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

• Published in: Frontiers in research metrics and analytics Vol. 7; p. 1025303
• Main Authors: Mohlala, Clene, Bankole, Felix
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 21.12.2022
• Subjects: brand engineering; brand science; computing; loyalty; Research Metrics and Analytics; support vector machine; telecommunications; computing; support vector machine; brand science; data science; loyalty; brand engineering; telecommunications
• ISSN: 2504-0537; 2504-0537
• DOI: 10.3389/frma.2022.1025303

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.