Results 191 to 200 of about 179,170 (301)
What drives animal responses to high severity fire? The role of functional traits
ABSTRACT Fire regimes are changing worldwide, with increases in the frequency, extent, and severity of fires posing growing risks to biodiversity. Fire severity – the degree of habitat alteration following fire – strongly influences both immediate survival and long‐term recovery of fauna.
Grace A. Vielleux +3 more
wiley +1 more source
Optimizing the maximum reported cluster size in the spatial scan statistic for ordinal data. [PDF]
Kim S, Jung I.
europepmc +1 more source
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
Methods for Multilevel Ordinal Data in Prevention Research. [PDF]
Hedeker D.
europepmc +1 more source
Drivers of Nature‐Related Investment Strategies Among Institutional Investors
ABSTRACT Institutional investors are increasingly responding to biodiversity loss through nature‐related investment strategies. Using survey data from 557 institutional investors, this study examines the drivers of strategy selection and how biodiversity risk is integrated across investor types, sizes, and regions.
Emma Olofsson
wiley +1 more source
The Influence of Corporate Sustainability Rating Methodology on Disclosure Behavior
ABSTRACT The rise of environmental, social, and governance (ESG) investing has illuminated long‐standing concerns over the ability for sustainability rating schemes to accurately convey sustainability‐related performance of firms. This study theorizes and empirically examines how a detailed and transparent rating methodology influences what information
Patrick J. Callery
wiley +1 more source
Regression analysis of correlated ordinal data using orthogonalized residuals. [PDF]
Perin J +3 more
europepmc +1 more source
ABSTRACT We examine the effects of big data analytics (BDA) and artificial intelligence (AI) on corporate sustainability performance, specifically investigating the influence of regulatory pressure and top management support. Utilizing hierarchical regression analysis on questionnaire data from 220 Chinese manufacturing firms, we find that both BDA and
Mandella Osei‐Assibey Bonsu +2 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

