We develop an innovative framework to study how hoteliers apply inventory control and price discrimination taking into account seasonality. We end up with a time-varying model that, using publicly available information, connects the early booking and last-minute pricing decisions. In doing so, we account for the expected demand size and price elasticity, the inventory put on sales, and the last-minute demand shocks. An analysis focused on 100 hotels in Milan (Italy) shows that during the Covid-19 last-minute discounts/surcharges remain stable over long periods while the role of advance booking as a lever for revenue management is reduced. Moreover, the pandemic has increased the last-minute adjustment at the short advance booking, especially for midweek days.
Guizzardi, A., Ballestra, L.V., D'Innocenzo, E. (2022). Hotel dynamic pricing, stochastic demand and covid-19. ANNALS OF TOURISM RESEARCH, 97(November), 1-15 [10.1016/j.annals.2022.103495].
Hotel dynamic pricing, stochastic demand and covid-19
Guizzardi, Andrea
;Ballestra, Luca Vincenzo;D'Innocenzo, Enzo
2022
Abstract
We develop an innovative framework to study how hoteliers apply inventory control and price discrimination taking into account seasonality. We end up with a time-varying model that, using publicly available information, connects the early booking and last-minute pricing decisions. In doing so, we account for the expected demand size and price elasticity, the inventory put on sales, and the last-minute demand shocks. An analysis focused on 100 hotels in Milan (Italy) shows that during the Covid-19 last-minute discounts/surcharges remain stable over long periods while the role of advance booking as a lever for revenue management is reduced. Moreover, the pandemic has increased the last-minute adjustment at the short advance booking, especially for midweek days.File | Dimensione | Formato | |
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MainPaper - RefCovid_Rev2a.pdf
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