Exploring Supply Chain Visibility for Circularity: A Delphi Approach
ABSTRACT Circular supply chains (CSCs) depend on enhanced supply chain visibility (SCV) to track and manage resource flows and thereby enable efficient decision‐making. Despite confronting silo mentalities, fragmented information, technological barriers, resistance to change, and a lack of standardization, data sharing remains crucial for SCV and ...
Tarun Kumar Agrawal +7 more
wiley +1 more source
A deep learning approach integrating multi-dimensional features for expert matching in healthcare question answering communities. [PDF]
Zhang Y, Wang T, Wang Y, Li X, Tang Y.
europepmc +1 more source
ABSTRACT Circular product design (CPD) is central to advancing the circular economy by enabling the narrowing, slowing, and closing of resource flows. Yet, its implementation remains persistently challenging for firms. Prior research has largely framed these challenges as discrete barriers, overlooking the structural contradictions embedded in CPD ...
Vanessa Robertson +2 more
wiley +1 more source
A multilingual heterogeneous knowledge graph framework for curriculum-vacancy-MOOC alignment: edge-weight regression with heterogeneous graph transformers for educational recommendation. [PDF]
Serikbayeva S +6 more
europepmc +1 more source
Food Waste Applications Beyond the West: Archetypes and Insights From China
ABSTRACT Food waste is a major challenge for sustainable development, but digital solutions designed to reduce it remain unevenly distributed globally. Food waste mobile applications (FWMAs) have emerged as promising tools for reducing food surpluses through redistribution and improved household food management.
Jiequan Hong +2 more
wiley +1 more source
ABSTRACT Growing environmental awareness has intensified demand for sustainability and transparency, especially in cruise tourism, a high‐impact and highly scrutinised service context. This study examines how green consumption values (GCV) shape passengers' perceptions of the credibility of green marketing claims (believability) and, in turn, influence
Marcello Risitano +3 more
wiley +1 more source
Exposure-aware multimodal engagement prediction for short-video platforms: an explainable human-media interaction framework. [PDF]
Zhang J, Liu H.
europepmc +1 more source
Recommendation of deep reinforcement learning based on value function considering error reduction. [PDF]
Zhou J, Shen D, Guo Y, Wu Y, Ma J.
europepmc +1 more source
Deep fusion explainable recommendation based on sentiment analysis and feature weighting. [PDF]
Li K, Idrus Z.
europepmc +1 more source

