Results 181 to 190 of about 113,772 (288)

Retirement, financial incentives and health [PDF]

open access: yes, 1998
Kerkhofs, M.   +2 more
core   +2 more sources

Breadth at the Helm: Generalist CEOs and Corporate ESG Performance‐Evidence From China

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Drawing on the Upper Echelons Theory and the Imprinting Theory, this study conjectures that generalist CEOs may have a stronger tendency to pursue environmental, social and governance (ESG) goals. We perform multiple regression analyses with observations of Shanghai and Shenzhen A‐share listed companies from 2010 to 2023 in order to explore ...
Shanmei Luo   +4 more
wiley   +1 more source

A Program‐Led Motivational App (MI‐Coach: ED) for Eating Disorder Waitlists: Findings From a Feasibility and Acceptability Pilot Trial

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Individuals with eating disorders (EDs) often face significant barriers to accessing care, including prolonged waitlists and systemic delays. Digital interventions, such as mobile apps, offer a scalable way to enhance pre‐treatment engagement during this high‐risk period.
Amané Halicki‐Asakawa   +2 more
wiley   +1 more source

Perceived Economic Inequality and Progressive Taxation: The Moderator Role of Upward Mobility Beliefs

open access: yesEuropean Journal of Social Psychology, EarlyView.
ABSTRACT Attitudes toward redistribution have been widely studied, yet individuals respond differently to specific policies. Progressive taxation is one of the most effective mechanisms for reducing inequality and fostering more egalitarian societies, but little is known about the psychological factors shaping support for it.
Juan Matamoros‐Lima   +2 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Analysis Of Factors Affecting Earning Response Coefficient

open access: yesJurnal Riset Akuntansi Terpadu
Ita Rakhmawati, Laila Fajri Agustina
openaire   +1 more source

Home - About - Disclaimer - Privacy