Determinants of Automated Teller Machine Usage in Lagos State, Nigeria
Ighomereho Salome (),
Ladipo Patrick () and
Dixon-Ogbechi Bolajoko ()
Additional contact information
Ighomereho Salome: Department of Economics and Business Studies, Redeemer’s University, Ede, Osun State, Nigeria
Ladipo Patrick: Department of Business Administration, University of Lagos, Lagos, Nigeria
Dixon-Ogbechi Bolajoko: Department of Business Administration, University of Lagos, Lagos, Nigeria
Acta Universitatis Sapientiae, Economics and Business, 2018, vol. 6, issue 1, 89-111
Abstract:
Research has shown that ATMs provide an extremely useful service to customers but the machine is characterized by several service quality inadequacies, and at times it can be very frustrating to use. Consequently, this study investigated socio-demographic factors and service quality dimensions as determinants of ATM usage in Lagos State, Nigeria. A questionnaire was used to collect data from bank customers who use ATM and the data were analysed using General Linear Model (GLM) and multiple regression. The results from the analyses reveal that socio-demographic factors, such as age, education, and income, influence ATM usage, while gender and occupation do not influence ATM usage. The study also revealed that all the service quality dimensions identified in the study have a significant positive influence on ATM usage. When the joint effect of socio-demographic factors and service quality dimensions on ATM usage was assessed, it was found that service quality had a greater influence on ATM usage than socio-demographic factors.
Keywords: automated teller machine; socio-demography; service quality; usage; self-service (search for similar items in EconPapers)
JEL-codes: M19 M39 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/auseb-2018-0005 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:auseab:v:6:y:2018:i:1:p:89-111:n:1005
DOI: 10.1515/auseb-2018-0005
Access Statistics for this article
Acta Universitatis Sapientiae, Economics and Business is currently edited by Dávid László
More articles in Acta Universitatis Sapientiae, Economics and Business from Sciendo
Bibliographic data for series maintained by Peter Golla ().