Strategic customer behavior in revenue management systems
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/61384399:31140/23:00059292
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Strategic customer behavior in revenue management systems
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Strategic customer behavior in revenue management systems
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 15th International Conference on Strategic Management and its Support by Information Systems 2023
ISBN
9788024846873
ISSN
2570-5776
e-ISSN
—
Počet stran výsledku
9
Strana od-do
52-60
Název nakladatele
VSB-Technical University of Ostrava
Místo vydání
Ostrava
Místo konání akce
Ostrava
Datum konání akce
22. 5. 2023
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
—