Results 161 to 170 of about 199,356 (267)
Beyond the ESG Facade: Measuring and Addressing Corporate ‘Lip Service’
ABSTRACT Amid growing global attention to environmental, social and governance (ESG), this study examines the misalignment between ESG disclosures and actual practices—termed ‘lip service’—using data from Chinese firms from 2006 to 2022, constructing an index to quantify it.
Jia Xu, Mingwei Liu, Helen X. H. Bao
wiley +1 more source
ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source
Noise-augmented contrastive learning with attention for knowledge-aware collaborative recommendation. [PDF]
Gu W, Xu H, Peng X, Rao N, Zhu H.
europepmc +1 more source
ABSTRACT This study investigates the relationship between waste management outcomes and corporate investment efficiency, as well as the moderating role of CSR committees, using a panel of 267 non‐financial French listed firms over the period 2011–2022.
Bilel Bzeouich +2 more
wiley +1 more source
Contrastive learning-enhanced personalized interaction dual tower network for recommendation. [PDF]
Yang F, Wang B, Li P.
europepmc +1 more source
Vocabulary evolution, word embeddings, and the Book VII readout-functor picture
Thorsten Fuchs, Anna-Sophie Fuchs
openalex +1 more source
Empower Your Ideas with Embedded Intelligence: A Practical Self-Help Book for IoT Innovators
Prof. Divya Meshram +4 more
openalex +1 more source
ABSTRACT This study investigates the relationship between financial constraints and a firm's sustainability performance. Our empirical analysis utilises a panel of 40,445 observations from 9466 listed non‐financial firms across 44 countries, spanning the period from 2002 to 2019.
Boying Xu +2 more
wiley +1 more source
Large language models are homogeneously creative. [PDF]
Wenger E, Kenett YN.
europepmc +1 more source

