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The Relationship between Customer Loyalty, CustomerSatisfaction, Customer Perceived Value, and Service Quality of SF Express in The Context of Artificial Intelligence

  • International Journal of Accounting and Economics Studies
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Abstract

This study seeks to examine the correlation between SF Express's service quality ‎and perceived value, consumer satisfaction, and customer loyalty within the framework of ‎AI technology utilization. SF Express has had considerable difficulties in preserving its ‎current customer base due to the swift advancement of artificial intelligence and ‎e-commerce, along with heightened industry competition. This study used a questionnaire ‎to collect data and analyzed it with SPSS and AMOS software to closely look into this issue. ‎The results demonstrate that service quality significantly and directly improves customer ‎loyalty and positively affects it through the mediation of customer satisfaction. Subsequent ‎analysis indicates that the five characteristics of express service quality—timeliness, ‎security, responsiveness, tangibility, and empathy—substantially improve overall express ‎service quality. The findings indicate that the implementation of artificial intelligence ‎technology can substantially improve the service quality of SF Express, thereby increasing ‎consumer perceived value and fostering customer loyalty, which is crucial for the enduring ‎success of businesses. This study highlights the significance of express delivery services ‎from the customers' perspective and examines how several characteristics of service ‎quality affect customers' perceived value, satisfaction, and loyalty‎.

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Publication details

DOI
10.14419/j49pxb59
OpenAlex
W4415357901
Document type
article
Language
EN
Source
International Journal of Accounting and Economics Studies
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