Tourism has become one of the largest and fastestgrowing industries globally, with accommodation playing a central role in shaping the traveler experience. In this study, we explore a classification system for optimizing accommodation offers using a combination of advanced data processing...

Global financial markets frequently experience extreme volatility, which poses significant challenges in forecasting stock returns, particularly following market crashes. Traditional models often falter under these conditions due to heightened investor sentiment and strong regulatory...

The European Union's goal of carbon neutrality by 2050 requires a major reduction in natural gas use for residential heating. However, gas grid equipment, amortized over 45 years in most countries, risks becoming stranded assets. The literature suggests that regulatory shocks could justify...

This chapter provides a bibliographic review regarding the adoption of Artificial Intelligence (AI) in accounting and audit education for the years 2014 to 2024. Using 21 peer-reviewed articles from the Dimensions database, the study examines trends in temporal publication activity, thematic...

Amidst the pervasive expansion of global uncertainty, trade and the associated division of labor between Korea and China are undergoing significant structural transformations. To accurately estimate the Korea-China Free Trade Agreement's effect, this study controlled for these various...

The use of Generative AI (GenAI) in recent years has significantly reshaped workflows across multiple industries, enhancing productivity and competitiveness. Enterprises commonly face the strategic decision to either build proprietary GenAI solutions or buy these services from established...

The labor market in the agricultural sector plays a pivotal role in sustaining rural livelihoods and ensuring food security across the Middle East and North Africa (MENA) region. Despite the sector's importance, it faces challenges such as low productivity, seasonal employment, and vulnerability...

Machine learning and Deep learning algorithms in digital forensics play a significant role in crime detection aiding forensic analysis through identifying patterns, trends based on data. Audio and Video data serve as a great electronic evidence in digital forensics for investigation purpose. In...

We specify the domain in the income distribution that includes the people to whom income transfers will not increase inequality in that income distribution. Inspired by Sen’s (1973, 1997) characterization of the Gini coefficient as a ratio between a measure of aggregate income-based...

We specify the domain in the income distribution that includes the people to whom income transfers will not increase inequality in that income distribution. Inspired by Sen's (1973, 1997) characterization of the Gini coefficient as a ratio between a measure of aggregate income-based "depression"...