Pengaruh Integrasi Live Shopping Shopee terhadap Retensi Pelanggan dan Peningkatan Volume Penjualan UMKM dengan Mediasi Engagement Rate

Authors

  • Novera Wandira Universitas Siguntang Mahaputra
  • Dina Ratiana Universitas Siguntang Mahaputra

DOI:

https://doi.org/10.55606/jupsim.v5i1.6222

Keywords:

Customer Retention, Engagement Rate, Live Shopping, MSMEs, Social Commerce

Abstract

This study examines the impact of the integration of Shopee's Live Shopping feature on customer retention and the increase in sales volume for Micro, Small, and Medium Enterprises (MSMEs), with engagement rate as a mediating variable. The approach used is quantitative associative with Structural Equation Modeling-Partial Least Squares (SEM-PLS) analysis. Data was collected from 100 active MSME sellers on the Shopee Live platform through an online questionnaire. The results show that the live shopping feature significantly enhances customer engagement through real-time interactions, which in turn contributes to increased customer retention rates and sales volume. The engagement rate, measured through the comment-to-view ratio, share ratio, and average watch duration, plays an important role as a mediator in this relationship. This study contributes to the growing literature on live commerce by providing empirical evidence from Indonesia's e-commerce ecosystem. Furthermore, the study offers practical insights for MSMEs to optimize their digital marketing strategies, particularly in the context of interactive social commerce in today's digital era.

References

Antara News. (2024). Shopee Live catat penjualan 1 miliar produk UMKM sepanjang 2024.

AnyMind Group. (2025). Live Commerce is the shortcut to winning customers in 2025.

Arisman, A., & Sitinjak, M. F. (2023). Does live stream selling affect customer engagement and purchase intention? The Shopee Live platform case study. ASEAN Marketing Journal, 14(2), 1–15. https://doi.org/10.21002/amj.v14i2.1

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Etha, E., Fauzi, A., & Suryani, T. (2023). Factors influencing online repurchase intention in Indonesia’s e-commerce: Applying the theory of reasoned action. Journal of Socio-Economic on Tropical Agriculture, 5(2), 215–228.

Firework. (2025). The $600 billion revolution changing e-commerce: Top livestream shopping statistics.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107. https://doi.org/10.1093/biomet/61.1.101

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage Publications. https://doi.org/10.1007/978-3-030-80519-7

Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). Guilford Press.

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

Herzallah, F., Mukhtar, M., Kalbouneh, H., & Alshareef, M. (2025). Social commerce attributes, customer engagement and repurchase intention in social commerce platforms: A stimulus–organism–response approach. Journal of Open Innovation: Technology, Market, and Complexity, 11(1), 100411. https://doi.org/10.1016/j.joitmc.2025.100411

Ho, C.-I., & Lee, Y.-L. (2022). An application of the stimulus–organism–response paradigm: Examining the relationship between the 7Ps marketing mix and consumers’ attitudes in live streaming commerce. Cogent Business & Management, 9(1), 2145673. https://doi.org/10.1080/23311975.2022.2145673

Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131

Liu, J., Zheng, D., & Wang, X. (2023). The effect of e-commerce livestreaming services on customer loyalty: A test of the chain mediation model. Electronic Commerce Research and Applications, 57, 101217. https://doi.org/10.1016/j.elerap.2022.101217

Luo, X., Cheng, H., & Zhang, J. (2025). Live streaming commerce: A review and research agenda. Journal of Interactive Marketing, 60(1), 1–20.

Marketing.co.id. (2024). Dominasi Shopee Live di tengah sengitnya persaingan live streaming e-commerce.

Mubdir, G. A., Hashim, S., Ayob, A. H., & Rosli, N. (2025). Exploring customer engagement in social commerce: A literature review of frameworks, pathways, and emerging trends. Engineering, Technology & Applied Science Research, 15(2), 21805–21815. https://doi.org/10.48084/etasr.9452

Munif, M., & Sulistiyowati, W. (2025). Promoting fashion stores on Shopee: Effective strategies using live streaming features. Indonesia Business Management Journal, 7(1), 15–27.

Putri, N. A., & Maftukhah, I. (2024). The effect of Shopee Live content marketing on customer retention through customer engagement. Journal of Islamic Economics Management and Business, 4(1), 113–126.

Rusli, A., & Hermansyur, H. (2024). The impact of Shopee Live on sales performance: An analysis of real-time interaction and consumer engagement. PROCURATIO: Jurnal Manajemen & Bisnis, 2(4), 558–571.

Saputra, M. E. (2023). The effect of customer experience on customer loyalty mediated by customer satisfaction in e-commerce. Journal of Economics, Business and Law, 2(2), 139–148.

Shopee. (2024). Shopee Live data report 2024.

Shopify. (2025). How to improve ecommerce customer retention (2025).

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society: Series B (Methodological), 36(2), 111–133. https://doi.org/10.1111/j.2517-6161.1974.tb00994.x

Streukens, S., & Leroi-Werelds, S. (2016). Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results. European Management Journal, 34(6), 618–632. https://doi.org/10.1016/j.emj.2016.06.003

Wahyuni, A. C., Masnita, Y., & Kurniawati, K. (2025). Social learning theory in customer engagement to increase impulsive buying behavior. Journal of Management: Small and Medium Enterprises (SMEs), 18(1). https://doi.org/10.35508/jom.v18i1.17971

Zheng, R., Li, Z., & Na, S. (2022). How customer engagement in the live-streaming affects purchase intention and customer acquisition, E-tailer’s perspective. Technological Forecasting and Social Change, 177, 121513. https://doi.org/10.1016/j.techfore.2022.121513

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Published

2026-01-09

How to Cite

Wandira, N., & Dina Ratiana. (2026). Pengaruh Integrasi Live Shopping Shopee terhadap Retensi Pelanggan dan Peningkatan Volume Penjualan UMKM dengan Mediasi Engagement Rate. Jurnal Publikasi Sistem Informasi Dan Manajemen Bisnis, 5(1), 311–323. https://doi.org/10.55606/jupsim.v5i1.6222