Number of Automated Teller Machines in Selected European Countries: Exploration of Trends and Development Indicators Impacts

  • Anita Pavković
  • Ksenija Dumičić
  • Berislav Žmuk
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

The main aim of the paper is to discover and compare variability and trends in the number of Automated Teller Machines (ATMs) over time in the recent history in the European Union member states, as well as to enlighten the influence of selected development indicators, which could explain the change in the No. of ATMs as the dependent variable in the regression model. The main variable under study is defined as the “No. of Automated Teller Machines—ATMs per 100,000 adults” (No. of ATMs). Using the regression modelling in analysing the impact of selected development indicators on the dependent variable No. of ATMs for the 28 EU countries in 2014, two OLS estimated multiple liner regression models, each with three independent variables, were built. Firstly, the economic development level indicator “GDP per capita, given as the PPP in current international $”, secondly, the ICT development level indicator the “No. of Internet users per 100 people”; and, finally, selected “digital banking development indicators”, are used as the regressors. The multiple regression models are analysed, showing that most of the independent variables are positively correlated with the “No. of ATMs”, with the exception of the “No. of Internet users per 100 people”. The conducted panel analysis revealed that the impact of selected independent variables on the No. of ATMs is quite similar to the impact observed in previously developed regression models.

Keywords

Automated teller machines (ATM) Payment and terminal transactions GDP per capita Internet penetration rate Multiple linear regression modelling 

Notes

Acknowledgements

This work has been in part supported by the Croatian Science Foundation under the project STatistical Modelling for REspoNse to Crisis and Economic GrowTH in WeStern Balkan Countries—STRENGTHS (project no. IP-2013-9402).

References

  1. Abdul Mumin Y, Ustarz Y, Yakubu I (2014) Automated teller machine (ATM) operation features and usage in ghana: implications for managerial decisions. J Bus Adm Educ 5(2):137–157Google Scholar
  2. Ali PI, Kalu OE (2016) Impact of automated teller machine on banking services delivery in Nigeria: a stakeholder analysis. Cadernos de Educação, Tecnologia e Sociedade 9(1):64–72Google Scholar
  3. Al-Zahrani AA, Almazari AA (2015) The impact of e-banking on employees job security an empirical study on Saudi national banks. Int J Econ Commer Manag 3(3):1–15Google Scholar
  4. Banker RD, Kauffman RJ (1988) Strategic contributions of information technology: an empirical study of ATM networks. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1037&context=icis1988. Accessed 12 Oct 2016
  5. Bilginol K, Hakan Denli H, Zafer Seker D (2015) Ordinary least squares regression method approach for site selection of Automated Teller Machines (ATMs). Procedia Environ Sci 26:66–69CrossRefGoogle Scholar
  6. European Central Bank (2013) Regulation (EU) no. 1409/2013 on payments statistics (ECB/2013/43). http://eur-lex.europa.eu/legal-content/en/TXT/?uri=CELEX%3A32013R1409. Accessed 21 July 2016
  7. Investopedia (2016) Automated Teller Machine (ATM). http://www.investopedia.com/terms/a/atm.asp#ixzz4l7MtmTa6. Accessed 28 July 2016
  8. Koch, TW, MacDonald SS (2014) Bank management. Cengage learningGoogle Scholar
  9. Mwatsika C (2016) Impact of ATM banking performance on customer satisfaction with the bank in Malawi. Int J Bus Econ Res 5(1):1–9CrossRefGoogle Scholar
  10. Olusanya AI, Fadiya SO (2015) An empirical study of automated teller machine service quality on customer satisfaction (A case study of United Bank of Africa [UBA]). Int J Sci Res Inf Syst Eng 1(1):61–68Google Scholar
  11. Onywoki BM, Opiyo ET (2016) A framework for the adoption of biometric ATM authentication in the Kenyan banks. https://arxiv.org/ftp/arxiv/papers/1602/1602.04620.pdf. Accessed 12 Oct 2016
  12. Phan CA, Nham PT (2015) Impact of service quality on customer satisfaction of automated teller machine service: case study of a private commercial joint stock bank in Vietnam. Bus Theory Pract 16(3):280–289Google Scholar
  13. Statistical Data Warehouse (2016a) Payment and terminal transactions involving non-MFIs, number of transactions for cards issued by resident PSPs, cards with a debit function, in millions of Euro. http://sdw.ecb.europa.eu/browseTable.do?PSS_INSTRUMENT=I12&node=bbn1440&DATASET=0&advFil=y. Accessed 20 July 2016
  14. Statistical Data Warehouse (2016b) Payment and terminal transactions involving non-MFIs, Value of transactions per type of payment service, For cards issued by resident PSPs, cards with a debit function, in millions of Euro. http://sdw.ecb.europa.eu/browseTable.do?PSS_INSTRUMENT=I12&node=bbn1446&DATASET=0&advFil=y. Accessed 20 July 2016
  15. Wijesekara YT, Kandambi GPH (2015) The factors affecting to the customer attitudes towards atm usage in Anuradhapura District, Sri Lanka, International Research Symposium, Rajarata University of Sri Lanka. http://repository.rjt.ac.lk/jspui/bitstream/7013/2855/1/542-551.pdf. Accessed 12 Oct 2016
  16. World Bank (2016a) GDP per capita, PPP (current international $). http://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD. Accessed 20 July 2016
  17. World Bank (2016b) Internet users (per 100 people) Penetration rate. http://data.worldbank.org/indicator/IT.NET.USER.P2. Accessed 20 July 2016
  18. World Bank (2016c) No. of Automated Teller Machines (ATMs) (per 100,000 adults). http://data.worldbank.org/indicator/FB.ATM.TOTL.P5. Accessed 20 July 2016
  19. Worthington AC (2007) Personal bank account access and awareness: an analysis of the technological and informational constraints of Australian consumers. Int J Consum Stud 31(5):443–452CrossRefGoogle Scholar
  20. Youngo H (2013) Top 10 trends in the digital banking industry. http://www.banking.com/2013/12/18/top-trends-in-digital-banking/#.V6rfI49OJ3Q. Accessed 10 Oct 2017
  21. Županović I, Hell M, Pavlić D (2015) Cost-benefit analysis of the ATM automatic deposit service. Croatian Oper Res Rev 6(1):255–268CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Anita Pavković
    • 1
  • Ksenija Dumičić
    • 2
  • Berislav Žmuk
    • 2
  1. 1.Department of Finance, Faculty of Economics and BusinessUniversity of ZagrebZagrebCroatia
  2. 2.Department of Statistics, Faculty of Economics and BusinessUniversity of ZagrebZagrebCroatia

Personalised recommendations