Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

Purpose Sustainability is of growing significance in the contemporary business landscape
as organizations strive to minimize their environmental impact and optimize supply chain …

Background: Circular supply chains (CSCs) aim to minimize waste, extend product
lifecycles, and optimize resource efficiency, aligning with the growing demand for …

Purpose Given the growing emphasis on environmental consciousness and sustainability as
core principles within most companies, product-service systems are recognized as strategic …

The problem with waste generation and waste treatment that countries worldwide are facing,
even after the implementation of measures, raises the question of the adequacy and viability …

A large volume of waste electrical and electronic equipment (WEEE) is generated worldwide
every year. This consists of hazardous and precious metals and represents a significant …

Purpose From a technological determinist perspective, machine learning (ML) may
significantly contribute towards sustainable development. The purpose of this study is to …

Purpose In recent times, the field of corporate intelligence has gained substantial
prominence, employing advanced data analysis techniques to yield pivotal insights for …

Purpose: This study presents a systematic literature review that provides a broad and holistic
view of how machine learning can be used and integrated to enhance decision-making in …

This research proposed a multi-industry framework that aims to clarify reverse logistics
decision-making through a social media analytics approach analyzing the electronics …