Abstract:
Background: The increasing adoption of AI chatbots in academic
services has transformed how universities interact with students by
offering instant, automated support. Despite their growing use, empirical
evidence on how AI chatbots enhance customer experience particularly
in terms of user satisfaction and loyalty remains limited within academic
service contexts. Understanding these relationships is significant for
higher education institutions seeking to improve service efficiency,
student engagement, and long-term loyalty.
Objective: The primary objective of this study is to examine the impact
of AI chatbot quality dimensions; system quality, information quality,
and service quality on customer satisfaction and to assess how customer
satisfaction influences customer loyalty in academic services.
Methodology: This study adopted a quantitative research design using
a structured online questionnaire. The survey instrument was developed
based on established scales measuring system quality (flexibility,
availability,
response speed), information quality (relevance,
completeness), service quality (assurance, empathy, satisfaction),
customer satisfaction, and customer loyalty. Data were collected from
400 university students using a convenience sampling method, of which
350 valid responses were retained after data screening. Statistical analysis
was conducted using SPSS version 23.0, employing reliability analysis
and regression techniques to test the proposed relationships.
Key Findings: The findings reveal that system quality, information
quality, and service quality have a significant and positive effect on
customer satisfaction. Furthermore, customer satisfaction was found to
significantly influence customer loyalty. The results indicate that AI
chatbots enhance student satisfaction by providing accurate, relevant,
and real-time responses while reducing service response times. Conclusion/Implication: This study provides empirical evidence
supporting the role of AI chatbots in enhancing customer experience
within academic services. The findings offer practical implications for
higher education institutions by highlighting the importance of
improving chatbot quality to foster student satisfaction and loyalty.
However, the study is limited by its reliance on self-reported data, a
moderate sample size, and a focus on academic services, which may
restrict generalizability. Future research is encouraged to explore other
service sectors, examine long-term effects of chatbot usage, and
incorporate additional variables such as personalization.