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Estimating Mobile Contactless Payment Systems Usage in Turkey Using Grey Prediction Model

Halil ŞEN1
1a:1:{s:5:"en_US";s:35:"Burdur Mehmet Akif Ersoy University";}
Published:March 28, 2023

Abstract

Technological developments brought about by digitalization have made several innovations in many areas from economy to social life a part of our lives. The most important of these innovations was the electronicization of trade. Electronic commerce forced payment systems to change and differentiated them. The rapid development of the technology of mobile devices and the rapid spread of use also shaped the change in payment systems. Today we are talking about mobile payment systems. The change in payment systems also caused changes in physical credit cards, and contactless payment systems with credit cards became widespread. Mobile contactless payment systems have also started to be used through applications downloaded to mobile devices without the need for a physical credit card. After the convenience of contactless payment with credit card, many banks started to offer their customers the convenience of contactless payment by mobile phone.

In this study, the demand for the use of mobile contactless payment systems in Turkey was estimated using the grey prediction model for the coming years. In determining demand forecast, the grey prediction model, which is included in the grey system theory, which was first presented by Deng in 1982, was used. It is a model that is used to make high-precision predictions based on a small number of data and has achieved successful results in many areas. In this study, some of the data were used for estimation and some for analysis of estimation results. In this study, high sharpness results were obtained.

Keywords
Grey system theorygrey prediction modelmobile contactless payment systems

References

  1. 1.EUROPEAN COMMISSION. (2012, January 11). GREEN PAPER Towards an integrated European market for card, internet and mobile payments . https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52011DC0941&from=ENLink
  2. 2.Kutsal, S. (2018). Dünden bugüne dijital ödeme sistemlerinin evrimi - Digital Age. https://digitalage.com.tr/dunden-bugune-dijital-odeme-sistemlerinin-evrimi/Link
  3. 3.BOZPOLAT, C., & SEYHAN, H. (2020). Mobil Ödeme Teknolojisi Kabulünün Teknoloji Kabul Modeli ile İncelenmesi: Ampirik Bir Araştırma. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(1), 119–145. https://doi.org/10.18074/CKUIIBFD.619852DOI
  4. 4.Ju-Long, D. (1982). Control problems of grey systems. Systems and Control Letters, 1(5), 288–294. https://doi.org/10.1016/S0167-6911(82)80025-XDOI
  5. 5.Liu, S., & Lin, Y. (2006). Grey Information : Theory and Practical Applications. In Grey Information. Springer London. https://doi.org/10.1007/1-84628-342-6DOI
  6. 6.Hsu, L. C. (2003). Applying the Grey prediction model to the global integrated circuit industry. Technological Forecasting and Social Change, 70(6), 563–574. https://doi.org/10.1016/S0040-1625(02)00195-6DOI
  7. 7.Lin, C. T., & Yang, S. Y. (2003). Forecast of the output value of Taiwan’s opto-electronics industry using the Grey forecasting model. Technological Forecasting and Social Change, 70(2), 177–186. https://doi.org/10.1016/S0040-1625(01)00191-3DOI
  8. 8.Lin, C. T., & Yang, S. Y. (2004). Forecast of the output value of Taiwan’s IC industry using the Grey forecasting model. International Journal of Computer Applications in Technology, 19(1), 23–27. https://doi.org/10.1504/IJCAT.2004.003657DOI
  9. 9.Trivedi, H. V., & Singh, J. K. (2005). Application of grey system theory in the development of a runoff prediction model. Biosystems Engineering, 92(4), 521–526. https://doi.org/10.1016/J.BIOSYSTEMSENG.2005.09.005DOI
  10. 10.Lee, Y. S., & Tong, L. I. (2011). Forecasting energy consumption using a grey model improved by incorporating genetic programming. Energy Conversion and Management, 52(1), 147–152. https://doi.org/10.1016/J.ENCONMAN.2010.06.053DOI
  11. 11.Mohammadi, A., Moradi, L., Talebnejad, A., & Nadaf, A. (2011). The use of Grey System Theory in predicting the road traffic accident in Fars province in Iran. Australian Journal of Business and Management Research, 1(9).
  12. 12.Mao, Z. L., & Sun, J. H. (2011). Application of Grey-Markov Model in Forecasting Fire Accidents. Procedia Engineering, 11, 314–318. https://doi.org/10.1016/J.PROENG.2011.04.663DOI
  13. 13.Zhao, Z., Wang, J., Zhao, J., & Su, Z. (2012). Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China. Omega, 40(5), 525–532. https://doi.org/10.1016/J.OMEGA.2011.10.003DOI
  14. 14.Zhang, Y., Xu, H., & Zheng, Y. (2012). Chinese residents’ cold chain logistics demand forecasting based on GM (1,1) model. African Journal of Business Management, 6(14), 5136–5141. https://doi.org/10.5897/AJBM11.3043DOI
  15. 15.Tsai, M.-T., Hsiao, S.-W., Liang, W.-K., Tsai, M. T., Hsiao, S. W., & Liang, W. K. (2013). Using Grey theory to develop a model for forecasting the demand for telecommunications. https://doi.org/10.1080/02522667.2005.10699664DOI
  16. 16.Shen, X., & Lu, Z. (2014). The Application of Grey Theory Model in the Predication of Jiangsu Province’s Electric Power Demand. AASRI Procedia, 7, 81–87. https://doi.org/10.1016/J.AASRI.2014.05.033DOI
  17. 17.Hamzacebi, C., & Es, H. A. (2014). Forecasting the annual electricity consumption of Turkey using an optimized grey model. Energy, 70, 165–171. https://doi.org/10.1016/J.ENERGY.2014.03.105DOI
  18. 18.Bankalararası Kart Merkezi, Mobil Temassız / Karekodla Yapılan Ödeme İşlemleri https://bkm.com.tr/mobil-temassiz-karekodla-yapilan-odeme-islemleri. Accessed: 2022-09-17Link
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Cite This Article
ŞEN, H. (2023). Estimating Mobile Contactless Payment Systems Usage in Turkey Using Grey Prediction Model. *The European Journal of Research and Development*, 3(1), 86-96. https://doi.org/10.56038/ejrnd.v3i1.226

Bibliographic Info

JournalThe European Journal of Research and Development
Volume3
Issue1
Pages86–96
PublishedMarch 28, 2023
eISSN2822-2296