN Zhe - EMLV |
- Recherche
- Logistique et Supply Chain, Transformation Digitale