Results 171 to 180 of about 109,915 (302)
ABSTRACT This study examines how stakeholder engagement, conceptualized as a boundary‐spanning organizational capability, interacts with firms' decarbonization strategies, in relation to climate action commitments (CACs) in voluntary initiatives.
David Tobón Orozco, Jose Pla‐Barber
wiley +1 more source
Does Carbon Label Design Affect Flight Choices and Trustworthiness?
ABSTRACT Carbon emissions labels shown during flight booking may shift flight choices but also affect perceived trustworthiness of booking‐page information. This study tests how carbon label design influences flight choices, booking propensity and trustworthiness. In a preregistered online experiment (N = 939), participants completed a simulated flight
Henrik Wittwer +2 more
wiley +1 more source
ABSTRACT Institutional investors increasingly rely on ESG ratings to evaluate financially material sustainability risks, while governments promote corporate alignment with the United Nations Sustainable Development Goals (SDGs). Because these frameworks differ substantially in capital market salience and monitoring intensity, board oversight may not ...
Mohamed Hegazy +2 more
wiley +1 more source
Ordinal Regression Research Based on Dual Loss Function-An Example on Lumbar Vertebra Classification in CT Images. [PDF]
Tang CP, Chang HY, Hsu YM, Lin TL.
europepmc +1 more source
ABSTRACT Firms increasingly rely on ESG materiality assessments to prioritise sustainability issues under heightened stakeholder scrutiny. Yet the strategic consequences of materiality beyond firm‐level disclosure remain underexplored. This study examines how materiality assessments shape ESG prioritisation at the industry level using sustainability ...
Shiqi Mai +3 more
wiley +1 more source
Modified RECIST submodels and ordinal regression model predict neoadjuvant chemoimmunotherapy response in locally advanced gastric cancer. [PDF]
Chen S +11 more
europepmc +1 more source
ABSTRACT This study examines how different scoring architectures evaluate the same ESG disclosure text and produce different ESG disclosure‐quality scores. Using sustainability‐related reports published by Korean listed firms during 2020–2021, the study compares three approaches: Human‐ESG based on a structured nine‐item disclosure‐quality rubric, Rule‐
Jaehyun Park
wiley +1 more source
Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification. [PDF]
Tabatabai M +4 more
europepmc +1 more source
Robust estimation for ordinal regression. [PDF]
Ordinal regression is used for modelling an ordinal response variable as a function of some explanatory variables. The classical technique for estimating the unknown parameters of this model is Maximum Likelihood (ML).
Croux, Christophe +2 more
core
Machine learning‐assisted clone selection for intensified cell culture processes
Abstract Intensified fed‐batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space–time yields relative to traditional, non‐intensified fed‐batch processes. However, the shift towards intensified manufacturing has unexpectedly made optimal clone selection more challenging.
Nicolas Wolnick +6 more
wiley +1 more source

