Detailed Information on Publication Record
2021
Comparison of expected marginal revenue models in the hospitality industry
PETŘÍČEK, Martin, Štěpán CHALUPA and Věra LEVIČKOVÁBasic information
Original name
Comparison of expected marginal revenue models in the hospitality industry
Name (in English)
Comparison of expected marginal revenue models in the hospitality industry
Authors
PETŘÍČEK, Martin, Štěpán CHALUPA and Věra LEVIČKOVÁ
Edition
Journal of Revenue and Pricing Management, Springer, 2021, 1476-6930
Other information
Type of outcome
Článek v odborném periodiku
Confidentiality degree
není předmětem státního či obchodního tajemství
Organization unit
University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
UT WoS
000663977900002
Tags
International impact, Reviewed
Změněno: 2/7/2021 07:27, doc. Ing. Martin Petříček, Ph.D.
V originále
This paper focuses on the issue of revenue management models that are based on Littlewood's rule. The main aim of this paper is to compare the Expected Marginal Seat Revenue model in the two variants: EMSRa and EMSRb model. The whole application is made in the hospdels that are based on Littlewood's rule. The main aim of this paper is to compare the Expected Marginal Seat Revenue model in the two variants: EMSRa and EMSRb model. The whole application is made in the hospitality industry and is based on historical data provided by the accommodation facility. The main results show, that there are only a few differences between EMSRa and EMSRb models. Nevertheless, the EMSRb model can be more robust for the facilities with a higher variety of the clients (measured by the standard deviation).
In English
This paper focuses on the issue of revenue management models that are based on Littlewood's rule. The main aim of this paper is to compare the Expected Marginal Seat Revenue model in the two variants: EMSRa and EMSRb model. The whole application is made in the hospdels that are based on Littlewood's rule. The main aim of this paper is to compare the Expected Marginal Seat Revenue model in the two variants: EMSRa and EMSRb model. The whole application is made in the hospitality industry and is based on historical data provided by the accommodation facility. The main results show, that there are only a few differences between EMSRa and EMSRb models. Nevertheless, the EMSRb model can be more robust for the facilities with a higher variety of the clients (measured by the standard deviation).