Results 201 to 210 of about 1,758,089 (240)

A Framework for Impression Management in Extra‐Financial Reporting

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper examines how organisations employ impression management tactics in extra‐financial reporting, particularly in the context of environmental, social and governance (ESG) concerns. As stakeholder scrutiny and regulatory expectations intensify, organisations increasingly shape non‐financial disclosures to influence perceptions of ...
Laura Ribeiro   +3 more
wiley   +1 more source

From Nature to Supply Chain: Exploring Biomimicry‐Based Pathways to Sustainability and Competitive Advantage

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Inspired by insights gleaned from biomimicry theory, this paper addresses the persistent lack of theoretically grounded research in sustainable supply chain management (SSCM) and examines how nature‐inspired biomimicry principles could enhance various dimensions of its competitiveness. This study's theoretical contribution lies in its proposal
Susana Garrido   +4 more
wiley   +1 more source

Can AI Write Authentic CSR? Effects of Message Source Across Informational and Narrative CSR Communication

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As artificial intelligence (AI)‐generated messages increasingly approach human‐level quality, can AI effectively substitute human authors in value‐laden brand communications such as corporate social responsibility (CSR) messaging? This study examines how CSR message source (AI‐generated vs.
Terry Haekyung Kim   +2 more
wiley   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

Machine Learning Unveils Isolated‐Surrounded Pt Motifs in High‐Entropy Alloys for Superior Low‐Temperature Ammonia Oxidation

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy