基于模糊认知图的银行业客户满意度模型研究

A. Oluwaseun, F. Deborah, Adedeji Oluyinka
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摘要

顾客满意是现代市场营销和顾客行为分析的关键因素之一。银行业是众多服务之一,客户满意度在相应的研究领域中占有越来越重要的地位。这里的问题是处理客户满意度的复杂性,因为它涉及的因素非常丰富。本文讨论了模糊认知地图作为一种决策工具在国家经济的重要组成部分——银行业中的应用。本文主要研究了基于模糊认知图的银行业客户满意度模型的开发。根据投诉处理、服务质量、服务特色、竞争力和便利性这五个主要考虑因素,设计了一份评估客户意见的问卷,以清楚地了解影响银行客户满意度的因素。问卷调查是在尼日利亚西南部奥约州Ogbomosho附近的银行经理、其他银行工作人员和选定银行(第一银行、北极星银行和Wema银行)的客户中进行的。采用《社会科学统计软件包》中的描述性统计方法,对问卷的意见进行定量分析。通过对投诉处理、服务质量、服务特色、竞争力和便利性五个考虑因素的分析,定义了因素之间的关系,利用mental modeler软件建立了FCM模型。FCM模型的节点代表了影响银行业客户满意度的主要因素,并运行“假设”场景来确定模型在可能发生的变化下可能做出的反应。模拟结果表明,服务质量和投诉处理对客户满意度有一定程度的影响,而其他因素对客户满意度没有影响,这可能对银行业客户满意度产生积极和消极的影响。这意味着服务质量和投诉处理是预测银行业客户满意度的重要因素。关键词:客户满意度,模糊认知图,模型,银行,决策DOI: 10.7176/JIEA/10-4-06出版日期:2020年9月30日
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Customers Satisfaction Model in Banking Sector Using Fuzzy Cognitive Map
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
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