The Impact of Operational Performance and Pricing Policy on Purchase Intention for Economy-Class Train Services

Authors

  • Lestiyanti Lestari Management Study Pragram, Faculty of Economics, Krisnadwipaya University, Jakarta
  • Yuaniko Yuaniko Management Study Pragram, Faculty of Economics, Krisnadwipaya University, Jakarta

DOI:

https://doi.org/10.58777/reb.v4i1.588

Keywords:

Operational Performance, Pricing Policy, Purchase Intention, Economy-Class Train

Abstract

This study aims to analyze the effect of operational performance and pricing policy on purchase intention for long-distance economy-class train tickets at Bekasi Station. Fluctuations in passenger numbers and relatively low growth compared to market potential indicate unstable consumer purchase intention. Operational issues such as delays and facility complaints, as well as perceptions of price-value mismatches, are assumed to influence consumer decisions. A quantitative survey approach was employed using primary data collected from 76 economy-class passengers. Data were analyzed through validity and reliability tests, classical assumption tests, and multiple linear regression using SPSS. The results reveal that operational performance and pricing policy have a positive and significant effect on purchase intention, both partially and simultaneously. The coefficient of determination shows that these two variables explain 97.5% of the variation in purchase intention. The findings conclude that improving punctuality, service quality, and facility comfort, and implementing competitive, value-based pricing strategies are crucial to increasing consumer interest. Managerially, the study contributes practical insights for railway operators in designing operational improvements and adaptive pricing strategies to enhance competitiveness and passenger demand.

References

Ajzen, I. (2022). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Arifin, Z., Nugroho, A., & Pratama, R. (2023). The role of e-customer satisfaction as an intervening variable in the relationship between e-service quality, e-recovery, and e-customer loyalty among Indonesian railroad access customers. Journal of Transportation and Service Management, 15(2), 101–115. https://doi.org/10.60083/jsisfotek.v5i3.274

Ayu, P. R. (2023). Pengaruh produk, harga, dan efektivitas layanan terhadap minat beli tiket tarif khusus (Studi pada Stasiun Purwokerto). Jurnal Manajemen Transportasi, 8(1), 45–58.

Cyntia, A., & Rodhiah. (2020). Pengaruh kepercayaan, persepsi harga, dan kinerja operasional terhadap minat beli pelanggan Lazada. Jurnal Manajemen Bisnis, 7(2), 120–132. https://doi.org/10.24912/jmk.v2i4.9869

Davis, M. M., Aquilano, N. J., & Chase, R. B. (2022). Fundamentals of operations management (9th ed.). New York: McGraw-Hill Education.

Ferdinand, A. (2019). Metode Penelitian Manajemen. Semarang: BP Undip.

Georgiadis, G., et al. (2023). Examining the impact of service quality on passengers’ intentions to utilize rail transport in the post-pandemic era. Transportation Research Part A, 167, 103–118.

Ghozali, I. (2021). Aplikasi Analisis Multivariate dengan Program IBM SPSS 26. Semarang: Badan Penerbit Universitas Diponegoro.

Gu, X., Yang, Y., & Wang, L. (2022). Customer retention strategies and long-term firm performance. Journal of Marketing Management, 38(9–10), 945–962.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

Hanafiah, M. H., & Djabbar, F. (2024). Service quality, price perception, and behavioral intention in public transportation services. Asian Journal of Business and Management, 12(1), 55–67.

Heizer, J., Render, B., & Munson, C. (2020). Operations Management: Sustainability and Supply Chain Management (13th ed.). Pearson Education.

Hinterhuber, A., & Liozu, S. (2020). Is innovation in pricing your next source of competitive advantage? Business Horizons, 63(2), 191–200.

Ibrahim, M., Borhan, M. N., & Yazid, M. R. M. (2020). Rail-based public transport service quality and user satisfaction: A literature review. Promet – Traffic & Transportation, 32(3), 423–435. https://doi.org/10.7307/ptt.v32i3.3270

Indrasari, M. (2022). Pemasaran dan kepuasan pelanggan. Surabaya: Unitomo Press.

Kotler, P., Keller, K. L., & Chernev, A. (2021). Marketing management (16th ed.). Pearson Education.

Nagle, T. T., Hogan, J. E., & Zale, J. (2022). The strategy and tactics of pricing (6th ed.). New York: Routledge.

Neely, A., Adams, C., & Kennerley, M. (2023). The performance prism: The scorecard for measuring and managing business success. London: Pearson Education.

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (2019). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.

Prasetyo, H., & Rahman, A. (2021). Analisis kinerja operasional transportasi publik berbasis rel. Jurnal Transportasi Nasional, 5(2), 89–101.

Sari, D. P., & Wibowo, A. (2023). Pengaruh kualitas layanan terhadap kepuasan pengguna transportasi publik. Jurnal Manajemen Pelayanan, 10(1), 33–44.

Schiffman, L. G., & Wisenblit, J. L. (2019). Consumer Behavior (12th ed.). Pearson Education.

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.

Slack, N., Brandon-Jones, A., & Burgess, N. (2022). Operations Management (10th ed.). Pearson Education.

Smith, J., & Anderson, P. (2023). Technology adoption and consumer preference in transportation services. International Journal of Transport Economics, 50(4), 389–405.

Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.

Tjiptono, F., & Diana, A. (2020). Pemasaran: Strategi dan implementasi. Yogyakarta: Andi.

Wang, C., Zhang, J., & Sun, S. (2020). The impact of service quality and customer satisfaction on reuse intention in urban rail transit in Tianjin, China. Sustainability, 12(10), 1–16. https://doi.org/10.1177/2158244019898803

Yadav, R., & Pathak, G. S. (2022). Determinants of purchase intention using the theory of planned behavior. Journal of Consumer Behaviour, 21(2), 345–357.

Zeyaullah, M., et al. (2023). Dynamic revenue management in a passenger rail network under price

Zhou, Y., Li, X., & Wang, J. (2021). Optimization of differential pricing and seat allocation in high-speed railways for multi-class demands. Transportation Research Part B, 148, 80–98.

Downloads

Published

2026-03-19

Issue

Section

Articles
image host Views: 0 | image host Downloaded: 0