Date Log
Copyright (c) 2026 Amir Fikri, Renny Risqiani, Janita S. Meliala (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Sentiment and Repurchase Signals in Indonesian Fresh-Produce E-Commerce Reviews: A Pilot Text-Mining Study
Corresponding Author(s) : Amir Fikri
Jurnal Minds: Manajemen Ide dan Inspirasi,
Vol. 13 No. 3 (2026): December
Abstract
Keywords
Download Citation
Endnote/Zotero/Mendeley (RIS)BibTeX
- Ela elliyana et.al. (2022). Costumer Behaviour. In A. H. Nadana (Ed.), Ahlimedia press (1st ed.). Ahlimedia Press. https://isbn.perpusnas.go.id/kdt/ViewKdt?id=0422000767
- Elliyana, E., Hastuti, P., Moh Sabran, A., & Rahman, A. (2022). Literatur Review: Costumer Experience in Financial Technologi. Jurnal Administrasi Kantor, 10, 134–143.
- Gulc, A. (2021). Multi-stakeholder perspective of courier service quality in B2C e-commerce. PLoS ONE, 16. https://doi.org/10.1371/journal.pone.0251728
- Kumar, A., Chakraborty, S., & Bala, P. K. (2023). Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews. Journal of Retailing and Consumer Services, 73, 103363.
- Lakshmi, L., Ali, A. B. M., Devi, K. D. S., Rafiq, M., Shernazarov, I., Othman, N. A., & Khan, M. I. (2025). Opinion mining in e-commerce: Evaluating machine learning approaches for sentiment analysis. Results in Control and Optimization, 19, 100575.
- Li, S., He, Y., & Salling, M. (2021). Strategic rationing and freshness keeping of perishable products under transportation disruptions and demand learning. Complex & Intelligent Systems, 8, 4513–4527. https://doi.org/10.1007/s40747-021-00492-w
- Liu, C., Chen, T., Pu, Q., & Jin, Y. (2025). Text mining for consumers’ sentiment tendency and strategies for promoting cross-border e-commerce marketing using consumers’ online review data. Journal of Theoretical and Applied Electronic Commerce Research, 20(2), 125.
- Liu, C., & Hou, P. (2023). Dynamic modelling of cold chain logistics services under budget constraints for the delivery of fresh products in an urban area. Applied Mathematical Modelling. https://doi.org/10.1016/j.apm.2023.09.019
- Monoarfa, T. A., Sumarwan, U., Suroso, A. I., & Wulandari, R. (2024). The crucial role of e-logistic service quality to integrated theories to predict continuance intention on fresh produce e-commerce. Cogent Business & Management, 11(1), 2379569.
- Nuralam, I. P., Yudiono, N., Fahmi, M. R. A., Yuliaji, E. S., & Hidayat, T. (2024). Perceived ease of use, perceived usefulness, and customer satisfaction as driving factors on repurchase intention: the perspective of the e-commerce market in Indonesia. Cogent Business & Management, 11(1), 2413376.
- Pal, A., & Kant, K. (2019). Internet of Perishable Logistics: Building Smart Fresh Food Supply Chain Networks. IEEE Access, 7, 17675–17695. https://doi.org/10.1109/access.2019.2894126
- Pal, A., & Kant, K. (2020). Smart Sensing, Communication, and Control in Perishable Food Supply Chain. ACM Transactions on Sensor Networks (TOSN), 16, 1–41. https://doi.org/10.1145/3360726
- Pangestu, A. B., & Setiyaningrum, A. (2023). Faktor-faktor penentu repurchase intention pada produk shopping di e-commerce. Jurnal Manajemen Maranatha, 23(1), 79–98.
- Tsang, Y., Wu, C.-H., Lam, H., Choy, K., & Ho, G. (2020). Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application. International Journal of Production Research, 59, 1534–1556. https://doi.org/10.1080/00207543.2020.1841315
- Wang, G. (2025). Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. PLOS ONE, 20. https://doi.org/10.1371/journal.pone.0318519
- Wang, X., Sun, X., Dong, J., Wang, M., & Ruan, J. (2017). Optimizing Terminal Delivery of Perishable Products considering Customer Satisfaction. Mathematical Problems in Engineering, 2017, 1–12. https://doi.org/10.1155/2017/8696910
- Wu, M., Gao, J., Hayat, N., Long, S., Yang, Q., & Mamun, A. Al. (2024). Modelling the significance of food delivery service quality on customer satisfaction and reuse intention. PLOS ONE, 19. https://doi.org/10.1371/journal.pone.0293914
References
Ela elliyana et.al. (2022). Costumer Behaviour. In A. H. Nadana (Ed.), Ahlimedia press (1st ed.). Ahlimedia Press. https://isbn.perpusnas.go.id/kdt/ViewKdt?id=0422000767
Elliyana, E., Hastuti, P., Moh Sabran, A., & Rahman, A. (2022). Literatur Review: Costumer Experience in Financial Technologi. Jurnal Administrasi Kantor, 10, 134–143.
Gulc, A. (2021). Multi-stakeholder perspective of courier service quality in B2C e-commerce. PLoS ONE, 16. https://doi.org/10.1371/journal.pone.0251728
Kumar, A., Chakraborty, S., & Bala, P. K. (2023). Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews. Journal of Retailing and Consumer Services, 73, 103363.
Lakshmi, L., Ali, A. B. M., Devi, K. D. S., Rafiq, M., Shernazarov, I., Othman, N. A., & Khan, M. I. (2025). Opinion mining in e-commerce: Evaluating machine learning approaches for sentiment analysis. Results in Control and Optimization, 19, 100575.
Li, S., He, Y., & Salling, M. (2021). Strategic rationing and freshness keeping of perishable products under transportation disruptions and demand learning. Complex & Intelligent Systems, 8, 4513–4527. https://doi.org/10.1007/s40747-021-00492-w
Liu, C., Chen, T., Pu, Q., & Jin, Y. (2025). Text mining for consumers’ sentiment tendency and strategies for promoting cross-border e-commerce marketing using consumers’ online review data. Journal of Theoretical and Applied Electronic Commerce Research, 20(2), 125.
Liu, C., & Hou, P. (2023). Dynamic modelling of cold chain logistics services under budget constraints for the delivery of fresh products in an urban area. Applied Mathematical Modelling. https://doi.org/10.1016/j.apm.2023.09.019
Monoarfa, T. A., Sumarwan, U., Suroso, A. I., & Wulandari, R. (2024). The crucial role of e-logistic service quality to integrated theories to predict continuance intention on fresh produce e-commerce. Cogent Business & Management, 11(1), 2379569.
Nuralam, I. P., Yudiono, N., Fahmi, M. R. A., Yuliaji, E. S., & Hidayat, T. (2024). Perceived ease of use, perceived usefulness, and customer satisfaction as driving factors on repurchase intention: the perspective of the e-commerce market in Indonesia. Cogent Business & Management, 11(1), 2413376.
Pal, A., & Kant, K. (2019). Internet of Perishable Logistics: Building Smart Fresh Food Supply Chain Networks. IEEE Access, 7, 17675–17695. https://doi.org/10.1109/access.2019.2894126
Pal, A., & Kant, K. (2020). Smart Sensing, Communication, and Control in Perishable Food Supply Chain. ACM Transactions on Sensor Networks (TOSN), 16, 1–41. https://doi.org/10.1145/3360726
Pangestu, A. B., & Setiyaningrum, A. (2023). Faktor-faktor penentu repurchase intention pada produk shopping di e-commerce. Jurnal Manajemen Maranatha, 23(1), 79–98.
Tsang, Y., Wu, C.-H., Lam, H., Choy, K., & Ho, G. (2020). Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application. International Journal of Production Research, 59, 1534–1556. https://doi.org/10.1080/00207543.2020.1841315
Wang, G. (2025). Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. PLOS ONE, 20. https://doi.org/10.1371/journal.pone.0318519
Wang, X., Sun, X., Dong, J., Wang, M., & Ruan, J. (2017). Optimizing Terminal Delivery of Perishable Products considering Customer Satisfaction. Mathematical Problems in Engineering, 2017, 1–12. https://doi.org/10.1155/2017/8696910
Wu, M., Gao, J., Hayat, N., Long, S., Yang, Q., & Mamun, A. Al. (2024). Modelling the significance of food delivery service quality on customer satisfaction and reuse intention. PLOS ONE, 19. https://doi.org/10.1371/journal.pone.0293914