Abstract
Customer satisfaction is one of the key factors in modern marketing and customer’s behavior analysis. Banking industry is one of the numerous services in which the customer satisfaction has had an ever increasing importance in the corresponding research areas. The problem here is the complexity of dealing with customer satisfaction due to super abundant factors engaged in it. In this paper the applications of Fuzzy Cognitive Maps (FCM’s), as a decision making tool, in banking industry, a very vital part of a country’s economy, has been discussed. The paper focuses on the development of customers' satisfaction model in banking sector using fuzzy cognitive map. A questionnaire assessing customer’s opinions to give a clear perception of factors affecting customer satisfaction in banks was designed based on Complaint handling, Service quality, Service feature, Competiveness and Convenience, which are the five major factors considered. The questionnaire was administered to bank managers, other bank staff and the customers within selected banks (First bank, Polaris bank and Wema bank) in Ogbomosho environ, Oyo state South-West Nigeria. The opinions from the administered questionnaires were quantitatively analysed using descriptive statistic in Statistical Package of Social Sciences. The analysis on five factors considered which are: Complaint handling, Service quality, Service feature, Competiveness and Convenience and defining the relationship between the factors were then used to develop the FCM model with the use of mental modeler software. The nodes of the FCM model represent the main factors affecting customer satisfaction in banking sector and running of ‘what if’ scenario to determine how the model might react under possible change. The simulated results show that Service quality and Complain handling has a degree of effect on Customer satisfaction while other factors has no effect on customer satisfaction which could be positive and negative impact on customer satisfaction in banking sector. This implies that Service quality and Complain handling are important factors in predicting the customer satisfaction in banking sector. Keywords: Customer satisfaction, Fuzzy Cognitive Map (FCM), Model, Banks and Decision. DOI: 10.7176/JIEA/10-4-06 Publication date: September 30 th 2020
Highlights
Customer satisfaction is an important issue for marketing managers, those in services industries in general, if the customers are satisfied with a provided goods or a particular service, the probability that they use the service again increase but the problem here is the complexity of dealing with customer satisfaction
The study determined the five major important factors which are responsible for the customer satisfaction in Banking Sector, The factor are: Service quality, Service Feature, Complaint Handling, Convenience, and Competiveness
The Fuzzy Cognitive Map for the customer satisfaction in banking sector drawn by using the factors which were collected by enquiring the knowledge of expert and browsing the internet on factor affecting customer satisfaction in banking sector
Summary
Customer satisfaction is an important issue for marketing managers, those in services industries in general, if the customers are satisfied with a provided goods or a particular service, the probability that they use the service again increase but the problem here is the complexity of dealing with customer satisfaction. Customers are the main reason for their existence in marketplace, and they are very dependent. The Banks should never wish that customers “should be drive away” because their future and protection would be at risk. These forms the main reason banks in the current times are giving too much commitment to customer gratification, retention, and faithfulness (Bloemer,1998)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Journal of Information Engineering and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.