International Transactions on Artificial Intelligence (ITALIC)
Vol. 2 No. 1 (2023): International Transactions on Artificial Intelligence

Assessing Customer Satisfaction in AI-Powered Services: An Empirical Study with SmartPLS

Achani Rahmania Az Zahra (University of Raharja)
Dendy Jonas (University of Raharja)
Ita Erliyani (University of Raharja)
Rosdiana (University of Raharja)
Natasya Aprila Yusuf (University of Raharja)



Article Info

Publish Date
26 Nov 2023

Abstract

In the contemporary business landscape, the evaluation of customer satisfaction plays a pivotal role in assessing the effectiveness of AI-powered services. This empirical study, bolstered by the robust analytical tool, SmartPLS, systematically scrutinizes the intricate relationship between AI-powered services and customer satisfaction. With a rigorous and methodical service quality analysis, conducted with a sample of 189 respondents, we unveil the salient attributes and determinants that underpin customer satisfaction within the framework of AI-driven services. This research contributes substantially to a more profound comprehension of how organizations can strategically enhance customer satisfaction via the adept deployment of AI technologies. The ensuing findings, derived from the comprehensive analysis of 189 respondents, provide invaluable insights into the optimization of service quality within AI-powered ecosystems. These insights hold the potential to cultivate heightened levels of customer satisfaction and engender enduring loyalty, which is of paramount importance in the contemporary business landscape.

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Journal Info

Abbrev

italic

Publisher

Subject

Computer Science & IT Control & Systems Engineering Library & Information Science

Description

International Transactions on Artificial Intelligence (ITALIC) is an international, open-access journal established to publish groundbreaking research in the field of Artificial Intelligence (AI). ITALIC focuses on both theoretical and experimental AI research and explores its applications across ...