The study investigates the influence of perceived service
quality on customers' repeated purchases in restaurants in Yaoundé, Cameroon,
providing insights into the factors that drive customer loyalty in the
restaurant industry. In a dynamic business environment marked by increased
technological advancement that exposes consumers to a multitude of service
providers, the need for continuous improvement of service quality to satisfy
current consumers and create a positive brand image to attract new customers and
render existing ones loyal, cannot be overstated. Data was drawn through a
self-administered questionnaire distributed to a sample of 71 restaurant
customers in the city of Yaoundé drawn through simple random sampling. The
research methodology employed multiple linear regression analysis, providing a
quantitative approach to examine the relationship between service quality and
customer repeated purchases. The results of the study indicate that both
Tangible and Intangible perceived service quality dimensions have a positive
and significant influence on customers’ repeated purchases in restaurants in
the city of Yaoundé. The findings reveal that tangibles and intangibles
perceived service quality have a positive and significant influence on
customers' repeated purchases, highlighting the importance of physical
evidence, employee appearance, reliability, responsiveness, trustworthiness,
and assurance in enhancing customer loyalty. By implication, restaurant
operators to ensure increased customer loyalty should capitalize on, physical
evidence, employee appearance, reliability, responsiveness, trustworthiness,
and assurance of client. The study
suggests the inclusion of price as a dimension of service quality in future research,
indicating the need for a comprehensive understanding of the factors that
influence customer behavior in the restaurant context. Nevertheless, given that clients often
compare the quality of services with the price, it will be necessary to add
price as a new dimension of service quality in future research. Also,
researchers should attempt to test this model in new fields and with a larger
sample size.
Author(s)details:-
Dr. Diangha
Sylvanus Ngoata
Department of Management, University of Yaoundé II, Cameroon.
Please See
the book here :- https://doi.org/10.9734/bpi/crbme/v7/33
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