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
Beyond Ribosomal Mutations: Identification of <i>MPN_080</i> as a Novel ATPase-Dependent Determinant of Macrolide Resistance in <i>Mycoplasma pneumoniae</i>. [PDF]
Li S +7 more
europepmc +1 more source
ABSTRACT Scholars have documented that corporate social responsibility (CSR) is critical to firm performance, yet its impact on international expansion remains underexplored. CSR not only serves as a signaling mechanism in international markets but also entails substantial resource commitments.
Mingjie Fang +3 more
wiley +1 more source
Adaptive Planning Method for ERS Point Layout in Aircraft Assembly Driven by Physics-Based Data-Driven Surrogate Model. [PDF]
Xu S, Huang X, Li S, Hou G.
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
Bayesian inference for integrated pharmacokinetic modelling of mitragynine and 7-hydroxymitragynine. [PDF]
Notario D +5 more
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
UniTriRob: a robust machine learning regression model for predicting lettuce yields in aeroponic vertical farming. [PDF]
Rajendiran G +4 more
europepmc +1 more source
Firm‐Level Corporate Social Responsibility and Employees' Affective Outcomes: A Multilevel Approach
ABSTRACT This study advances research on corporate social responsibility (CSR) and employees' work attitudes by distinguishing between employee‐level CSR perceptions and firm‐level CSR practices. Prior research has mainly focused on how employees' perceptions of CSR relate to their affective outcomes; this study extends that perspective by jointly ...
Alexander C. Kraaij +2 more
wiley +1 more source
Identification of Regions of Interest in Neuroimaging Data With Irregular Boundary Based on Semiparametric Transformation Models and Interval-Censored Outcomes. [PDF]
Lee CY, Shi H, Ma D, Beg MF, Cao J.
europepmc +1 more source

