The implementation of energy communities represents a cross-disciplinary phenomenon
that has the potential to support the energy transition while fostering citizens' participation …

Understanding the growth paths of artificial intelligence (AI) and its impact on branding is
extremely pertinent of technology-driven marketing. This explorative research covers a …

Abstract The coronavirus disease (COVID-19) pandemic has already caused enormous
damage to the global economy and various industries worldwide, especially the tourism …

This study proposes a novel data-driven crude oil price prediction methodology using
Google Trends and online media text mining. Convolutional neural network (CNN) is used to …

Concerns about climate change and its potential economic impact have prompted
policymakers and institutions to introduce standards and principles to encourage the …

The carbon market relies on market-oriented financial means to solve the problem of carbon
emissions. An effective carbon pricing mechanism can improve market efficiency and better …

In recent years, with the verification of the carbon market's effectiveness in conserving
energy and mitigating emissions, accurate carbon price prediction has attracted the interest …

This study explores the role of external audiences in determining the importance of family
firm brands and the relationship with firm performance. Drawing on text mining and social …

This paper explores the association between brand importance and growth in museum
visitors. We analyzed 10 years of online forum discussions and applied the Semantic Brand …

Leveraging the power of big data represents an opportunity for brand managers to reveal
patterns and trends in consumer perceptions, while monitoring positive or negative …