DEVELOPMENT OF FACTORS AND INDICATORS OF SERVICE QUALITY AFFECTING TO CUSTOMER SATISFACTION AND LOYALTY IN FINANCIAL SERVICES INDUSTRY: THAI TEXT ANALYTICS WITH ARTIFICIAL INTELLIGENCE

Authors

  • Nattachai Wongsupaluk College of Research Methodology and Cognitive Science Burapha University Alumni Associate
  • Pimolluck Jirakunkanok Feedback180 Company Limited

Keywords:

Factors and Indicators, Service Quality, Satisfaction and Loyalty, Financial Services Industry, Thai Text Analytics

Abstract

The purpose of this research were: 1) to develop artificial intelligence to customers’ opinions Thai text analysis on social media in the financial services industry, and 2) to develop the factors and identifiers of service quality affects to customer satisfaction and loyalty in the financial services industry. Data were comments from commercial bank customer in Thai text on social media during the year 2020 total 8,711 messages, collected by data crawling tool.  Model development was carried out using the support vector machine algorithm. Algorithm performance evaluated with F1-Score. The result showed that the F1-Score have accuracy between 75.2 - 76.2 percent. Experts Consensus using an e-Delphi technique consisted of four factors and 21 indicators of service quality. The factor loading was analyzed using the analytical hierarchy process that included 1) process, 2) staff, 3) Branch Service, and 4) Brand Image were 0.32, 0.31, 0.21 and 0.16, respectively.

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Published

30.12.2022

How to Cite

WONGSUPALUK, N. .; JIRAKUNKANOK, P. DEVELOPMENT OF FACTORS AND INDICATORS OF SERVICE QUALITY AFFECTING TO CUSTOMER SATISFACTION AND LOYALTY IN FINANCIAL SERVICES INDUSTRY: THAI TEXT ANALYTICS WITH ARTIFICIAL INTELLIGENCE. RMUTT Global Business and Economics Review, Pathum Thani, Thailand, v. 17, n. 2, p. 114–133, 2022. Disponível em: https://so03.tci-thaijo.org/index.php/RMUTT-Gber/article/view/262214. Acesso em: 17 may. 2024.

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Section

Research Articles