2024
Application of revenue management practices in short-term rental management
CHALUPA, Štěpán a Martin PETŘÍČEKZákladní údaje
Originální název
Application of revenue management practices in short-term rental management
Název anglicky
Application of revenue management practices in short-term rental management
Autoři
CHALUPA, Štěpán a Martin PETŘÍČEK
Vydání
Journal of Revenue and Pricing Management, Palgrave Macmillan, 2024, 1476-6930
Další údaje
Typ výsledku
Článek v odborném periodiku
Utajení
není předmětem státního či obchodního tajemství
Organizační jednotka
University College Prague – Vysoká škola mezinárodních vztahů a Vysoká škola hotelová a ekonomická s.r.o.
Klíčová slova anglicky
Revenue management implementation; Short-term rentals; MERMI model; Evaluation of revenue management practices
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 26. 11. 2024 08:27, doc. Ing. Martin Petříček, Ph.D.
V originále
Short-term rentals are continuously developing and impacting the hospitality industry. In some cases, we can identify synergies; in others, we can identify direct competition or substitution of standard accommodation services. The paper aims to investigate the level of application of revenue management principles in short-term rental operations based on the MERMI model applied previously in the hospitality industry. The result shows that the hosts are strongly influenced by the competition, where the proper understanding of historical data and customer behaviour is not considered. The host focusses on pricing, and capacity management plays a significant role only for the multi-property hosts.
Anglicky
Short-term rentals are continuously developing and impacting the hospitality industry. In some cases, we can identify synergies; in others, we can identify direct competition or substitution of standard accommodation services. The paper aims to investigate the level of application of revenue management principles in short-term rental operations based on the MERMI model applied previously in the hospitality industry. The result shows that the hosts are strongly influenced by the competition, where the proper understanding of historical data and customer behaviour is not considered. The host focusses on pricing, and capacity management plays a significant role only for the multi-property hosts.