Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm

With the rapid growth in the field of information and communication technology, the demand for telecommunications and internet services increased over the years. In Sudan, three reputed telecom companies provide these types of services. Although a great competition between these companies in order t...

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Autores principales: Fageeri Sallam Osman, Arockiasamy S., Said Aiman Moyaid
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Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/0d27e616e0bf42e7a9e2f71cd9d028fa
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spelling oai:doaj.org-article:0d27e616e0bf42e7a9e2f71cd9d028fa2021-12-02T17:15:22ZAnalyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm2261-242410.1051/shsconf/202112403003https://doaj.org/article/0d27e616e0bf42e7a9e2f71cd9d028fa2021-01-01T00:00:00Zhttps://www.shs-conferences.org/articles/shsconf/pdf/2021/35/shsconf_icmesh2020_03003.pdfhttps://doaj.org/toc/2261-2424With the rapid growth in the field of information and communication technology, the demand for telecommunications and internet services increased over the years. In Sudan, three reputed telecom companies provide these types of services. Although a great competition between these companies in order to attract more new customers and also to keep the existing customers satisfied, many new and existing customers still has some apprehensions over the difficulty on how to choose the best among the service providers in terms of full range of services with affordable cost. This study aims to measure the customer satisfaction from the telecom companies in Sudan. The survey questionnaire designed and distributed electronically to as many customers to find frequent patterns by applying association rule mining techniques. The results of analysis show that Zain Sudan performs better compared to MTN and Sudani telecom companies in terms of various customer-oriented services.Fageeri Sallam OsmanArockiasamy S.Said Aiman MoyaidEDP SciencesarticleSocial SciencesHENFRSHS Web of Conferences, Vol 124, p 03003 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Social Sciences
H
spellingShingle Social Sciences
H
Fageeri Sallam Osman
Arockiasamy S.
Said Aiman Moyaid
Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm
description With the rapid growth in the field of information and communication technology, the demand for telecommunications and internet services increased over the years. In Sudan, three reputed telecom companies provide these types of services. Although a great competition between these companies in order to attract more new customers and also to keep the existing customers satisfied, many new and existing customers still has some apprehensions over the difficulty on how to choose the best among the service providers in terms of full range of services with affordable cost. This study aims to measure the customer satisfaction from the telecom companies in Sudan. The survey questionnaire designed and distributed electronically to as many customers to find frequent patterns by applying association rule mining techniques. The results of analysis show that Zain Sudan performs better compared to MTN and Sudani telecom companies in terms of various customer-oriented services.
format article
author Fageeri Sallam Osman
Arockiasamy S.
Said Aiman Moyaid
author_facet Fageeri Sallam Osman
Arockiasamy S.
Said Aiman Moyaid
author_sort Fageeri Sallam Osman
title Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm
title_short Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm
title_full Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm
title_fullStr Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm
title_full_unstemmed Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm
title_sort analyzing customer satisfaction over telecom companies in sudan using apriori algorithm
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/0d27e616e0bf42e7a9e2f71cd9d028fa
work_keys_str_mv AT fageerisallamosman analyzingcustomersatisfactionovertelecomcompaniesinsudanusingapriorialgorithm
AT arockiasamys analyzingcustomersatisfactionovertelecomcompaniesinsudanusingapriorialgorithm
AT saidaimanmoyaid analyzingcustomersatisfactionovertelecomcompaniesinsudanusingapriorialgorithm
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