Results 81 to 90 of about 2,306 (206)

Governing Sustainability After IPO: Corporate Governance Mechanisms and ESG Pillar Trajectories in the Euro Area

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study provides exploratory evidence on whether going public may act as a catalyst for corporate sustainability and examines whether board‐level governance arrangements shape post‐IPO sustainability trajectories. Drawing on a formal conceptual framework that integrates agency theory, legitimacy theory, and the resource‐based view as ...
Salvatore La Barbera
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

Circular and Bio‐Sourced Polymers for Energy Applications: Natural Feedstocks, Recycling, and Upcycling Routes

open access: yesEcoEnergy, EarlyView.
This review provides a critical comparative analysis of circular and bio‐sourced polymers for energy storage, systematically evaluating natural feedstocks alongside recycling and upcycling strategies for battery components. Key structure–property–performance relationships and inherent trade‐offs between sustainability metrics and electrochemical ...
Priyank Sinha   +3 more
wiley   +1 more source

Magneto‐Electrochemical Effect on La‐Doped GaFeO3 as a Supercapacitor Electrode for Energy Storage

open access: yesElectron, EarlyView.
The electrochemical performance of La‐doped Gallium Ferrite (La‐doped GaFeO3 ${\text{GaFeO}}_{3}$) synthesizes via a conventional solid‐state reaction method; this has been studied by the application of an external magnetic fields. ABSTRACT The electrochemical performance of La‐doped GaFeO3 ${\text{GaFeO}}_{3}$ synthesizes via a conventional solid ...
Biswajit Sahoo   +5 more
wiley   +1 more source

Gendered Pathways to Work–Family Balance and Their Consequences: Insights From Dual‐Career Faculty Couples

open access: yesHuman Resource Development Quarterly, EarlyView.
ABSTRACT This study examines gendered work–family balance (WFB) experiences among dual‐career academic couples at U.S. research‐intensive universities. By comparing faculty couples who shared the same or similar professional and family contexts, the study explores how gendered demands, challenges, resources, and strategies shaped distinct WFB outcomes.
Kyung Nam Kim, Shinhee Jeong
wiley   +1 more source

Subordination of related party claims in insolvency: A suggestive framework for Asian regimes

open access: yesInternational Insolvency Review, EarlyView.
Abstract Related party loans, due to their inherent nature, warrant a higher threshold for scrutiny when compared to loans extended by unrelated parties. Why were these monies advanced as loans, carrying higher priority in insolvency, rather than being invested as share capital?
Aditya Jain, Dhanya Jha, Rebecca Parry
wiley   +1 more source

Towards Water, Food and Energy Security: The Global Challenges and Possible Solutions for a Holistic Vision of Sustainability

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT This invited paper gives an overview of the challenges the world is facing and offers a possible solution for water and food security within the holistic integrated concept of the water–energy–food (WEF) nexus. The paper summarizes the experience the author gained through working on various research projects at national and international ...
Ragab Ragab
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin   +4 more
wiley   +1 more source

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