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Challenges for ATM management in times of market variability caused by the COVID-19 pandemic crisi

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  • Marcin Suder

    (AGH University of Science and Technology)

  • Tomasz Wójtowicz

    (AGH University of Science and Technology)

  • Rafał Kusa

    (AGH University of Science and Technology)

  • Henryk Gurgul

    (AGH University of Science and Technology)

Abstract

One of the most important issues related to the management of an Automatic Teller Machine (ATM) network is the correct forecasting of the demand for cash. Typically, this demand, expressed as the value or number of ATM withdrawals, has some regularities that can be used to evaluate future values for these variables. However, forecasting becomes a challenge when a crisis occurs that could affect the behavior of ATM users. In this context, it is important to identify how the development of the crisis and the various information concerning it may affect people’s attitudes to cash. This study aims to examine the impact of the COVID-19 pandemic on the behavior of ATM customers. On the basis of daily data from 81 ATMs, we analyze the changes in the value and number of withdrawals just before and during the COVID-19 pandemic in Poland. An event study analysis allows us to determine precisely the moments in which changes in user behavior took place. This means that it is also possible to examine the reaction of ATM users to the announcement and implementation of the pandemic restrictions, and to determine the factors that had an impact on the change in people’s attitude to cash. Such a study is also important from a sociological point of view, as it enables one to understand people’s reactions to the emerging crisis. Hence, its results may be useful not only for managers of ATM networks, but also for various authorities and policy makers.

Suggested Citation

  • Marcin Suder & Tomasz Wójtowicz & Rafał Kusa & Henryk Gurgul, 2023. "Challenges for ATM management in times of market variability caused by the COVID-19 pandemic crisi," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 445-465, June.
    • Handle: RePEc:spr:cejnor:v:31:y:2023:i:2:d:10.1007_s10100-022-00816-2
    DOI: 10.1007/s10100-022-00816-2
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    References listed on IDEAS

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    1. Suder, Marcin & Gurgul, Henryk & Barbosa, Belem & Machno, Artur & Lach, Łukasz, 2024. "Effectiveness of ATM withdrawal forecasting methods under different market conditions," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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