Modeling the Customers Perception towards Point of Sale (POS) Machines in Kogi State, Nigeria

J.O. JIMOH *, A. SALAWU, O. J. OLUWAFEMI and M. ABU-SAEED

School of Preliminary Studies, Science Department, Kogi State Polytechnic, Lokoja, Nigeria.
 
Research Article
International Journal of Science and Research Archive, 2023, 09(01), 725–732.
Article DOI: 10.30574/ijsra.2023.9.1.0503
Publication history: 
Received on 16 May 2023; revised on 28 June 2023; accepted on 30 June 2023
 
Abstract: 
Cashless and e-payment policies need a total transformation for a sustainable improvement in POS service in Nigeria. The study was analyzed to model the customers’ perception towards POS machines. The results from regression analysis revealed that variables such as Internet, Completeness, Consistency, Observable and Accuracy have significant impact on customers’ perception towards POS machines while Location, Pricing and Security showed non-significant impact. Results from correlation recorded positive high correlations among most variables. The variables with positive high correlations are; Internet (0.781), Completeness (0.969), Consistency (0.984), Observable (0.957) and Accuracy (0.864) while positive moderate correlations are seen in Location (0.521) and Pricing (0.504) but poor correlation was recorded in Security (0.464). The chi-square test results revealed that there is significant association between dependent and independent variables. Efforts to improve on non-significant variables from regression analysis above are recommended in order to win the hearts of customers’ perception towards POS machines in the state.
 
Keywords: 
Customers; Regression; POS machines; Variables
 
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