Association rule mining is a widely used data mining technique in various domains. It enables the identification of trends, frequent patterns, and relationships among the data. This study introduced a new method for mining association rules independently from multiple data sources. It combined...

Tourism for all, and especially accessible tourism, is a generalized social demand that must be made possible by public authorities and companies in some way linked to the provision of tourist services. International regulations on digital accessibility are advancing so quickly that in just 5...

We analyse the development of labour productivity in five service industries in Europe, the United States, and Japan. Vis-à-vis a group of peer countries, labour productivity in service industries is relatively low in Finland. We further find that the respective gap in capital intensity...

Artificial neural networks (ANNs) are commonly used to solve nonlinear problems. ANNs are composed of parallel interconnected layers that include processing elements called neurons. These neurons use mathematical functions to process the data, mimicking the human brain. In this study, we use...

In this study, we introduce a novel entity matching (EM) framework. It com-bines state-of-the-art EM approaches based on Artificial Neural Networks (ANN) with a new similarity encoding derived from matching techniques that are preva-lent in finance and economics. Our framework is on-par or...

The World Bank Investment Climate Unit, in collaboration with the Global Fiscal Policy and Sustainable Growth Unit, developed a Corporate Income Tax (CIT) Incentives Database to address data gaps and meet emerging needs for more information on the prevalence and role of incentives. The Database...