Results 81 to 90 of about 1,629 (189)
ABSTRACT Research on digitalization, sustainability, and firm performance has grown rapidly in recent years, yet the literature remains fragmented across disciplines, concepts, and empirical settings. This study addresses the fragmentation by providing a combined bibliometric and systematic literature review (B‐SLR) of research at the intersection of ...
Muhammad Haseeb +2 more
wiley +1 more source
ABSTRACT This research examines the synergistic influence of corporate social responsibility (CSR) and environmental, social, and governance (ESG) disclosure on green innovation (GI) within Romanian small and medium‐sized industrial enterprises. In light of growing regulatory requirements and the transformation toward a sustainable economy, the study ...
Melinda Timea Fülöp +1 more
wiley +1 more source
Can AI write your code? A case study of chatgpt's statistical coding capabilities for quantitative research. [PDF]
Winberg D +5 more
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
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
Life satisfaction in later life: the role of health, social support, and social exclusion in Türkiye. [PDF]
Çebi Karaaslan K, Bayar R, Öztürk A.
europepmc +1 more source
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park +5 more
wiley +1 more source
A time-series dataset on sustainable development Goals compliance in Europe. [PDF]
Fernández-Macho J.
europepmc +1 more source
A Novel Text‐Based Framework for Forecasting Carbon Prices
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
Efficiency and Sustainability in Food Supply Chains: A Systematic Analysis. [PDF]
Fikire AH, Korchagina EV.
europepmc +1 more source

