Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ercolino Ranieri"'
Publikováno v:
International Journal of Forecasting
International Journal of Forecasting, 2021, 37 (3), pp.1049-1060. ⟨10.1016/j.ijforecast.2020.11.006⟩
International Journal of Forecasting, Elsevier, 2021, 37 (3), pp.1049-1060. ⟨10.1016/j.ijforecast.2020.11.006⟩
International Journal of Forecasting, 2021, 37 (3), pp.1049-1060. ⟨10.1016/j.ijforecast.2020.11.006⟩
International Journal of Forecasting, Elsevier, 2021, 37 (3), pp.1049-1060. ⟨10.1016/j.ijforecast.2020.11.006⟩
Suppliers of tourist services continuously generate big data on ask prices. We suggest using this information, in the form of a price index, to forecast the occupation rates for virtually any time-space frame, provided that there are a sufficient num
The widespread diffusion of on-line travel agencies has opened the possibility, for hoteliers, to update continously quality and prices offered along the advance booking. We study firms’ pricing behaviour in a business-oriented environment consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::075f08db696a8a2d327c1044b8bc0a0e
http://hdl.handle.net/11585/648008
http://hdl.handle.net/11585/648008
Publikováno v:
International Journal of Hospitality Management. 64:85-93
Is it possible for business customers to effectively adjust their purchasing strategies, as a response to revenue management? We consider daily online best available rates for a panel of 357 hotels in Milan and Rome, up to an advance booking of 29 da
Publikováno v:
International Journal of Contemporary Hospitality Management. 28:2842-2863
Purpose The present study aims to suggest a new approach to hotel quality rating, specifically designed for the business travel segment, where the evaluation of surveyed consumers (business travelers) does not necessarily reflect the priority of cust
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 a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b2611d69cce9b0978d3741b819d2fff
http://hdl.handle.net/11585/651057
http://hdl.handle.net/11585/651057
Corporate travel departments manage travel costs prescribing best buy decisions. With reference to flights, the crucial choice concerns the fare. As the difference in price can be great, it might seem convenient to always purchase the cheapest ticket
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48f3b1eb395f5de9547ef9e96f91c153
http://hdl.handle.net/11585/578943
http://hdl.handle.net/11585/578943