Issue |
SHS Web Conf.
Volume 124, 2021
International Conference on Management, Social Sciences & Humanities (ICMeSH 2020)
|
|
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Article Number | 03003 | |
Number of page(s) | 8 | |
Section | Part 1 - Business and Economy for Sustainable Future | |
DOI | https://doi.org/10.1051/shsconf/202112403003 | |
Published online | 15 November 2021 |
Analyzing Customer Satisfaction Over Telecom Companies in Sudan Using Apriori Algorithm
Department of Information Systems, College of Economics, Management and Information Systems, University of Nizwa, Sultanate of Oman
* Corresponding author: aiman.moyaid@unizwa.edu.om
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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