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Determinants of customer satisfaction in chatbot use: evidence from a banking application in Turkey

顾客满意度 业务 营销 聊天机器人 顾客惊喜 客户资产 结构方程建模 客户宣传 客户对客户 客户情报 人口 声誉 样品(材料) 客户保留 服务质量 服务(商务) 计算机科学 医学 社会科学 化学 环境卫生 色谱法 人工智能 机器学习 社会学
作者
Berrin Arzu Eren
出处
期刊:International Journal of Bank Marketing [Emerald Publishing Limited]
卷期号:39 (2): 294-311 被引量:282
标识
DOI:10.1108/ijbm-02-2020-0056
摘要

Purpose This study aims to investigates customer satisfaction from the use of bank chatbots and the effect of perceived trust in chatbots and banks' reputation on customer satisfaction. Design/methodology/approach A survey is conducted in Turkey involving 240 customers who experienced banking transactions using a chatbot. Partial least squares structural equation modeling (PLS-SEM) is used to investigate the relationships between the variables. The data were analyzed using SPSS 21 and SmartPLS programs. Findings Perceived performance, perceived trust and corporate reputation significantly affect customer satisfaction with chatbot use. Customer expectations and confirmation of customer expectations have no direct impact on customer satisfaction, but customer expectations positively affect perceived performance. Customer expectations exert an indirect influence on customer satisfaction through perceived performance. Perceived performance has a positive impact on the confirmation of customer expectations, but customer expectations do not significantly impact the confirmation of customer expectations. Research limitations/implications This study relies on a limited number of participants. Moreover, its sample is not representative of the target population due to the convenience sampling technique. Even if the results may not be generalized to the entire population of Turkey, they reflect the reality of emerging markets with relatively high technology sensitivity and a young population. Practical implications The results provide new insights regarding banking service delivery channels, which may be of interest to professionals, academics, banks' top management, product development teams, design teams and customer satisfaction units. Social implications This study is believed to help the community make their lives easier by providing them with knowledge and awareness about chatbots. Originality/value This study extends expectations confirmation theory's predictions to chatbot use in banking.
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