<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As the world became more digitalized thanks to the Internet, it led to the creation of Electronic Payment Systems that are now used to seeing all over the world, but there is a need for estimation the return on development and implementation of EPSs. The research goal is to develop an approach based on optimization modeling for the assessment of the efficiency of implementation and the use of electronic payment systems by Ukrainian and international businesses for their day-by-day operations. The article also analyzed different classifications of EPS and determined several types of methodology for the evaluation of the effectiveness of the EPS (absolute and relative to business results and costs). Using the optimization model and system analysis, the authors proposed the algorithm for the estimation of profit from EPS implementation (both separate EPS or portfolio of EPSs) and make an experiment for one of the EPS for the period of 2023-2026. The optimization model includes revenue from EPS, as well as salary, rent, and infrastructure costs, which helps to improve the results of EPS implementation by adapting of transaction’s tariff. Authors also described the process of solving optimization task for determining effective tariff per 1 transaction, taking into account marketing information.</p>
</abstract>

As the world became more digitalized thanks to the Internet, it led to the creation of Electronic Payment Systems that are now used to seeing all over the world, but there is a need for estimation the return on development and implementation of EPSs. The research goal is to develop an approach based on optimization modeling for the assessment of the efficiency of implementation and the use of electronic payment systems by Ukrainian and international businesses for their day-by-day operations. The article also analyzed different classifications of EPS and determined several types of methodology for the evaluation of the effectiveness of the EPS (absolute and relative to business results and costs). Using the optimization model and system analysis, the authors proposed the algorithm for the estimation of profit from EPS implementation (both separate EPS or portfolio of EPSs) and make an experiment for one of the EPS for the period of 2023-2026. The optimization model includes revenue from EPS, as well as salary, rent, and infrastructure costs, which helps to improve the results of EPS implementation by adapting of transaction’s tariff. Authors also described the process of solving optimization task for determining effective tariff per 1 transaction, taking into account marketing information.

Assessment of the efficiency of use of EPS by business

Taras Shevchenko National University of Kyiv

ECONOMICS

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Assessment of the efficiency of use of EPS by business"}

As the world became more digitalized thanks to the Internet, it led to the creation of Electronic Payment Systems that are now used to seeing all over the...

Assessment of the efficiency of use of EPS by business

Pubblicato online: 10 apr 2023

Pagine: 233 - 249

Ricevuto: 30 gen 2023

Accettato: 11 mag 2023

DOI: https://doi.org/10.2478/eoik-2023-0003

Parole chiave
electronic payment systems, efficiency, optimization, evaluation, implementation

© 2023 Olena Volvach, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Assessment of the efficiency of use of EPS by business

Pubblicato online: 10 apr 2023

Pagine: 233 - 249

Ricevuto: 30 gen 2023

Accettato: 11 mag 2023

DOI: https://doi.org/10.2478/eoik-2023-0003

Parole chiaveelectronic payment systems, efficiency, optimization, evaluation, implementation

© 2023 Olena Volvach, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
electronic payment systems, efficiency, optimization, evaluation, implementation