Logistics and Supply Chain

Épisodes du podcast

Sustainability is increasingly vital for companies, addressing regulations, customer expectations, cost, and efficiency. Industry 4.0 introduces powerful tools like Internet of Things (IoT), Artificial Intelligence (AI), Blockchain, and Big Data Analytics, which enable real-time data sharing, automation, and greater traceability across supply chains. However, successful implementation requires strategic integration: companies must set clear objectives, map processes, and align with partners to form a unified digital network. This approach fosters transparency and real-time collaboration, which can reduce waste and optimize resource use, ultimately driving sustainable growth and improving customer satisfaction.
SRHIR Saoussane - EM Normandie |
Traditional supply chains are linear and slow, lacking real-time data sharing. Supply Chain 4.0, powered by Industry 4.0 technologies like AI, IoT, Blockchain, Big Data, and Autonomous robots, transforms these networks by integrating real-time communication among people, machines, and processes. This boosts efficiency through automation and advanced analytics, enabling accurate demand forecasting, cost reduction, and waste minimization. It also provides real-time visibility, allowing companies to track shipments and materials instantly.
SRHIR Saoussane - EM Normandie |
Online shopping satisfaction hinges on two major factors: “fairness and security.” Customers want fair pricing, transparent processes, and respectful treatment—what researchers call distributive, procedural, and interactional “justice.”
UL-AIN Noor - EMLV |
Digital technologies can create confusion among donors in the humanitarian supply chain (HSC), leading to uncertainty about their use. While resilience in HSCs has been widely studied, antifragility has not. This study examines how donor confidence in digital technologies impacts antifragility in HSCs through their application in sourcing, material flow, and distribution, with trust in digital technologies and perceived effective digital technology governance as moderating factors. Using resource dependence theory, data from 296 NGOs were analyzed with partial least squares–based structural equation modeling (PLS-SEM). The findings show that digital technology application is crucial for building an antifragile HSC and that donor confidence and trust in digital technologies are essential. NGOs should focus on enhancing trust and governance perception to facilitate digital transformation in HSCs.
BAG Surajit - Excelia Business School |
Based on institutional theory and the dynamic capability view, this study delves into the relationship between a firm’s climate change adaptation (CCA) capability and its performance, with a focus on the mediating influence of business-to-business (B2B) marketing capability. The study poses two main research questions: RQ1: What role do institutional pressures play in fostering CCA capability among B2B firms in both developed and developing countries? RQ2: How does the CCA capability of B2B firms impact their performance? To validate the theoretical model developed, data is collected through surveys conducted in a developed country (Australia) and a developing country (South Africa). The study holds significance on two fronts: (a) being among the first to examine the influence of institutional pressures on CCA capability development, and (b) uncovering the mediating role of marketing capability in enhancing B2B firm performance through CCA capability. The study’s novel contribution lies in identifying pivotal elements for driving exceptional B2B firm performance amidst climate change, while employing institutional theory and the dynamic capability view to elucidate underlying mechanisms.
BAG Surajit - Excelia Business School |
With improving environmental consciousness and the growing demand for valuable resources, waste recycling has become an important concern. This work studies the profit of recyclers and platforms with a degree of trust-building in the reverse logistics system considering the following scenarios: online recycling platform builds trust or not under centralized and decentralized models. The results show that trust-building can effectively make more revenue for the system of the online recycling platform with enhanced demand if the cost of the trust-building construction is relatively low. The revenue-sharing contract is more profitable than the cost-sharing contract but fails to achieve optimization in the integrated setting. We find a new decision support tool for optimal strategies under different decision-making models.
YUAN Zhe - EMLV |