Strategic customer behavior in revenue management systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04274644%3A_____%2F23%3A%230001045" target="_blank" >RIV/04274644:_____/23:#0001045 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31140/23:00059292
Result on the web
<a href="https://dokumenty.vsb.cz/docs/files/cs/e1c37442-9c5c-460d-b296-cefb7ecce285" target="_blank" >https://dokumenty.vsb.cz/docs/files/cs/e1c37442-9c5c-460d-b296-cefb7ecce285</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.31490/9788024846873" target="_blank" >10.31490/9788024846873</a>

Result language
angličtina
Original language name
Strategic customer behavior in revenue management systems
Original language description
Revenue management is the art and science of predicting customer demand in real time and optimizing the price and availability of products according to demand. What is new in revenue management is not the demand management decisions themselves, but rather the way in which these decisions are made. The real innovation in revenue management lies in the way decisions and information systems are made. Revenue management systems collect information and make decisions based on it, using modelling of ongoing processes. A significant opportunity is in modelling approaches. Conventional modelling approaches assume that customers are passive and not involved in any decision-making processes. This simplification is often unrealistic for many practical problems. In response, there has been interest in incorporating strategic customer behavior in recent years. This paper presents network management models with consumer demand for multiple products and intertemporal substitutions. The models are based on linear programming approximations with Data Envelopment Analysis methods.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 15th International Conference on Strategic Management and its Support by Information Systems 2023
ISBN
9788024846873
ISSN
2570-5776
e-ISSN
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Number of pages
9
Pages from-to
52-60
Publisher name
VSB-Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
May 22, 2023
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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