Reverse logistics has become a competitive need for sustainability. Lack of resources to
apply reverse logistics solutions has severely impacted many supply chains' costs and …

Despite the vast literature on green purchasing practices and sustainability, the role of an
organization's green capabilities in defining green purchasing practices for triple‐bottom …

This paper presents an end-to-end deep reinforcement learning (DRL) approach aimed at
efficiently determining energy-optimal routes for a group of electric logistic vehicles, with the …

Building information modeling (BIM) is a modern data information platform and management
tool that promotes the development of green buildings. In Pakistan, the building sector …

Transportation facilities have expanded globally because of rapid industrialization and
economic growth. Transportation involves substantial use of energy therefore strongly linked …

Rising environmental and social challenges have compelled policymakers and
academicians worldwide to look for an optimal solution to spur cities into a new dimension to …

In this research, employing the ARDL (Autoregressive Distributed Lag) estimation technique,
the impacts of the digitalization of logistics on the efficiency of natural resource deployment …

There is an increasing interest among both researchers and environmental management
practitioners, in the topics of environmental sustainability, and logistics operations, as well …

In recent years, there has been a growing interest in scholars and practitioners to explore
the factors that lead to an improvement in Students' psychological wellbeing. Due to the …

With the advancements of GenAI models, their capabilities are expanding significantly
beyond content generation and the models are increasingly being used across diverse …