The Effect of Location on the Distribution of Withdrawals from Selected ATMs of the "Euronet" Network

• Autorzy: Henryk Gurgul , Marcin Suder
• Języki publikacji: EN

Abstrakty

EN

Information about the distribution of withdrawals is very essential for ATM networks. It supports optimization of the replenishment process for ATMs. The conducted research showed that the daily distribution of withdrawals was similar among the examined ATMs owned by the Euronet company. Location was the main factor in determining empirical distribution on the same days of the week. Logistic distribution fit best to withdrawals from ATMs located in shopping centers, bank branches, shops, and supermarkets. In addition, uniform distribution was found to be the best alternative for withdrawals from ATMs operating at petrol stations. (original abstract)

Słowa kluczowe

EN

Cash machine; Distribution logistics; Optimalization

PL

Bankomaty; Logistyka dystrybucji; Optymalizacja

• Czasopismo: Managerial Economics
• Rocznik: 2014
• Tom: 15
• Numer: nr 1
• Strony: 43--62

Twórcy

autor

Henryk Gurgul

• AGH University of Science and Technology Kraków, Poland

autor

Marcin Suder

• AGH University of Science and Technology Kraków, Poland

Bibliografia

• Adams, A.S. and Thiehen, K.A. (1991) 'Automatic teller machines and the older population', Applied Ergonomics, vol. 22, pp. 85-90.
• Amromin, E. and Chakravorti, S. (2007), 'Debit card and cash usage: a cross-country analysis', Technical report, Federal Reserve Bank of Chicago.
• Boeschoten, W.C. (1998) 'Cash tnanagetnent, payment patterns and the detnand for money', De Economist, vol. 146, pp. 117-142.
• Brentnall, A.R., Crowder, M.J. and Hand, D.J. (2008) 'A statistical model for the temporal pattern of individual automated teller machine withdrawals', Applied Statistics, vol. 57(1), pp. 43-59.
• Brentnall, A.R., Crowder, M.J. and Hand, D.J. (2010) 'Predicting the amount individuals withdraw at cash machines using a random effects multinomial model', Statistical Modelling, vol. 10(2), pp. 197-214.
• Cleveland, W.S. and Devlin S.J. (1980) 'Calendar Effects in Monthly Time Series: Detection by Spectrum Analysis and Graphical Methods', Journal of the American Statistical Association, vol. 371(75), pp. 487-496.
• Findley, D.F. and Monsell, B.C. (2009) 'Modeling Stock Trading Day Effects Under Flow Day-of-Week Effect Constraints', Journal of Official Statistics, vol. 25(3), pp. 415-430.
• Findley, D.F., Monsell, B.C, Bell, W.R, Otto, M.C. and Chen, B.C. (1998) 'New capabilities and Methods of the X-12-ARIMA seasonal adjustment program', Journal of Business and Economic Statistics, vol. 16(2), pp. 127-177.
• Findley D.F. and Soukup R.J. (1999) 'On the Spectrum Diagnostics Used by X-12-ARIMA to Indicate the Presence of Trading Day Effects affer Modeling or Adjustment', Proceedings of the American Statistical Association, Business and Statistics Section, Alexandria: American Statistical association.
• Findley, D.F. and Soukup, R.J. (2000) 'Modeling and Model Selection for Moving Holidays', Proceedings of the American Statistical Association, Business and Statistics Section, Alexandria: American Statistical association.
• Findley, D.F. and Soukup, R.J. (2001) 'Detection and Modeling of Trading Day Effects', CES II: Proceedings of the Second International Conference on Economic Surveys, pp. 743-753.
• Gill, J.M. (1996), 'Making cash dispensers easier to use', http://www.tiresias.org/research/reports/mcdeu.htm (accessed 8 April 2005).
• Gurgul, G. and Suder, M. (2012) 'Efekt kalendarza wypłat z bankomatów sieci Euronet', Zeszyty Naukowe Wyższej Szkoły Ekonomii i Informatyki w Krakowie, vol. 8. pp. 25-42.
• Gurgul, H. and Suder, M. (2013) 'Modeling of Withdrawals from Selected ATMs of the "Euronet" Network', Managerial Economics, vol. 13, pp. 65-82.
• Hand, D.J. and Blunt, G. (2001) 'Prospecting for gems in credit card data, IMA', Journal of Management Mathematics, vol. 12, pp. 173-200.
• Hatta, K. and Iiyama, Y. (1991) 'Ergonomic study of automatic teller machine operability', International Journal of Human-Computer Interaction, vol. 3, pp. 295-309.
• Johnson, G.I. and Coventry, L. (2001), 'You talking to me? Exploring voice in self-service user interfaces', International Journal of Human-Computer Interaction, vol. 13(2), pp. 161-186.
• Liu, L.M. (1980) 'Analysis of Time Series with Calendar Effects', Management Science, vol. 26, pp. 106-112.
• McElroy, T.S. and Holland, S. (2005) 'A Nonparametric Test for Assessing Spectral Peaks', Research Report 2005-10, Statistical Research Division, U.S. Bureau of the Census, Washington D.C.
• Mester, L. (2009) 'Changes in the use of eleetronic means of payment: 1995-2007', Business Review, vol. 3, pp. 29-37.
• Rogers, W., Gilbert, D.K. and Cabrera, E.F. (1997) 'An analysis of automatic teller machine usage by older adults: A structured interview approach', Applied Ergonomics, vol. 28, pp. 173-180.
• Simutis, R., Dilijonas, D. and Bastina, L. (2008) 'Cash detnand forecasting for ATM using Neural Networks and support vector regression algorithtns', 20th International Conference, EURO Mini Conference, Continuous Optimization and Knowledge-Based Technologies (EurOPT-2008), Selected Papers, Vilnius May 20-23, pp- 416-421.
• Snellman, H. and Viren, M. (2009) 'ATM networks and cash usage', Applied Financial Economics, vol. 19(10), pp. 841-851.
• Thatcher, A., Shaik, F. and Zimmerman, C. (2005) 'Attitudes of semiliterate and Hterate bank account holders to the use of automatic teller machines', International Journal of Industrial Ergonomics, vol. 35(2), pp. 115-130.
• Van der Heiden, G.C. (1990) 'Thirty-something million: Should they be exceptions?', Human Factors, vol. 32(4), pp. 383-396.

Identyfikatory

DOI

10.7494/manage.2014.15.1.43