An Experimental Approach to Find a Suitable Simulation Method in Business Economics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F16%3A00010368" target="_blank" >RIV/47813059:19520/16:00010368 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3233/KES-150327" target="_blank" >http://dx.doi.org/10.3233/KES-150327</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/KES-150327" target="_blank" >10.3233/KES-150327</a>
Alternative languages
Result language
angličtina
Original language name
An Experimental Approach to Find a Suitable Simulation Method in Business Economics
Original language description
The main goal of this paper is to compare the results of agent-based and Monte Carlo simulation experiments in a business process negotiation between sellers and customers of a simple trading commodity. The motivation of this research is to find a suitable method for predicting key performance indicators of a business. The intention is to develop a software module in the future that may help company management to support their decisions. Microeconomic demand functions were used as a core element in the negotiation. Specifically, the Marshallian demand function and the Cobb-Douglas utility functions are introduced. This paper first presents certain principles of the agent-based and Monte Carlo simulation techniques and of the demand function theory. Second, a conceptual model of a company is presented in terms of a simulation framework. Third, a formalization of demand functions and their implementation in a seller-to-customer negotiation is introduced. Last, we discuss the simulation results in one year of selling commodities. The results obtained show that the agent-based method is more suitable than the Monte Carlo in this domain; in addition, the demand functions could be used to predict the trading results of a company using certain metrics.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Knowledge-Based and Intelligent Engineering Systems
ISSN
1327-2314
e-ISSN
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Volume of the periodical
19
Issue of the periodical within the volume
4
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
8
Pages from-to
269-276
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84956984270