Results 181 to 190 of about 132,464 (343)

Patterns and Drivers of Spanish Corporate Commitment to the UN Global Compact: A Quantitative Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper presents a quantitative assessment of Spanish companies' commitment to the United Nations Global Compact (UNGC) and the Sustainable Development Goals (SDGs). Analyzing over 1000 participating firms, we identify prioritization patterns and examine structural factors influencing SDG adherence.
Juan Laborda, Juan Pérez
wiley   +1 more source

Corporate Sustainability Performance and Fraud Risk Management in Nigeria's Extractive Sector: The Moderating Role of Ownership Structure in an Evolving Environmental Policy Landscape

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Using the environmental quality cost management model, this study examines how fraud risk management (FRM) influences corporate sustainability performance (CSP) and how ownership structures moderate it. The study uses artificial neural networks (ANN) and logistic regression models to test two hypotheses. H1 demonstrates that the prevention and
Israel Akinbode Owolabi, Michael Odei Erdiaw‐Kwasie, Emmanuel Tenakwah, Matthew Abunyewah   +3 more
wiley   +1 more source

A longitudinal study on poverty status changes of disabled workers: Using a panel logit mixed model

, 2013
Sun Woo Lee
openalex   +1 more source

The Link Between Financial Auditors and Corporate Social Responsibility: A Review of Empirical Studies and Implications for Future Research

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Based on stakeholder agency theory, this structured literature review included 89 empirical quantitative studies published between 2013 and the present on the complex relationship between financial auditors and corporate social responsibility (CSR) outcomes. We created a research framework based on DeFond and Zhang's (2014) taxonomy and the bi‐
Patrick Velte
wiley   +1 more source

Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements [PDF]

, 2007
Danny Campbell, Campbell, Danny
openalex   +1 more source

DISSECTING PREFERENCE HETEROGENEITY IN CONSUMER STATED CHOICES [PDF]

This paper investigates alternative methods to account for preference heterogeneity in choice experiments. The main interest lies in assessing the different results obtainable when investigating heterogeneity in various ways.
Edoardo Marcucci, Valerio Gatta
core  

Fitting garbage class mixed logit models in Stata

The Stata Journal: Promoting communications on statistics and Stata
In this article, I describe the garbagejnixl command, which fits the garbage class and standard panel mixed logit models in Stata.
openaire   +1 more source

Identification of neural crest and melanoma cancer cell invasion and migration genes using high‐throughput screening and deep attention networks

Developmental Dynamics, EarlyView.
Abstract Background Cell migration and invasion are well‐coordinated in development and disease but remain poorly understood. We previously showed that the neural crest (NC) cell migratory wavefront shares a 45‐gene panel with other cell invasion phenomena.
J. C. Kasemeier‐Kulesa, S. Martina Perez, R. E. Baker, P. M. Kulesa   +3 more
wiley   +1 more source

Scalp‐negative medial temporal interictal epileptic discharges alter large‐scale brain networks: A simultaneous high‐density electroencephalographic and intracranial electroencephalographic study

Epilepsia, EarlyView.
Abstract Objective Interictal epileptiform discharges (IEDs) observed on scalp electroencephalography (EEG) serve as a diagnostic hallmark of epilepsy. However, only a small fraction of IEDs recorded by intracranial EEG (iEEG) are detectable on the scalp; the vast majority remain invisible on scalp recordings.
Nicolas Roehri, Pia De Stefano, Laurent Spinelli, Renaud Marquis, Stanislas Lagarde, Shahan Momjian, Margitta Seeck, Serge Vulliemoz   +7 more
wiley   +1 more source

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

Journal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source