IDEAS home Printed from https://ideas.repec.org/a/vrs/econom/v11y2023i1p233-249n2.html
   My bibliography  Save this article

Assessment of the efficiency of use of EPS by business

Author

Listed:
  • Volvach Olena

    (Taras Shevchenko National University of Kyiv, Kyiv, Ukraine)

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.

Suggested Citation

  • Volvach Olena, 2023. "Assessment of the efficiency of use of EPS by business," Economics, Sciendo, vol. 11(1), pages 233-249, June.
  • Handle: RePEc:vrs:econom:v:11:y:2023:i:1:p:233-249:n:2
    DOI: 10.2478/eoik-2023-0003
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/eoik-2023-0003
    Download Restriction: no

    File URL: https://libkey.io/10.2478/eoik-2023-0003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Emrah Oney & Gizem Oksuzoglu Guven & Wajid Hussain Rizvi, 2017. "The determinants of electronic payment systems usage from consumers’ perspective," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 30(1), pages 394-415, January.
    2. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xuechao Sui & Xianhui Geng, 2021. "Continuous usage intention to e-transaction cards in wholesale markets of agriproducts: empirical evidence from China," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    2. Imdadullah Hidayat-ur-Rehman & Saeed Alzahrani & Mohd Ziaur Rehman & Fahim Akhter, 2022. "Determining the factors of m-wallets adoption. A twofold SEM-ANN approach," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-24, January.
    3. Gang Kou & Özlem Olgu Akdeniz & Hasan Dinçer & Serhat Yüksel, 2021. "Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    4. Nenad Tomić & Zoran Kalinić & Violeta Todorović, 2023. "Using the UTAUT model to analyze user intention to accept electronic payment systems in Serbia," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(2), pages 251-270, May.
    5. Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & Sebastián Molinillo & Elena Higueras-Castillo, 2022. "Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    6. Al-Okaily, Manaf & Lutfi, Abdalwali & Alsaad, Abdallah & Taamneh, Abdallah & Alsyouf, Adi, 2020. "The Determinants of Digital Payment Systems’ Acceptance under Cultural Orientation Differences: The Case of Uncertainty Avoidance," Technology in Society, Elsevier, vol. 63(C).
    7. de Luna, Iviane Ramos & Liébana-Cabanillas, Francisco & Sánchez-Fernández, Juan & Muñoz-Leiva, Francisco, 2019. "Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 931-944.
    8. Francisco Liébana-Cabanillas & Inmaculada García-Maroto & Francisco Muñoz-Leiva & Iviane Ramos-de-Luna, 2020. "Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay," Sustainability, MDPI, vol. 12(13), pages 1-15, July.
    9. Bölen, Mehmet Cem, 2020. "Exploring the determinants of users’ continuance intention in smartwatches," Technology in Society, Elsevier, vol. 60(C).
    10. Zhunzhun Liu & Shenglin Ben & Ruidong Zhang, 2019. "Factors affecting consumers’ mobile payment behavior: a meta-analysis," Electronic Commerce Research, Springer, vol. 19(3), pages 575-601, September.
    11. Hassanudin Mohd Thas Thaker & Niviethan Rao Subramaniam & Abdul Qoyum & Hafezali Iqbal Hussain, 2023. "Cashless society, e‐wallets and continuous adoption," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3349-3369, July.
    12. Ajimon George & Prajod Sunny, 2021. "Developing a Research Model for Mobile Wallet Adoption and Usage," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 82-98, January.
    13. Liébana-Cabanillas, Francisco & Japutra, Arnold & Molinillo, Sebastián & Singh, Nidhi & Sinha, Neena, 2020. "Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India," Telecommunications Policy, Elsevier, vol. 44(9).
    14. Wang, Juite & Lai, Jung-Yu, 2020. "Exploring innovation diffusion of two-sided mobile payment platforms: A system dynamics approach," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    15. Yong Liu & Meng Wang & Danyu Huang & Qiang Huang & Hua Yang & Zhigang Li, 2019. "The impact of mobility, risk, and cost on the users’ intention to adopt mobile payments," Information Systems and e-Business Management, Springer, vol. 17(2), pages 319-342, December.
    16. Danilo Magno Marchiori & Silvio Popadiuk & Emerson Wagner Mainardes & Ricardo Gouveia Rodrigues, 2021. "Innovativeness: a bibliometric vision of the conceptual and intellectual structures and the past and future research directions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 55-92, January.
    17. Kalinic, Zoran & Marinkovic, Veljko & Molinillo, Sebastián & Liébana-Cabanillas, Francisco, 2019. "A multi-analytical approach to peer-to-peer mobile payment acceptance prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 143-153.

    More about this item

    Keywords

    electronic payment systems; efficiency; optimization; evaluation; implementation;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:econom:v:11:y:2023:i:1:p:233-249:n:2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.