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

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.

Authors

Institutions

Publication Details

Journal
International Journal of Accounting and Economics Studies
Published
2025-10-20
DOI
https://doi.org/10.14419/j49pxb59
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Anong Taiwan, Xuesong Li, Rattanavalee Maisak
International Journal of Accounting and Economics Studies
Technology and Data Analysis
article

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

Anong Taiwan, Xuesong Li, Rattanavalee Maisak
article en

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.

International Journal of Accounting and Economics StudiesVol. 12(6)
Rajamangala University of Technology Phra Nakhon (TH)
Openalex Percentile: Top 57%
Technology and Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.