Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/26814
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dc.contributor.authorAdepoju, Solomon Adelowo-
dc.contributor.authorOjerinde, Oluwaseun Adeniyi-
dc.contributor.authorOsaretin, Eugene Aigbogun-
dc.date.accessioned2024-02-17T15:04:20Z-
dc.date.available2024-02-17T15:04:20Z-
dc.date.issued2023-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/26814-
dc.description.abstractThere have been rapid advancement and increase in the numbers of subscribers to services provided by different Mobile Network Operators (MNO) in Nigeria today. Hence, making the right choice among the available MNOs is a decision which many users especially students need to make intelligently. This study evaluates subscriber's satisfaction of quality of service provided by the four dominant MNOs in Nigeria which are MTN, GLO, AIRTEL and 9MOBILE. The assessment task is done by using Analytic Hierarchy Process model which is constructed base on some criteria so as to select the most suitable mobile network operator for users. Six criteria associated with MNO QoS were carefully selected for the study associated. Results obtained show that Customer care interaction & response is the most important criteria with a priority weight of 0.44985, while Network coverage, Promotion & Bonuses, Tariff Plan, Quality of calls and Internet speed and got the values of 0.24725, 0.11884, 0.11553, 0.04342, 0.02509 respectively in that order. Also, GLO is found to be the most preferable mobile network operator with a numerical weight of 0.45466 with 9mobile (0.24006), Airtel (0.18609) and MTN (0.08417) in 2nd, 3rd and 4th ranks respectively.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofseries;26-36-
dc.subjectAssessmenten_US
dc.subjectQuality of serviceen_US
dc.subjectMulti-criteria Decision Makingen_US
dc.titleStudent's Subscribers Ranking of Mobile Network Operators Using Analytical Hierarchical Processen_US
dc.typeArticleen_US
Appears in Collections:Computer Science

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