Results 161 to 170 of about 46,435 (264)

Teaming Up for Sustainability: Understanding Different Types, Projects, and Enablers of Employee Sustainability Teams

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Employee sustainability teams—groups collaborating continuously and voluntarily on sustainability initiatives—can serve as a bottom‐up driver for organizational change. Despite their potential, however, their role and contributions are underexplored. To fill this gap, our multi‐case study examines 59 projects by 13 teams across three companies
Jennifer Adolph, Markus Beckmann, Katrin Schwarzfischer, Lena Ries   +3 more
wiley   +1 more source

Machine learning-inspired design of a modified spider-shaped MIMO antenna for 5G-advanced wireless communications. [PDF]

PLoS One
Kumar A, Kumar A, Singh G, Neeraj, Ibrahim IM, Al-Gburi AJA.   +5 more
europepmc   +1 more source

From Dictionaries to Deep Learning: A Systematic Mapping Review of the Natural Language Processing Tasks Used to Analyze Sustainability Reports

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley   +1 more source

Mass-Spectrometry-Identified Quality Markers of Jingtong Granules Are Predicted to Engage Upregulated Neutrophil Granule Enzymes in Cervical Spondylotic Radiculopathy: An Integrative Machine-Learning and Molecular-Dynamics Study. [PDF]

Rapid Commun Mass Spectrom
Yang G, Han C, Li H, Chang L, Qiu W, Zheng J, Peng B, Liu H, Yin X, Feng M.   +9 more
europepmc   +1 more source

Can AI Write Authentic CSR? Effects of Message Source Across Informational and Narrative CSR Communication

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As artificial intelligence (AI)‐generated messages increasingly approach human‐level quality, can AI effectively substitute human authors in value‐laden brand communications such as corporate social responsibility (CSR) messaging? This study examines how CSR message source (AI‐generated vs.
Terry Haekyung Kim, Bugil Chang, Katie Haejung Kim   +2 more
wiley   +1 more source

Integrating remote testing and machine learning to identify markers of cerebellar ataxia at home. [PDF]

Commun Med (Lond)
Ponger P, De Picciotto Y, Maisel D, Liandres H, Brisman S, Saban W.   +5 more
europepmc   +1 more source

CSR And Bank Performance: Does Institutional Ownership Matter in the Context of an Emerging Market?

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The question of whether institutional ownership (IO) strengthens the effect of corporate social responsibility (CSR) on financial performance (FP) remains underexplored in literature. This study examines the moderating role of IO in the CSR–FP relationship within an emerging market context, drawing on the stakeholder, agency, and stewardship ...
Kwabena Agyarko Gyekye, Mbalenhle Khatlisi   +1 more
wiley   +1 more source

Drivers of northern peatland CO₂ fluxes revisited: interacting water level-temperature dependency. [PDF]

Nat Commun
Behrens N, Brümmer C, Kasak K, Skeeter J, Strachan IB, van der Velde Y, Evans CD, Morrison R, Helfter C, Bertrand G, Gogo S, Jacotot A, Schaller C, Yeung K, Gharun M.   +14 more
europepmc   +1 more source

Accountability Beyond ESG Disclosure: Credibility, Governance Integrity, and the Sustainability‐Signaling Gap in European Finance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study addresses significant limitations in Environmental, Social, and Governance (ESG) evaluation by transcending disclosure‐based metrics and presenting a credibility‐focused analytical methodology that assesses the congruence between sustainability signals and substantive performance.
K. Ragazou
wiley   +1 more source

Chemical intuition on bond-dissociation energies as an emergent ability of universal machine-learning interatomic potentials. [PDF]

Nat Commun
Hattori S, Shimamura K, Nomura KI, Nakano A, Kalia RK, Vashishta P.   +5 more
europepmc   +1 more source