Assessment of management of downtime for automated teller machines’ network: a case of CRDB Bank PLC

dc.contributor.authorPaul, Goodluck Edgar
dc.date.accessioned2020-04-21T15:29:51Z
dc.date.available2020-04-21T15:29:51Z
dc.date.issued2016
dc.descriptionAvailable in print form, East Africana Collection, Dr. Wilbert Chagula Library, Class mark (THS EAF HG1616.C87T34P38)en_US
dc.description.abstractThis study confined itself to the assessment of Management of Downtime for Automated Teller Machines Network the case of CRDB Bank PLC. It aimed to investigate the effects of Automated Teller Machines (ATM) components on management of ATMs downtime, to determine the effects of ATMs downtime and to determine the effective ways of managing the ATM downtime. Primary and Secondary data from CRDB Bank PLC were used. Descriptive analysis of Variance (ANOVA) and Pareto Distribution analysis were used. The findings revealed that for each year as from 2011 to 2014, Card Reader Fatal contributed more than any other component in ATM downtime followed by Cash Handler and Rej Bin, which were also the largest contributors of loss. The ANOVA brought results with the F value of 4.67, which indicates that the ATM components have different statistical contribution to the ATM downtime p  0.0001. This study concludes that, the CRDB Bank ATMs availability or uptime was high with an average of 90% while downtime was having an approximate mean of about 10%. ATMs availability or uptime were noted to be increasing with time (years) whereas downtime was decreasing with time which implied that bank performance has been improved with increase in time. This study recommends that banks should invest more on how to reduce Card Reader Fatal and Cash Handler problems as these were the highest contributors of ATMs downtime. Having few Card Reader Fatal and Cash Handler problems will ensure customers to have more time to receive cash in ATMs hence more profits to banks.en_US
dc.identifier.citationPaul, G. E.(2016) Assessment of management of downtime for automated teller machines’ network: a case of CRDB Bank PLC, Master dissertation, University of Dar es Salaam, Dar es Salaam.en_US
dc.identifier.urihttp://41.86.178.5:8080/xmlui/handle/123456789/9765
dc.language.isoenen_US
dc.publisherUniversity of Dar es Salaamen_US
dc.subjectAutomated teller machineen_US
dc.subjectBanks and bankingen_US
dc.subjectCustomer servicesen_US
dc.subjectTanzaniaen_US
dc.titleAssessment of management of downtime for automated teller machines’ network: a case of CRDB Bank PLCen_US
dc.typeThesisen_US

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