Dari Gaya Tanggapan hingga Niat Membeli Kembali: Peran Akurasi Empati dan Kepuasan Pelanggan dalam Interaksi Chatbot Shopee
DOI:
https://doi.org/10.38035/jimt.v7i4.8006Keywords:
chatbot, Gaya Respon, akurasi empati, kepuasan pelanggan, niat pembelian ulangAbstract
Artikel ini berjudul “From Response Style to Repurchase Intention: The Role of Empathic Accuracy and Customer Satisfaction in Shopee Chatbot Interactions.” Perkembangan layanan pelanggan berbasis kecerdasan buatan mendorong penggunaan chatbot sebagai titik kontak utama dalam interaksi pelanggan pada platform e-commerce; namun demikian, masih terdapat keluhan terkait ketepatan empati dan kualitas interaksi layanan digital. Penelitian ini bertujuan untuk menganalisis pengaruh gaya respon chatbot terhadap akurasi empati, kepuasan pelanggan, dan niat pembelian ulang pada pengguna Shopee di Indonesia sebagai objek penelitian. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Data dikumpulkan dari pengguna Shopee yang termasuk dalam Generasi Y dan Generasi Z, kemudian dianalisis menggunakan metode structural equation modeling berbasis varians. Hasil penelitian menunjukkan bahwa gaya respon chatbot berpengaruh positif terhadap akurasi empati dan kepuasan pelanggan. Akurasi empati berpengaruh positif terhadap kepuasan pelanggan, serta kepuasan pelanggan berpengaruh positif terhadap niat pembelian ulang. Selain itu, akurasi empati dan kepuasan pelanggan berperan sebagai variabel mediasi dalam hubungan antara gaya respon chatbot dan niat pembelian ulang. Temuan ini menegaskan pentingnya perancangan interaksi chatbot yang empatik untuk memperkuat keberlanjutan perilaku pembelian pelanggan pada platform e-commerce.
References
Bablast.id. (2025, March 10). Shopee maksimalkan layanan pelanggan lewat chatbot, ini dampaknya. https://www.bablast.id/shopee-chatbot-layanan-pelanggan
Badan Pusat Statistik. (2024). Statistik e-commerce Indonesia 2024. BPS Republik Indonesia. https://www.bps.go.id
Badan Pusat Statistik. (2025). Statistik telekomunikasi Indonesia 2024. BPS Republik Indonesia. https://www.bps.go.id
Cao, B., Li, Z., & Jiang, L. C. (2024). When chatbots make errors: Cognitive and affective pathways to understanding forgiveness of chatbot errors. Telematics and Informatics, 94, 102189. https://doi.org/10.1016/j.tele.2024.102189
Chang, Y. P., & Li, J. (2022). Seamless experience in the context of omnichannel shopping: Scale development and empirical validation. Journal of Retailing and Consumer Services, 64, 102800. https://doi.org/10.1016/j.jretconser.2021.102800
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
Gelbrich, K., Hagel, J., & Orsingher, C. (2021). Emotional support from a digital assistant in technology-mediated services: Effects on customer satisfaction and behavioral persistence. International Journal of Research in Marketing, 38(1), 176–193. https://doi.org/10.1016/j.ijresmar.2020.06.004
Guo, L., Gong, L., Xu, Z., Wang, W., & Chen, M. H. (2024). The role of service robots in enhancing customer satisfaction in embarrassing contexts. Journal of Hospitality and Tourism Management, 59, 116–126. https://doi.org/10.1016/j.jhtm.2024.04.008
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hu, Y., & Sun, Y. (2023). Understanding the joint effects of internal and external anthropomorphic cues of intelligent customer service bot on user satisfaction. Data and Information Management, 7(3), 100047. https://doi.org/10.1016/j.dim.2023.100047
Jakpat Insight. (2024). 62% Gen Z bertransaksi melalui e-commerce di 2024. https://jakpat.net/gen-z-ecommerce-survey-2024
Juquelier, A., Poncin, I., & Hazée, S. (2025). Empathic chatbots: A double-edged sword in customer experiences. Journal of Business Research, 188. https://doi.org/10.1016/j.jbusres.2024.115074
Le, D. T., Zhang, J., & Wang, Y. (2023). Empathic accuracy in AI-based service interactions and customer satisfaction. Journal of Service Research, 26(3), 412–428.
Le, D., Nguyen, H., & Chen, C.-C. (2023a). Emotion and trust in virtual service assistant design for effective service recovery. Computers in Human Behavior, 146, 107781. https://doi.org/10.1016/j.chb.2023.107781
Le, H. T. P. M., Park, J., & Lee, S. (2023a). Emotion and trust in virtual service assistant design for effective service recovery. Journal of Retailing and Consumer Services, 74. https://doi.org/10.1016/j.jretconser.2023.103368
Li, M., & Wang, R. (2023). Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand. Journal of Retailing and Consumer Services, 71, 103209. https://doi.org/10.1016/j.jretconser.2022.103209
Markovitch, D. G., Stough, R. A., & Huang, D. (2024). Consumer reactions to chatbot versus human service: An investigation in the role of outcome valence and perceived empathy. Journal of Retailing and Consumer Services, 79, 103847. https://doi.org/10.1016/j.jretconser.2024.103847
Ma, R., & Wang, W. (2021). Smile or pity? Examine the impact of emoticon valence on customer satisfaction and purchase intention. Journal of Business Research, 134, 443–456. https://doi.org/10.1016/j.jbusres.2021.05.057
Malhotra, N. K. (2010). Marketing research: An applied orientation (6th ed.). Pearson Education.
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
Prassida, G. F., & Hsu, P. Y. (2022). The harmonious role of channel integration and logistics service in omnichannel retailing: The case of IKEA. Journal of Retailing and Consumer Services, 68, 103030. https://doi.org/10.1016/j.jretconser.2022.103030
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2019). Treating unobserved heterogeneity in PLS-SEM: A multi-method approach. In Partial least squares structural equation modeling: Recent advances in PLS (pp. 197–217). Springer.
Shopee. (2024). Ketentuan layanan chatbot. https://help.shopee.co.id/portal/4/article/157934-Ketentuan-Layanan-Chatbot
SimilarWeb. (2024). Top e-commerce platforms in Indonesia by traffic, February 2024. https://www.similarweb.com
Zhang, J., Chen, Q., Lu, J., Wang, X., Liu, L., & Feng, Y. (2024a). Emotional expression by artificial intelligence chatbots to improve customer satisfaction: Underlying mechanism and boundary conditions. Tourism Management, 100. https://doi.org/10.1016/j.tourman.2023.104835
Zhang, J., Lu, J., Wang, X., Liu, L., & Feng, Y. (2024). Emotional expressions of care and concern by customer service chatbots: Improved customer attitudes despite perceived inauthenticity. Decision Support Systems, 186. https://doi.org/10.1016/j.dss.2024.114314
Zhang, P., Chao, C.-W. F., Aljaroodi, H. M., & Tian, F. (2023). Effects of in-store live stream on consumers’ offline purchase intention. Journal of Retailing and Consumer Services, 70, 103262. https://doi.org/10.1016/j.jretconser.2023.103262
Zhang, S., Song, Y., Guo, D., Ren, A., 2024. The effects of relational bonds on purchasing intention in the live streaming context: the moderating role of platform type. J. Promot. Manag. 30 (5), 707–736.
Zhang, X., Li, Y., Wang, Y., & Chen, J. (2024). Social responses to AI-based customer service: Examining chatbot interaction effects through the S–O–R framework. Journal of Business Research, 170, 114303.
Zhou, Q., Li, B., Han, L., & Jou, M. (2023). Talking to a bot or a wall? How chatbots vs. human agents affect anticipated communication quality. Computers in Human Behavior, 143. https://doi.org/10.1016/j.chb.2023.107674
Zhou, F., Mou, J., Su, Q., & Wu, Y. (2023). How empathic AI chatbots shape customer perceptions. Electronic Commerce Research and Applications, 58, 101126. https://doi.org/10.1016/j.elerap.2023.101126
Zhu, Y., Zhang, J., & Liang, J. (2023). Concrete or abstract: How chatbot response styles influence customer satisfaction. Electronic Commerce Research and Applications, 62, 101317. https://doi.org/10.1016/j.elerap.2023.101317
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ahsan Barra Syarafa, Ahmad Ikhwan Setiawan

This work is licensed under a Creative Commons Attribution 4.0 International License.
Penulis yang mempublikasikan manuskripnya di jurnal ini menyetujui ketentuan berikut:
- Hak cipta pada setiap artikel adalah milik penulis.
- Penulis mengakui bahwaJurnal Ilmu Manajemen Terapan (JIMT) berhak menjadi yang pertama menerbitkan dengan lisensi Creative Commons Attribution 4.0 International (Attribution 4.0 International CC BY 4.0) .
- Penulis dapat mengirimkan artikel secara terpisah, mengatur distribusi non-eksklusif manuskrip yang telah diterbitkan dalam jurnal ini ke versi lain (misalnya, dikirim ke repositori institusi penulis, publikasi ke dalam buku, dll.), dengan mengakui bahwa manuskrip telah diterbitkan pertama kali di Jurnal Ilmu Manajemen Terapan (JIMT).












































