[HTML][HTML] Reviewing the climatic impacts of product service systems: Implications for research and practice
S Sarasini, N Bocken, D Diener, M Velter… - Journal of Cleaner …, 2024 - Elsevier
Product service systems (PSS) are an example of a novel business model billed as having
the potential to significantly reduce the environmental burdens of production and …
the potential to significantly reduce the environmental burdens of production and …
Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality
Y Shang, Q Yang, Y Pu, F Taghizadeh-Hesary - Resources Policy, 2024 - Elsevier
This study collected annual data from 2000 to 2020 for ten polluting industries in China,
investigating the impact of energy efficiency and artificial intelligence on carbon …
investigating the impact of energy efficiency and artificial intelligence on carbon …
Unveiling the role of artificial intelligence in influencing enterprise environmental performance: Evidence from China
K Cheng, Z Jin, G Wu - Journal of Cleaner Production, 2024 - Elsevier
Motivated by the emerging prospects regarding the integration of artificial intelligence (AI)
and cleaner production, we specifically examine the role of AI in affecting enterprises' …
and cleaner production, we specifically examine the role of AI in affecting enterprises' …
Towards smart product-service systems 2.0: A retrospect and prospect
Smart product-service systems (Smart PSS), first coined in 2014 as a digital servitization
paradigm, have experienced rapid development, especially in the past 5 years …
paradigm, have experienced rapid development, especially in the past 5 years …
Scientists' warning on technology
In the past several years, scientists have issued a series of warnings about the threats of
climate change and other forms of environmental disruption. Here, we provide a scientists' …
climate change and other forms of environmental disruption. Here, we provide a scientists' …
Machine learning for sustainable development: leveraging technology for a greener future
Purpose From a technological determinist perspective, machine learning (ML) may
significantly contribute towards sustainable development. The purpose of this study is to …
significantly contribute towards sustainable development. The purpose of this study is to …
Smart product service resources composition optimization for smart product service system in context of industrial IoT platform
Z Chen, Y Su, J Zhang, T Zhou, Y Cao, Q Li… - Advanced Engineering …, 2024 - Elsevier
Smart product service resources composition (SPS-RC) is a core issue of smart product
service system (PSS) development in the emerging context of industrial internet of things …
service system (PSS) development in the emerging context of industrial internet of things …
Investigating Social and Environmental Hotspots Throughout the Lifecycle of Product-Service Systems in the Early Design Stages
Abstract Product-Service Systems (PSS) have been recognized as potential game-changers
for advancing sustainability. However, the sustainability of a PSS over traditional products …
for advancing sustainability. However, the sustainability of a PSS over traditional products …
Sustainable AI-standards, current practices and recommendations
Abstract Artificial Intelligence (AI) and Sustainability are two most evolving socio-technical
areas of today's world. The potential impacts of AI on the society from sustainability point of …
areas of today's world. The potential impacts of AI on the society from sustainability point of …
Intelligent X-ray waste detection and classification via X-ray characteristic enhancement and deep learning
Y Li, X Zhang - Journal of Cleaner Production, 2024 - Elsevier
Waste management plays an important role in environmental protection and resource
recycling. In fact, traditional waste recycling requires a large number of workers to sort …
recycling. In fact, traditional waste recycling requires a large number of workers to sort …