Results 31 to 40 of about 161 (161)
Decoding Emotional Signatures of Ethical Ads: An Analysis of Actor‐Viewer Synchrony
ABSTRACT We examine whether ethical advertisements differ from conventional ads in their on‐screen emotional signatures and whether those signatures transfer to actor‐viewer synchrony. Study 1 analyses 138 professionally produced YouTube ads using Automated Facial Expression Recognition (AFER) and Convolutional Neural Networks (CNN) to quantify actor ...
Vik Naidoo, Nicolas Hamelin
wiley +1 more source
Abstract Biostimulants are increasingly used in agriculture to promote plant growth, improve stress tolerance, and support sustainable farming practices. One common method of production is chemical hydrolysis of protein‐rich waste, such as tannery by‐products, offering an economical and eco‐friendly alternative to conventional raw materials.
Karel Kolomazník +3 more
wiley +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Resilience Practices and Post‐Traumatic Growth Among Sudanese IDPs
ABSTRACT In this paper we examine the resilience of internally displaced persons (IDPs) in Sudan who have endured various forms of suffering resulting from being targeted or trapped by militants involved in large‐scale violence. Upon escaping the conflict zones, the civilians exhibit strength, adaptability, and wisdom in the face of various threats to ...
Karina Korostelina +2 more
wiley +1 more source
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
ABSTRACT This study examines the impact of board composition (BC) on sustainability reporting (SR) in financial firms listed on the Dhaka Stock Exchange (DSE), with a focus on the moderating role of non‐performing loans (NPLs). Using 421 firm‐year observations from 49 firms (2016–2024) and an ordinary least squares (OLS) regression model, the results ...
Sumon Kumar Das, Prome Akter
wiley +1 more source
Corporate Sustainability Transition: Methodological Analysis for a Rating Model
ABSTRACT This study introduces a new rating model for the evaluation of corporate sustainability, addressing the inconsistencies and divergences that characterize current ESG assessment systems. The model is hierarchically structured, comprising 99 indicators organized into 19 modules, and is designed to be adaptable by sector and firm size.
Riccardo Censi +3 more
wiley +1 more source
Where Tech Meets the SDGs: A Supply‐Chain Process Map for Sustainability Management
ABSTRACT This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability‐oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology ...
Vincenzo Varriale +2 more
wiley +1 more source
Using Financial and Sustainability Ratios to Map Sectors. An Approach With Compositional Data
ABSTRACT The article aims to visualize in a single graph Spanish fish and meat processing companies with respect to solvency, energy, waste and water intensity and gender employment gap. These financial, environmental, and social indicators are ratios, which require specific statistical analysis methods.
Elena Rondós‐Casas +3 more
wiley +1 more source
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 +7 more
wiley +1 more source

