An efficient predictive model for choosing mobile cellular service provider in Nigeria
| dc.contributor.author | Ohuabunwa, Augustine Ebere | |
| dc.date.accessioned | 2024-11-20T12:27:09Z | |
| dc.date.available | 2024-11-20T12:27:09Z | |
| dc.date.issued | 2015-07 | |
| dc.description | The Master's thesis contains tables | |
| dc.description.abstract | Free competition and new network technology have increased competition and widened the range of network service available throughout the world. However, for cellular network service providers, loyalty is a rare trait among customers when it comes to choosing a particular mobile cellular system provider. Despite the huge financial commitment by companies into their respective communication technologies, users ultimately make decisions based on their perceived quality of service (QoS). This thesis attempts to identify the factors affecting the Quality of Service of cellular mobile network providers in Nigeria and put their effect in quantifiable terms using four leading telecommunication firms viz. MTN-Nigeria, Globacom, Etisalat and Airtel. With a clear choice of information sources, regressional analysis and SPSS was utilized. It was discovered that six factors affect the quality of service of cellular mobile network: Network coverage/ Availability of service(X5), Call quality(X3), Price of service (X4) , Customer care(X2), Diversity of bundle option of service (X1) and Promotion/Offering of Incentive(X6). A predictive model was derived as : Y = 3.731+0.565X5 + 0.440X3 + 0.221X2+ 0.189X4 + 0.165X1 + 0.097X6.The significance of the factors X4, X1 , X2 and X6 depend on X5 and X3, hence Y = 3.731(1+0.1514 X5+0.1179 X3). | |
| dc.description.sponsorship | Department of Information Management Technology, FUTO | |
| dc.identifier.citation | Ohuabunwa, A. E. (2015). An efficient predictive model for choosing mobile cellular service provider in Nigeria(Unpublished Master's Thesis). Federal University of Technology, Owerri, Nigeria | |
| dc.identifier.uri | https://repository.futo.edu.ng/handle/20.500.14562/1534 | |
| dc.language.iso | en | |
| dc.publisher | Federal University of Technology, Owerri | |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.subject | Model | |
| dc.subject | call-drop | |
| dc.subject | cell | |
| dc.subject | call-quality | |
| dc.subject | quality-of-service (QOS) | |
| dc.subject | Department of Information Management Technology | |
| dc.title | An efficient predictive model for choosing mobile cellular service provider in Nigeria | |
| dc.type | Master’s Thesis |