Yachting tourism is an emerging industry in coastal regions, particularly in the Mediterranean countries. The rising success of yachting tourism induces a significant boom in its relevant business segments. As a type of leisure tourism, yachting tourism plays a big role in an experience economy,...

Tourism satisfaction is one of the most important components in the analysis of tourism behavior as, it not only affects the choice of tourism destination and the consumption of products, but also affects tourist's future decision to return to the same destination. The main objective of this...

Tulcea County is a special tourist area, with a natural and anthropic touristic potential extremely rich and with real development opportunities in this area. An analysis of the touristic activity in the county can be particularly useful, so this work intends to analyze and present the touristic...

This paper presents a model of a dislocated restaurant created based on dislocated hotels in Italy. This paper aims to provide an innovative solution for new initiatives in the food and beverage industry experiencing great losses due to the Covid 19 epidemic. The study uses an existing hotel...

This paper describes a service that allows hotels to reduce their dependency form online travel agencies, such as Booking.com or Expedia. Online travel agencies are extremely helpful to increase the number of new reservations of most hotels, but they seem to be less effective for niche hotels...

In this article, we describe the preliminary results of an ongoing project aiming at increasing the attractiveness of Alpine destinations in Switzerland, by means of a very widespread hotel. We investigate how to design new services for wellness tourism, which target (a) “young elderly”,...

The aim of this paper is to analyze entrepreneurial activity in OECD countries over the period 1999-2012 in order to make a distinction between economies that are more or less entrepreneurial. A combined use of multidimensional and evolutive data analysis methods is used with variables...

Due to their well-known indeterminacies, factor models require identifying assumptions to guarantee unique parameter estimates. For Bayesian estimation, these identifying assumptions are usually implemented by imposing constraints on certain model parameters. This strategy, however, may result...

We study the importance of noncognitive skills in explaining differences in the labor market performance of individuals by means of machine learning techniques. Unlike previous em- pirical approaches centering around the within-sample explanatory power of noncognitive skills our approach focuses...

In this research, we propose the bootstrap procedure as a method for train/test splitting in machine learning algorithms for classification. We show that this resampling method can be a reliable alternative to cross validation and repeated random test/train splitting algorithms. The bootstrap...