Artikel
Price Sensitivity Measurement: A Yield Management Approach
The purpose of this paper is to investigate and identify the potential revenue losses, at price points determined by price sensitivity measurement, between actual revenue and potential revenue that can be gained, in terms of yield management. A case study was carried out in a 5 star hotel business in Aydın, Turkey. In the study, a questionnaire was conducted to determine price resistance levels, price threshold limits, price sensitivity levels and price perceptions based on the room quality perceptions of the tourists visiting the hotel business. Also, an interview was performed with the accounting manager and the front office manager about the room prices determined. Hotel businesses can determine the optimal price by depending on the quality and value perception of the customers; thus they can use their limited capacity more efficiently so that they can maximize yield. This study showed that the hotel business lost room revenue at all points calculated. The hotel business suffered a potential loss of 35-40% because of the high occupancy rate in July and August. The hotel industry could have room sales revenues much more than the actual room sales revenues, especially if the agency commission expenses can be reduced.
- Sprache
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Englisch
- Erschienen in
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Journal: Istanbul Business Research (IBR) ; ISSN: 2630-5488 ; Volume: 50 ; Year: 2021 ; Issue: 1 ; Pages: 47-76 ; Istanbul: Istanbul University Press
- Klassifikation
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Management
- Thema
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Yield management
Price Sensitivity Measurement
Willingness-to-pay
All Inclusive System
Hotel Management
- Ereignis
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Geistige Schöpfung
- (wer)
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Çolak, Okan
Koşan, Levent
- Ereignis
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Veröffentlichung
- (wer)
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Istanbul University Press
- (wo)
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Istanbul
- (wann)
-
2021
- DOI
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doi:10.26650/ibr.2021.51.0073
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Çolak, Okan
- Koşan, Levent
- Istanbul University Press
Entstanden
- 2021