OPTIMIZATION OF ANALYSIS PROCESS OF E-MONEY PAYMENTS EFFICIENCY

Oleksandr Melnychenko

Abstract


This article is devoted to the study and justification of the choice of multiplicative method of forming integral (total) amount of time of customer service to determine the bandwidth of cash desks as more efficient and easy to use, based on the formation of multiplicative assessment function and advantages compared to the additive method. Methods of assessment of construction function – integral index of cash desks bandwidth while using electronic money as means of payment between the customer and the seller of the goods are grounded using specific approaches in analyzing the effectiveness of the electronic money settlement.

Using the toolkit based on the determination of the average value of a particular index in a common set of values for its parameters standardization and mathematical approach to the formation of valuation functions – integral index, which is based on the multiplier approach and the principle of "inversion" of the denominator, it becomes possible to obtain adequate results, which are characterized by clarity of their presentation both graphically and in tabular form.

Keywords


e-money, efficiency, multiplicative and additive method, bandwidth, cash desk

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References


CGAP (2010). Nonbank E-Money Issuers: Regulatory Approaches to Protecting Customer Funds. Retrieved from http://www.cgap.org/sites/default/files/CGAP-Focus-Note-Nonbank-E-Money-Issuers-Regulatory-Approaches-to-Protecting-Customer-Funds-Jul-2010.pdf.

Darroch, J. N., Speed T. P. (1983). Additive and Multiplicative Models and Interaction. The Annals of Statistics, Vol. 11, No. 3., 724-738.

Erlang, A. (1909). The theory of probabilities and telephone conversations. Nyt Tidsskrift for Matematik B, Vol. 20, 33 – 39.

Litvinоv, A. L. (2003). Kоmp’iuternоe mоdelirоvanie v ekоnоmike. Belhоrоd: BelHU.

Melnychenkо, O. V. (2015). Teоriia, metоdоlоhiia ta praktika оbliku, analizu i auditu elektrоnnih hrоshei v bankah. Zhitоmir: ZhDTU.

Melnychenkо, O. (2015). Zastоsuvannya metоdiv teоrii masоvоhо оbslugоvuvannia v ekоnоmichnоmu analizi оperatsii z elektrоnnimi hrоshima. Prоblemi ekоnоmiki, 1, 198-207.

Palm, C. (1943). Intensitätsschwankungen im Fernsprechverkehr, Ericsson Technics, 44.

Samоrоdоv, B. V. (2011). Alternativniy pidhid dо analizu nadiynоsti banku yak etapu upravlinnya finansоvim rоzvitkоm. Innоvatsiyna ekоnоmika : Vseukr. nauk.–virоb. zhurnal, 7(26), 238-240.

Samоrоdоv, B., Trydid, O. & Samоrоdоv, V. (2012). Osоblivоsti matematichnоi оbrоbki danih pri vikоristanni ekspertnih pidhоdiv dlia viznachennya reytinhiv bankiv. Visnik Natsiоnalnоhо banku Ukraini, 1, 18-21.

Steed, A. (2010). The business of e-money. The Daily Telegraph Supplement, 7 September 2010. Retrieved from http://www.envoyservices.com/pressr/business_of_e-money.pdf.

Sztrik, J. (2012). Basic Queueing Theory. University of Debrecen, Faculty of Informatics.

Trydid, O. M., Samorodov, B. V. & Goykhman, M. I. (2014). Identifikatsiya prоblemnih situatsiy v bankivskiy diyalnоsti z urahuvannyam asimetrii danih. Chasоpis ekоnоmichnih refоrm, 3(15), 63-76.


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Copyright (c) 2015 Oleksandr Melnychenko

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ISSN (Print) : 2449-7320

ISSN (Online) : 2449-8726