Competition patterns, spatial and advance booking effects in the accommodation market online
We study the characteristics of dynamic competition online in the accommodation market by exploiting daily best available rates (BAR) provided by online travel agencies, up to 28 days of advance booking. Based on a leader-follower scheme, we detect an underlying network defined by persistent competition relationships along the advance booking. Results indicate that, beside pure leaders and follow [...]Read more »
Advance booking and hotel price variability online: any opportunity for business customers?
With this research we empirically observe the dynamics of prices of goods and leisure services by identifying important variations in the historical series of daily rates; the heterogeneity of such series often exceeds that observed on risk markets for antonomasia. A model to predict such a useful dynamic for travel industry operators was built. With the model, we want to establish a link between [...]Read more »
Best buy: what does it mean in corporate travel?
Starting with the importance of purchasing flights within the best buy policy, this work brings a statistical approach to the outline - a purchase model that intersects the cost of the flight and the type of ticket with the behavior of travellers and the their tendency to make changes in travel. It is thus defined as the "best purchase" that minimizes the expected overall flight cost. ߛ...]Read more »
Rating hotel quality for corporate business travel departments
The continuous investments in Research and Development also result in scientific publications. In this first work we provide a new approach to determine the hotel rating. Authors: Andrea Guizzardi (Department of Statistical Sciences - University of Bologna), Alice Monti (Department of Statistical Sciences - University of Bologna), Ercolino Ranieri (CEO - Xenia S.p.A.) &nb [...]Read more »