Results 161 to 170 of about 2,122 (263)

Does ESG Drive Performance or Does Performance Enable ESG? Evidence of Reverse Causality From Korean Firms

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The Environmental, Social, and Governance (ESG)‐performance literature has grown substantially, yet a fundamental question remains underexplored: do ESG investments improve firm performance, or do high‐performing firms simply invest more in ESG? We empirically address this question using panel vector autoregression with Granger causality tests
Jiyeon Kim, Wooyoung Yang
wiley   +1 more source

Artificial Intelligence and Corporate Social Irresponsibility

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines whether and how firms' adoption of artificial intelligence (AI) is associated with corporate social irresponsibility (CSI). Ex ante, theories provide conflicting predictions regarding this association, making it an important empirical question.
Tobias Steindl
wiley   +1 more source

Evidence for the Effectiveness of the Performance Passport Within an Intelligence‐Based Weightlifting Anti‐Doping Programme

open access: yesDrug Testing and Analysis, EarlyView.
Anti‐doping programmes require efficient testing, as biological testing is costly; the Athlete Performance Passport (APP) uses performance data to identify at‐risk athletes alongside APMU and ABP methods. Since the introduction of the steriodal passport in 2014, the APP outperformed APMU (17%) and ABP steroidal profiles (10%) with 30% detection ...
Gregory Hayward   +5 more
wiley   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

open access: yesDeep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang   +3 more
wiley   +1 more source

Dental development in the tropical gar (Atractosteus tropicus) and the evolution of vertebrate dentitions

open access: yesDevelopmental Dynamics, EarlyView.
Abstract Background Dentitions have diversified enormously during vertebrate evolution, involving reductions, modifications, or allocations to prey seizing and processing regions. A combination of ancient and novel features related to dental and oropharyngeal apparatuses is found in extant lineages of non‐teleost fishes, such as the gars.
Anna Pospisilova   +4 more
wiley   +1 more source

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