When investors hold disproportionately high carbon emitters with associated increased carbon risk, a positive relationship exists between a firm’s carbon emissions and the association between the stock returns and dividend payment. If investors hold disproportionately high carbon emitters with the associated increased carbon risk stocks, the stock market reacts less positively (more negatively) to dividend increase (decrease) announcements. At the same time, if firms under-price their carbon risk, the stock market reacts less positively (more negatively) to dividend increase (decrease) announcements.
03:47
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.
- Recherche
- Logistique et Supply Chain, Transformation Digitale
