Results 161 to 170 of about 153,725 (275)

Where Tech Meets the SDGs: A Supply‐Chain Process Map for Sustainability Management

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability‐oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology ...
Vincenzo Varriale   +2 more
wiley   +1 more source

Market Perceptions of ESG Reputational Risk in the US Pharmaceutical Industry

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Negative ESG‐related reputational events generate significant corporate risks, particularly within sensitive sectors such as the pharmaceutical industry. Using novel reputational data, this research investigates investor perceptions of the consequences of experienced ESG breaches among US pharmaceutical firms.
Erdinc Akyildirim   +3 more
wiley   +1 more source

Research on vehicle accident hazard scenario derivation based on improved AST. [PDF]

open access: yesSci Rep
Zhou H   +7 more
europepmc   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim   +5 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

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