AI-Powered Personalization Capability, Customer satisfaction and Customer Loyalty: Evidence from Beauty and Personal Care Industry in Thailand
Main Article Content
Abstract
This study aims to investigates the relationships between AI-powered personalization capability, customer satisfaction, and customer loyalty in Thailand's beauty and personal care industry. Using structural equation modeling on data from 239 firms, the research found that AI-powered personalization capability has significant positive direct effects on both customer satisfaction and loyalty. Customer satisfaction also demonstrated a strong positive influence on loyalty. The analysis confirmed that customer satisfaction significantly mediates the relationship between AI-powered personalization capability and customer loyalty, with an indirect effect of 0.34, accounting for 45% of the total effect. The study revealed that AI-powered personalization capability and customer satisfaction together could predict customer loyalty by 72%. The findings provide empirical evidence for the importance of AI-driven personalization in enhancing customer relationships in the beauty and personal care sector. This research offers valuable insights for managers in implementing AI technologies and developing customer-centric strategies, particularly for small and medium-sized enterprises in the Thai market.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Views and opinions expressed in the journal do not necessarily reflect those of the editors.
References
Almohaimmeed, B. (2020). The impacts of brand experiences on customer satisfaction and electronic word of mouth. Business: Theory and Practice, 21(2), 695-703.
Basu, S. (2021). Personalized product recommendations and firm performance. Electronic Commerce Research and Applications, 48, 1-11.
Belanche, D., Casaló, L. V., & Flavian, C. (2019). Artificial intelligence in FinTech: Understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411-1430.
Bilkin, Y. (2018). The effect of social media marketing activities on brand awareness, brand image and brand loyalty. Business & Management Studies: An International Journal, 6(1), 128-148.
Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). New York: Taylor and Francis Group.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42.
Diamantopoulos, A., & Siguaw, J. A. (2000). Introduction to LISREL: A guide for the uninitiated. London: SAGE Publications.
Faverio, M. (2023). Key findings about Americans and data privacy. Pew Research Center. Retrieved May 1, 2024, from https://www.pewresearch.org/short-reads/2023/10/18/key-findings-about-americans-and-data-privacy/
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50.
Ifekanandu, C. C., Anene, J. N., Iloka, C. B., & Ewuzie, C. O. (2023). Influence of artificial intelligence (AI) on customer experience and loyalty: Mediating role of personalization. Journal of Data Acquisition and Processing, 38(3), 1936-1960.
Kline, R. B. (2010). Principles and practice of structural equation modeling. New York: The Guilford Press.
Kumar, V., & Shah, D. (2004). Building and sustaining profitable customer loyalty for the 21st century. Journal of Retailing, 80(4), 317-329.
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96.
Marketing Evolution. (2022). What is AI marketing? Retrieved September 1, 2024, from https://www.marketingevolution.com/marketing-essentials/ai-markeitng
McKinsey & Company. (2021). The state of fashion 2021: In search of promise in perilous times. Retrieved September 1, 2024, from https://www.mckinsey.com/~/media/mckinsey/industries/retail/our%20insights/state%20of%20fashion/2021/the-state-of-fashion-2021-vf.pdf
Mittal, V., Han, K., Frennea, C., Blut, M., Shaik, M., Bosukonda, N., & Sridhar, S. (2023). Customer satisfaction, loyalty behaviors, and firm financial performance: What 40 years of research tells us. Marketing Letters, 31, 171-187.
Nicholes, D. (2024). 5 ways how AI can increase conversion rates in 2024. Picreel. Retrieved September 1, 2024, from https://www.picreel.com/blog/how-ai-increase-conversion-rates/
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
Rolando, B. (2024). The role of artificial intelligence in personalized and customized engagement marketing: A comprehensive review. Economic and Business Journal, 2(3), 301-316.
Roy, S. K., Balaji, M. S., Quazi, A., & Quaddus, M. (2018). Predictors of customer acceptance of and resistance to smart technologies in the retail sector. Journal of Retailing and Consumer Services, 42, 147-160.
Sharma, N., & Patterson, G. P. (2000). Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional, consumer services. International Journal of Service Industry Management, 11(5), 470-490.
Statista. (2023). Breakdown of beauty and cosmetic market in Thailand in 2023. Retrieved May 1, 2024, from https://www.statista.com/statistics/1385853/thailand-beauty-and-cosmetic-market-breakdown-by-market/#:~:text=In%202023%2C%20the%20domestic%20market,been%20increasing%20over%20the%20years
Statista. (2024). Beauty and personal care in Thailand - statistics & facts. Retrieved May 1, 2024, from https://www.statista.com/topics/7578/beauty-and-personal-care-in-thailand/#editorsPicks
Sterne, J. (2017). Artificial intelligence for marketing: Practical applications. Wiley. Retrieved May 1, 2024, from https://onlinelibrary.wiley.com/doi/book/10.1002/9781119406341
Ziakis, C., & Vlachopoulou, M. (2023). Artificial intelligence in digital marketing: Insights from a comprehensive review. Information, 14(12), 1-30.