Multicriteria Models in Revenue Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04274644%3A_____%2F23%3A%230001102" target="_blank" >RIV/04274644:_____/23:#0001102 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31140/23:00060106
Result on the web
<a href="https://mcdm.ue.katowice.pl/index.php?page=publications&year=2023" target="_blank" >https://mcdm.ue.katowice.pl/index.php?page=publications&year=2023</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22367/mcdm.2023.18.02" target="_blank" >10.22367/mcdm.2023.18.02</a>
Alternative languages
Result language
angličtina
Original language name
Multicriteria Models in Revenue Management
Original language description
Revenue Management (RM) is about selling the right product to the right customer at the right time at the right price through the right channel to maximise revenue. The real innovation of RM lies in the way decisions are made. The performance of revenue management approaches can be evaluated against several criteria. Both discrete and continuous multicriteria models can be used to analyse RM. The performance pyramid is a comprehensive, fully integrated per-performance system that captures multiple perspectives such as internal, financial, customer and innovation. The assessment is based on a combination of Analytic Hierarchy Process (AHP), Analytic Network Process (ANP) and Data Envelopment Analysis (DEA) approaches. Customer behavior modeling is gaining increasing attention in the field of rev-enue management. Customer choice models can be extended with more inputs and more outputs. Evaluation of alternatives can be performed using DEA-based evaluation methods. The search for an efficient frontier in a DEA model can be formulated as a multiobjective linear programming problem. We propose to use an Aspiration Level Oriented Procedure (ALOP) to solve the problem.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Multiple Criteria Decision Making
ISSN
2084-1531
e-ISSN
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Volume of the periodical
18
Issue of the periodical within the volume
1
Country of publishing house
PL - POLAND
Number of pages
18
Pages from-to
29-46
UT code for WoS article
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EID of the result in the Scopus database
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