Results 201 to 210 of about 24,738,021 (313)
ABSTRACT Although firms that integrate a sustainability orientation (SO) may experience a significant improvement in their resource efficiency, many, particularly small‐ and medium‐sized enterprises (SMEs), still struggle with the complexities of incorporating sustainability into their business models.
Michael Adu Kwarteng +3 more
wiley +1 more source
On nonparametric estimation of the latent distribution for ordinal data
S. Ghosh +4 more
semanticscholar +1 more source
ABSTRACT Small enterprises (SEs) constitute a major component of economic systems, and their socio‐environmental commitment is critical for promoting societal well‐being. This paper examines the direct effect of sound financial practices on socio‐environmental commitment and evaluates the mediating role of financial constraints—specifically debt and ...
Marcos Álvarez‐Espiño +2 more
wiley +1 more source
Regression analysis of correlated ordinal data using orthogonalized residuals. [PDF]
Perin J +3 more
europepmc +1 more source
ABSTRACT This study examined how male rape myths, racial/ethnicity biases, and sexuality stereotypes influence verdicts in male‐on‐male rape trials—an area that is currently under‐researched. A sample of 463 participants read a mock rape trial, where both the defendant and complainant were male, with defendant ethnicity (White, Black, Asian) and ...
Lee J. Curley +3 more
wiley +1 more source
A Markov random field model with cumulative logistic functions for spatially dependent ordinal data. [PDF]
Ip RHL, Wu KYK.
europepmc +1 more source
The trend odds model for ordinal data. [PDF]
Capuano AW, Dawson JD.
europepmc +1 more source
ABSTRACT Limited access to cadavers necessitates the availability of digital resources for anatomy education. Smartphone‐based photogrammetry offers a promising solution for creating three‐dimensional (3D) and augmented reality (AR) models. This study compared two mobile photogrammetry applications (Qlone and Polycam) that have been used in modern ...
Sarita Phukwantong +3 more
wiley +1 more source
Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression. [PDF]
Montesinos-López OA +4 more
europepmc +1 more source

