Results 161 to 170 of about 230,932 (286)

Patterns and Drivers of Spanish Corporate Commitment to the UN Global Compact: A Quantitative Approach

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper presents a quantitative assessment of Spanish companies' commitment to the United Nations Global Compact (UNGC) and the Sustainable Development Goals (SDGs). Analyzing over 1000 participating firms, we identify prioritization patterns and examine structural factors influencing SDG adherence.
Juan Laborda, Juan Pérez
wiley   +1 more source

Boards of Directors That Transform: A Study on How Specific Architectural Components Drive ESG Performance

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study explores the potential influence of key components of the board of directors' architecture on ESG outcomes. Specifically, we focus on the effects of demographic components (gender and cultural diversity), structural and compositional factors (size, CEO‐Chair separation, and the presence of independent/non‐executive directors), and ...
Jorge Ochaita‐Gonzalez   +3 more
wiley   +1 more source

Environmental, Social, and Governance (ESG) Performance and Equity Misvaluation: The Moderating Role of Country‐Level Factors

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study explores how corporate environmental, social, and governance (ESG) performance affects equity misvaluation and how country‐level factors—national culture, environmental performance indicators, and world governance indicators (WGIs)—moderate the relationship between corporate ESG performance and misvaluation.
Xinyu Wang   +4 more
wiley   +1 more source

Optimal mud pressure design using nonlinear failure criteria for wellbores in shaley sedimentary reservoir

open access: yesDeep Underground Science and Engineering, EarlyView.
The present study uses the Modified Mohr‐Coulomb true‐triaxial failure criterion (MMC_TT), which predicts the strength of rock better than the MGC criterion in laboratory true‐triaxial tests to overcome the limitations. Moreover, based on the data from previously published five vertical wells in the Krishna‐Godavari basin (K‐G basin), an empirical ...
Ravindra K. Burnwal, Aditya Singh
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

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