Amidst the unprecedented economic backdrop of a global pandemic, the intricate web of greenwashing discourse in times of fake news has woven its threads into the fabric of corporate sustainability, reshaping managers’ perceptions and challenging their attitudes toward sustainable decision-making. In a two-phase qualitative study, this research explores the impact of greenwashing discourse on managers’ perceptions and attitudes toward sustainability post pandemic in France. The results reveal a disconnection between external greenwashing discourse and the managerial mindset, as claims of greenwashing are often linked to “fake news.” Furthermore, the study shows that the pandemic has shifted the spotlight onto financial concerns, overshadowing sustainability in strategic decision-making and thereby altering the landscape of corporate responsibility. Going beyond the conventional focus on consumers and clients, this study aims to fill a critical gap in greenwashing research by examining the impact on different stakeholders. In this investigation, we aim to contribute to research on greenwashing discourse by offering more comprehensive understanding of the complexities and nuances involved in managerial perceptions of the discourse and sustainability initiatives in an era marked by unprecedent challenges.
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.
- Research
- Digital Transformation, Logistics and Supply Chain
