ABSTRACT Global climate change has elevated the strategic importance of corporate climate risk disclosure, yet the role of industry peer effects in shaping such disclosure remains underexplored. Grounded in social learning theory, this study proposes an “observation–imitation–reinforcement” framework and empirically tests it using panel data on Chinese
Huer Shuang +3 more
wiley +1 more source
A secondary EWMA-based dictionary learning algorithm for polynomial phase signal denoising. [PDF]
Ou G, Zou S, Liu S, Tang J.
europepmc +1 more source
Strategic Approaches to ESG Reporting: Analysing ESG Disclosures of Listed Companies
ABSTRACT This study adopts an exploratory approach to examine how firms communicate strategic orientation through ESG disclosures. Using a validated dictionary of exploration and exploitation language, we analyse 278 ESG reports from all UAE‐listed companies between 2020 and 2023, classifying ESG disclosures as exploration‐dominant, exploitation ...
Cintia Külzer‐Sacilotto +1 more
wiley +1 more source
Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L2,1-Norm. [PDF]
Xu J, Wu J, Li T, Nan Y.
europepmc +1 more source
Supply Chain Innovation and Sustainability Performance: A Systematic Literature Review
ABSTRACT Supply chain innovation and sustainable supply chain management have developed as parallel but insufficiently connected research streams. This systematic literature review synthesises 69 peer‐reviewed studies published between 2007 and 2025 to examine how sustainability‐oriented management practices condition supply chain innovation and how ...
Johanne Harrold +4 more
wiley +1 more source
GraFT: Graph Filtered Temporal Dictionary Learning for Functional Neural Imaging. [PDF]
Charles AS +5 more
europepmc +1 more source
Examining ESG Performance Through TNFD‐Aligned Disclosure Practices
ABSTRACT This study examines adherence to the Taskforce on Nature‐related Financial Disclosures (TNFD) framework in relation to the ESG performance of non‐financial and non‐utility S&P 500 firms. Drawing on legitimacy, stakeholder, and institutional monitoring theories, we construct measures of TNFD, nature‐related risk and opportunity indicators for ...
Dauda Bola Abdulsalam +2 more
wiley +1 more source
Multivariate Time Series Imputation: An Approach Based on Dictionary Learning. [PDF]
Zheng X +3 more
europepmc +1 more source
Dictionary learning over large distributed models via dual-ADMM strategies
We consider the problem of dictionary learning over large scale models, where the model parameters are distributed over a multi-agent network. We demonstrate that the dual optimization problem for inference is better conditioned than the primal problem ...
Sayed, Ali H. +2 more
core +1 more source
Navigating Paradoxes for Strategic Business Models: Toward Shared Automated Vehicles in Europe
ABSTRACT How can paradoxical tensions in the integration of shared automated vehicles in Europe be navigated to build sustainable business models? Prior research often separates economic, social, and environmental dimensions, overlooking how their interdependencies generate tensions across organizational levels.
Denise Feldmann +3 more
wiley +1 more source

