Using a support vector machine to determine loyalty in African, European, and North American telecoms

Publication typeJournal Article
Publication date2022-12-21
scimago Q1
wos Q2
SJR0.576
CiteScore4.2
Impact factor1.6
ISSN25040537
General Medicine
Abstract

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.

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Journals

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Frontiers in Research Metrics and Analytics
1 publication, 100%
1

Publishers

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Frontiers Media S.A.
1 publication, 100%
1
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GOST Copy
Mohlala C., Bankole F. Using a support vector machine to determine loyalty in African, European, and North American telecoms // Frontiers in Research Metrics and Analytics. 2022. Vol. 7.
GOST all authors (up to 50) Copy
Mohlala C., Bankole F. Using a support vector machine to determine loyalty in African, European, and North American telecoms // Frontiers in Research Metrics and Analytics. 2022. Vol. 7.
RIS |
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RIS Copy
TY - JOUR
DO - 10.3389/frma.2022.1025303
UR - https://doi.org/10.3389/frma.2022.1025303
TI - Using a support vector machine to determine loyalty in African, European, and North American telecoms
T2 - Frontiers in Research Metrics and Analytics
AU - Mohlala, Clene
AU - Bankole, Felix
PY - 2022
DA - 2022/12/21
PB - Frontiers Media S.A.
VL - 7
PMID - 36619498
SN - 2504-0537
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Mohlala,
author = {Clene Mohlala and Felix Bankole},
title = {Using a support vector machine to determine loyalty in African, European, and North American telecoms},
journal = {Frontiers in Research Metrics and Analytics},
year = {2022},
volume = {7},
publisher = {Frontiers Media S.A.},
month = {dec},
url = {https://doi.org/10.3389/frma.2022.1025303},
doi = {10.3389/frma.2022.1025303}
}