Results 51 to 60 of about 1,133 (248)
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui +2 more
wiley +1 more source
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source
Energy Science &Engineering, EarlyView.This study develops a multi‐objective optimization framework to evaluate large‐scale carbon capture, utilization, and storage (CCUS) deployment in China's coal‐fired power sector. By jointly considering cost, net CO2 mitigation, and system robustness under infrastructure constraints, the analysis reveals Pareto‐optimal deployment patterns and ...
Linjie Fang, Xu Tang, Yuqing Jiang
wiley +1 more source
Journal of Innovations and SustainabilityPurpose. The purpose of this work is to identify the lexical features of marketing funnel terminology functioning in the Ukrainian-language professional discourse of digital marketing, based on publications from a specialised marketing blog. Results. A
Iryna Zhalinska, Tetiana Zavalii
doaj +1 more source
A Novel Text‐Based Framework for Forecasting Carbon Prices
Journal of Forecasting, EarlyView.ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley +1 more source
Talent Management in SMEs: Unraveling the Role of Contextual Factors
Human Resource Development Quarterly, EarlyView.ABSTRACT Employing a multiple case study analysis, this paper explores the contextual factors—internal, external, and relational—that affect small and medium‐sized enterprises (SMEs) in designing their approaches to talent management (TM). Results underscore the significance of two prominent internal variables—namely, organizational size and ownership ...
Franca Cantoni +2 more
wiley +1 more source
Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories
International Journal of Finance &Economics, EarlyView.ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley +1 more source
Economic Dictionaries on the Web
HERMES - Journal of Language and Communication in Business, 2017 This paper surveys the economic dictionaries available on the internet, both for free and on subscription, addressed to various kinds of audiences from schoolchildren to research students and academics. The focus is not much on content, but on whether and how the possibilities opened by electronic editing and by the modes of distribution and ...
openaire +3 more sources
How and Under What Conditions Self‐Conscious Emotions Influence Word of Mouth and Decisions to Buy
Psychology &Marketing, EarlyView.ABSTRACT Shame and pride are two self‐conscious consumer emotions that govern social behavior and can be effective gate‐ways for managerial influence. Conditions producing shame and pride are manipulated to explain how criticisms/disapproval and compliments/praise, respectively, lead to word of mouth communications and decisions to buy.
Mateus Manfrin Artêncio +3 more
wiley +1 more source
The Tasty Side of Numbers: How Vowel Type Influences Taste Perceptions for Numerical Brand Names
Psychology &Marketing, EarlyView.ABSTRACT Numerical brand names are commonly used in food marketing yet underexplored for their sensory impact. Relying on processing fluency theory, across four studies, including an IAT (n = 149), a quantitative and qualitative lexical analysis of professional wine tasting notes (n = 695), an online study (n = 306), and archival consumer wine ratings (
Nathalie Spielmann, Diego Vega
wiley +1 more source