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The Impact Of Ai-Powered Service Features On Customer Satisfaction: Ride-Hailing Apps In Indonesia

Alvin Kenneth, Fiter Abadi

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  • Alvin Kenneth: Swiss Germany University, Indonesia
  • Fiter Abadi: Swiss Germany University, Indonesia
Published:
June 28, 2026
Pages:
836-845

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Abstract

This research study aims to analyze the influence of artificial intelligence (AI)-based service features on customer satisfaction in the ride-hailing industry in Indonesia. The research method used is a quantitative method with a survey approach and Data is collected through a survey of 400 active users of ride-hailing services. This study uses descriptive analysis to describe the characteristics of respondents, test the validity and reliability of the instrument, classical assumption test which includes normality and multicollinearity tests, and multiple linear regression analysis to test the influence of each independent variable. The results showed that Perceived Value (β=0.114), Perceived Service Delivery (β=0.104), Perceived Service Quality (β=0.194), Identification with the Service Provided (β=0.154), and AI Use Behavior in Services (β=0.175) had a positive and significant effect on customer satisfaction (p<0.001). In contrast, the Market Orientation of Service Provision had a negative but significant effect (β=-0.115; p<0.01). Simultaneously, all variables had a significant effect on customer satisfaction (F=273.333; p<0.001). These findings suggest that the application of AI that improves value, quality of service, and user experience can strengthen customer satisfaction and support ride-hailing companies' reputations.

Author Biographies
Alvin Kenneth

Swiss Germany University

Master of Business Administration Study Program, Faculty of Business & Communication, Swiss Germany University, Indonesia.

Fiter Abadi

Swiss Germany University

Master of Business Administration Study Program, Faculty of Business & Communication, Swiss Germany University, Indonesia.

Article Identifiers
  • Article Title: The Impact Of Ai-Powered Service Features On Customer Satisfaction: Ride-Hailing Apps In Indonesia
  • DOI: 10.59431/ijer.v6i2.834
  • Publication Date: 2026-06-28
  • Journal: Indonesian Journal Economic Review (IJER)
  • Volume: 6
  • Issue: 2
  • Pages: 836-845
References
  • Bhattacharya, C. B., & Sen, S. (2003). Consumer-company identification: A framework for understanding consumers' relationships with companies. Journal of Marketing, 67(2), 76–88. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., Wang, L. C., & Liao, Z. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745–783. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). Sage Publications. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., ... & Wamba, S. F. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 66, 102542. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Field, A. (2024). Discovering statistics using IBM SPSS Statistics (6th ed.). Sage Publications. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Fombrun, C. J. (1996). Reputation: Realizing value from the corporate image. Harvard Business School Press. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • 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. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of management annals, 14(1), 366-410. https://doi.org/10.5465/annals.2018.0174. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Méndez-Gutiérrez, L. L., Espinoza-Castro, J. E., & Jiménez-Pachas, E. J. (2025, October). Artificial Intelligence and Customer Experience: A Systematic Review Across Industries 2021-2025. In 2025 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) (pp. 1-6). IEEE. https://doi.org/10.1109/ICTMOD66732.2025.11372032. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Narver, J. C., & Slater, S. F. (1990). The effect of a market orientation on business profitability. Journal of Marketing, 54(4), 20–35. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In S. Worchel & W. G. Austin (Eds.), Psychology of intergroup relations (pp. 7–24). Nelson-Hall. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Vargo, S. L., & Lusch, R. F. (2023). Service-dominant logic: Premises, perspectives, possibilities. Cambridge University Press. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Venkatesh, V., Thong, J. Y. L., & Xu, X. (2022). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 46(1), 1–32. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Wirtz, J., Kunz, W. H., Hartley, M. A., & Tarbit, N. (2021). Corporate digital responsibility in service firms and their ecosystems. Journal of Service Research, 24(3), 344–360. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers

Issue Information

Article Details

Volume: 6
Issue: 2
Year: 2026
Published: 2026-06-28
Pages: 836-845
Section: Articles
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How to Cite

Kenneth, A., & Abadi, F. (2026). The Impact Of Ai-Powered Service Features On Customer Satisfaction: Ride-Hailing Apps In Indonesia. Indonesian Journal Economic Review (IJER), 6(2), 836-845. https://doi.org/10.59431/ijer.v6i2.834
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