Evidence map›Paper›PMID 36406152›Full record

ArticleCentral European journal of operations research2023

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

Marcin Suder, Tomasz Wójtowicz, Rafał Kusa, Henryk Gurgul

Abstract read
In one paragraph

Article in Central European journal of operations research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Marcin SuderFaculty of Management, AGH University of Science and Technology, ul. Gramatyka 10, 30-067 Krakow, Poland.ORCID 0000-0001-6279-7359
Tomasz WójtowiczFaculty of Management, AGH University of Science and Technology, ul. Gramatyka 10, 30-067 Krakow, Poland.ORCID 0000-0002-9742-3493
Rafał KusaFaculty of Management, AGH University of Science and Technology, ul. Gramatyka 10, 30-067 Krakow, Poland.ORCID 0000-0002-9819-897X
Henryk GurgulFaculty of Management, AGH University of Science and Technology, ul. Gramatyka 10, 30-067 Krakow, Poland.ORCID 0000-0002-6192-2995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Automatic teller machine (ATM)COVID-19Crisis managementEvent study analysis

Identifiers

PMID36406152
PMCPMC9648898

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.