Results 101 to 110 of about 266,344 (218)

Profiling Social Entrepreneurship Orientation Through Machine Learning Predictive Modeling

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the prediction of Social Entrepreneurship Orientation (SEO) in youth using machine learning techniques to generate a robust predictive model. Drawing on a large cross‐country survey of European youth, results indicate that cognitive–attitudinal indicators—such as concern for environmental goals, purpose‐driven motivation ...
Ángel Peiró‐Signes   +2 more
wiley   +1 more source

Sustainable Development, Environmental Certification and the Financial Performance of the Road Passenger Transportation Sector

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Within the framework of sustainable development and environmental policy, environmental certification is regarded as a mechanism through which road passenger transport companies (RPTCs) could mitigate their adverse environmental impacts and attain competitive advantages that may enhance their financial performance.
Jose Antonio Cavero‐Rubio   +1 more
wiley   +1 more source

Using Financial and Sustainability Ratios to Map Sectors. An Approach With Compositional Data

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The article aims to visualize in a single graph Spanish fish and meat processing companies with respect to solvency, energy, waste and water intensity and gender employment gap. These financial, environmental, and social indicators are ratios, which require specific statistical analysis methods.
Elena Rondós‐Casas   +3 more
wiley   +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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