Results 131 to 140 of about 2,428 (253)
ABSTRACT Artificial intelligence (AI) reflects a paradox for corporate sustainability: it provides tools for genuine socio‐economic improvement and enables greenwashing at scale. This study examines this duality in emerging Asian markets, where rapid AI adoption coincides with evolving regulatory regimes.
Ashutosh Yadav, Simplice A. Asongu
wiley +1 more source
ABSTRACT This study combines a bibliometric analysis and a systematic literature review (SLR) to provide a comprehensive understanding of women's leadership and entrepreneurship within small and medium‐sized enterprises (SMEs) in the context of sustainability and the green transition.
Adriana Dima +5 more
wiley +1 more source
Recent developments in spatial econometrics [PDF]
openaire +1 more source
A Framework for Impression Management in Extra‐Financial Reporting
ABSTRACT This paper examines how organisations employ impression management tactics in extra‐financial reporting, particularly in the context of environmental, social and governance (ESG) concerns. As stakeholder scrutiny and regulatory expectations intensify, organisations increasingly shape non‐financial disclosures to influence perceptions of ...
Laura Ribeiro +3 more
wiley +1 more source
Does a hospital's quality depend on the quality of other hospitals? A spatial econometrics approach.
Gravelle H, Santos R, Siciliani L.
europepmc +1 more source
ABSTRACT Recent regulatory initiatives, including the EU Corporate Sustainability Reporting Directive (CSRD), are reinforcing the demand for more structured, transparent, and accessible sustainability reporting. However, empirical evidence on how digital tools influence the narrative dimension of these disclosures remains limited.
Francesco Sotti +2 more
wiley +1 more source
Demand forecasting of smart tourism integrating spatial metrology and deep learning. [PDF]
Ma J.
europepmc +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley +1 more source

