Improved Egret Swarm Optimization Algorithm Based on Variable-Factor Weighted Learning and Adjacent Generation Dimension Crossover Strategy. [PDF]
Wang S, Zheng Y, Wang P, Cheng Z.
europepmc +1 more source
Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao +3 more
wiley +1 more source
Impact Measuring in Sustainable Ventures: A Process Perspective
ABSTRACT Impact measurement is crucial for sustainable ventures to quantify their contribution to sustainable development. Although research has highly focused on impact measurement as a static activity, we conduct a qualitative study to explore how impact measuring as a process unfolds over time.
Jan Moellmann +2 more
wiley +1 more source
A Review of the Expansion and Integration of Production Line Balancing Problems: From Core Issues to System Integration. [PDF]
Sitahong A, Lu Z, Yuan Y, Mo P, Ma J.
europepmc +1 more source
Transforming Procurement: The Dynamic Capabilities and Microfoundations to Buy Circular
ABSTRACT Circular Procurement (CP) integrates Circular Economy (CE) principles into purchasing decisions to close material loops and retain value across product life cycles. Yet, its adoption remains limited due to persistent barriers within procurement processes.
Francesco Cafforio, Ilaria Giannoccaro
wiley +1 more source
Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective
ABSTRACT Despite growing enthusiasm for generative artificial intelligence (GenAI) in sustainability management, it remains unclear how such technologies translate vast ESG information into meaningful environmental outcomes. This study addresses this gap by investigating how ESG sensemaking capability mediates the relationship between GenAI integration
Surajit Bag +3 more
wiley +1 more source
DyReMamba for efficient point cloud analysis with dynamic reordering and bidirectional state space modeling. [PDF]
Li Z +9 more
europepmc +1 more source
A Business Framework for Product Take‐Back—A Structured Multiple‐Case Analysis
ABSTRACT The potential of take‐back systems remains largely unrealized as initiatives have proven difficult to implement in practice. The question is why we do not see more take‐back systems given the substantial environmental benefits. We try to understand the challenges and stumbling blocks in setting up take‐back from a business perspective.
Rasmus Jørgensen, Torben Pedersen
wiley +1 more source
Three-learning strategy particle swarm optimization for air-ground collaborative logistics transportation scheduling problem with pickup and delivery considering customer priorities. [PDF]
Qi Y, Jiang H, Huang G, Wang F, Ye L.
europepmc +1 more source

