Results 161 to 170 of about 82,469 (304)

Speaking About Artificial Intelligence for Sustainability—How Employees’ Perception of Credibility Shapes Their Initial Attitudes Toward AI Adoption

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Companies increasingly claim to adopt artificial intelligence (AI) not only for economic but also for ecological and social purposes. However, in light of rising greenwashing, bluewashing, and ethics washing, the impact of the communicated rationale on employees' initial attitude toward AI introduction remains unclear.
Marco Baumgartner, Tobias Kopp, Regina Kempen, Steffen Kinkel   +3 more
wiley   +1 more source

What You Say Predicts How You Do: A Multilevel Analysis of Corporate Environmental Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between firms' declarations about environmental issues and actual environmental performance improvement across a set of key environmental performance indicators. Multilevel regression analysis was conducted using a unique data set comprising 7449 firms from 22 industries headquartered in 86 countries for ...
C. José García, Begoña Herrero, Luis E. Vila   +2 more
wiley   +1 more source

Sustainability Assessment of Micro, Small, and Medium Enterprises: A Systematic Review and Hybrid Architecture for Credible, Salient, and Legitimate Knowledge Governance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Sustainability assessment advances corporate social responsibility toward inclusive development. Widely recognized approaches prove inadequate for micro, small, and medium enterprises (MSMEs), resulting in fragmented proliferation that hinders cumulative knowledge.
Luísa Couto Gonçalves de Souza, Laura Proença Guimarães, Maria Auxiliadora Drumond   +2 more
wiley   +1 more source

Resection quality and oncologic outcomes after robotic versus laparoscopic total mesorectal excision for mid and low rectal cancer: a systematic review and meta-analysis of randomised trials. [PDF]

J Robot Surg
Gosavi R, Smith B, Mealy A, Iftekher W, Bell S, McMurrick P, Nguyen TC, Teoh W, Narasimhan V.   +8 more
europepmc   +1 more source

Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy

, 2016
DUKE_HCERES2020There has been an ever-increasing interest in multidisciplinary research on representing and reasoning with imperfect data. Possibilistic networks present one of the powerful frameworks of interest for representing uncertain and imprecise ...
Amor, Nahla Ben, Haddad, Maroua, Leray, Philippe   +2 more
core  

The AI Sustainability Paradox: How Verification and Regulation Synergize to Curb Greenwashing in Emerging Markets

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Artificial intelligence (AI) reflects a paradox for corporate sustainability: it provides tools for genuine socio‐economic improvement and enables greenwashing at scale. This study examines this duality in emerging Asian markets, where rapid AI adoption coincides with evolving regulatory regimes.
Ashutosh Yadav, Simplice A. Asongu
wiley   +1 more source

Dose-Specific Intra-Arterial Thrombolysis After Endovascular Thrombectomy for Large-Vessel Occlusion Stroke: A Network Meta-Analysis of Randomized Trials. [PDF]

Stroke Vasc Interv Neurol
Frechiani LEC, Louzada HL.
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Reply of the Author: "Unexplained" does not mean, "not understood". [PDF]

F S Rep
Paulson RJ.
europepmc   +1 more source

A Comparative Evaluation of Three Large Language Models for Parent‐Centered Questions About Anorexia Nervosa

International Journal of Eating Disorders, EarlyView.
ABSTRACT Background Large language models (LLMs) are increasingly used to obtain health information, including guidance on child and adolescent mental health. In anorexia nervosa (AN), where early recognition and timely intervention are critical, the accuracy of AI‐generated information available to parents may have important clinical implications ...
Celal Yeşilkaya, Hande Kırışman Keleş, Esra Rabia Taşpolat, Caner Mutlu, Serkan Turan   +4 more
wiley   +1 more source