Strategic customer behavior in revenue management systems

@inproceedings{10838,
   author = {Fiala, Petr and Majovská, Renata},
   address = {Ostrava},
   booktitle = {Proceedings of the 15th International Conference on Strategic Management and its Support by Information Systems 2023},
   doi = {http://dx.doi.org/10.31490/9788024846873},
   edition = {1st ed.},
   editor = {Nemec R., Chytilova L.},
   keywords = {revenue management systems; strategic customer; modeling; discrete choice; substitution},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Ostrava},
   isbn = {978-80-248-4687-3},
   pages = {52-60},
   publisher = {VSB-Technical University of Ostrava},
   title = {Strategic customer behavior in revenue management systems},
   url = {https://dokumenty.vsb.cz/docs/files/cs/e1c37442-9c5c-460d-b296-cefb7ecce285},
   year = {2023}
}

TY  - JOUR
ID  - 10838
AU  - Fiala, Petr - Majovská, Renata
PY  - 2023
TI  - Strategic customer behavior in revenue management systems
PB  - VSB-Technical University of Ostrava
CY  - Ostrava
SN  - 9788024846873
KW  - revenue management systems
KW  - strategic customer
KW  - modeling
KW  - discrete choice
KW  - substitution
UR  - https://dokumenty.vsb.cz/docs/files/cs/e1c37442-9c5c-460d-b296-cefb7ecce285
N2  - 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.
ER  - 

FIALA, Petr a Renata MAJOVSKÁ. Strategic customer behavior in revenue management systems. Online. In Nemec R., Chytilova L. \textit{Proceedings of the 15th International Conference on Strategic Management and its Support by Information Systems 2023}. 1st ed. Ostrava: VSB-Technical University of Ostrava, 2023, s.~52-60. ISBN~978-80-248-4687-3. Dostupné z: https://dx.doi.org/10.31490/9788024846873.