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Using a support vector machine to determine loyalty in African, European, and North American telecoms
Brand loyalty is seen as a repeat purchase and the ability to recommend services or products. Telecommunication service providers require loyal customers to stay in business. The current study examines the impact of brand function and corporate image on customer loyalty in the telecommunication indu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811816/ https://www.ncbi.nlm.nih.gov/pubmed/36619498 http://dx.doi.org/10.3389/frma.2022.1025303 |
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author | Mohlala, Clene Bankole, Felix |
author_facet | Mohlala, Clene Bankole, Felix |
author_sort | Mohlala, Clene |
collection | PubMed |
description | Brand loyalty is seen as a repeat purchase and the ability to recommend services or products. Telecommunication service providers require loyal customers to stay in business. The current study examines the impact of brand function and corporate image on customer loyalty in the telecommunication industry. The research employed a total of 971 responses from an anonymous online survey of telecommunication customers in Africa, Europe, and North America. Employing partial least squares, the study examined the relationships between brand function, corporate image, and loyalty. The result showed that brand function and corporate image have a significant positive effect on customer satisfaction. In addition, a machine learning algorithm was used to model the best prediction for consumer recommendations of products and services provided by their telecommunication service provider to friends and family. |
format | Online Article Text |
id | pubmed-9811816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98118162023-01-05 Using a support vector machine to determine loyalty in African, European, and North American telecoms Mohlala, Clene Bankole, Felix Front Res Metr Anal Research Metrics and Analytics Brand loyalty is seen as a repeat purchase and the ability to recommend services or products. Telecommunication service providers require loyal customers to stay in business. The current study examines the impact of brand function and corporate image on customer loyalty in the telecommunication industry. The research employed a total of 971 responses from an anonymous online survey of telecommunication customers in Africa, Europe, and North America. Employing partial least squares, the study examined the relationships between brand function, corporate image, and loyalty. The result showed that brand function and corporate image have a significant positive effect on customer satisfaction. In addition, a machine learning algorithm was used to model the best prediction for consumer recommendations of products and services provided by their telecommunication service provider to friends and family. Frontiers Media S.A. 2022-12-21 /pmc/articles/PMC9811816/ /pubmed/36619498 http://dx.doi.org/10.3389/frma.2022.1025303 Text en Copyright © 2022 Mohlala and Bankole. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Research Metrics and Analytics Mohlala, Clene Bankole, Felix Using a support vector machine to determine loyalty in African, European, and North American telecoms |
title | Using a support vector machine to determine loyalty in African, European, and North American telecoms |
title_full | Using a support vector machine to determine loyalty in African, European, and North American telecoms |
title_fullStr | Using a support vector machine to determine loyalty in African, European, and North American telecoms |
title_full_unstemmed | Using a support vector machine to determine loyalty in African, European, and North American telecoms |
title_short | Using a support vector machine to determine loyalty in African, European, and North American telecoms |
title_sort | using a support vector machine to determine loyalty in african, european, and north american telecoms |
topic | Research Metrics and Analytics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811816/ https://www.ncbi.nlm.nih.gov/pubmed/36619498 http://dx.doi.org/10.3389/frma.2022.1025303 |
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