Results 171 to 180 of about 7,117 (300)
ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui +2 more
wiley +1 more source
Protocol for creating a gene dictionary for organelle genomes using the Gene Dictionary Tool. [PDF]
Dupin B +3 more
europepmc +1 more source
When CSR Gaps Become Competitive Signals: How CEO Motivation Shapes Competitive Dissimilarity
ABSTRACT Prior research has primarily examined corporate social responsibility (CSR) directed toward stakeholders such as investors, consumers, and regulators, signaling trustworthiness and positive moral character. However, nonmarket strategies such as CSR may also be interpreted by firms in relation to competitors, suggesting that CSR may influence ...
Sascha P. Klein
wiley +1 more source
Data dictionaries: essential tools for the ethical and transparent use of integrated data. [PDF]
Pepe RS, Coe K.
europepmc +1 more source
ABSTRACT Green bonds play a central role in sustainable finance, yet concerns about greenwashing raise questions about the credibility of issuers' sustainability disclosures. Using dictionary‐based methods and domain‐specific BERT transformer models, this paper proposes two greenwashing alert metrics and investigates their performance by analyzing ...
Andrea Nicolodi +4 more
wiley +1 more source
Stimulating co-production in healthcare quality improvement: raising the interest of health professionals to collaborate with patients. [PDF]
Brommels M.
europepmc +1 more source
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source
Large language models for generating longitudinal synthetic data in low-risk pregnancy care. [PDF]
Pinto G +9 more
europepmc +1 more source
Generalized Beth–Uhlenbeck Entropy Formula From the Φ‐Derivable Approach
ABSTRACT We derive a generalized Beth–Uhlenbeck formula for the entropy of a dense fermion system with strong two‐particle correlations, including scattering states and bound states. We work within the Φ‐derivable approach to the thermodynamic potential.
David Blaschke, Gerd Röpke, Gordon Baym
wiley +1 more source

