Automated Social Commerce Workflow: Analisis Efektivitas Sistem Shopee Affiliate dalam Mengotomatisasi Promosi, Pengelolaan Link, dan Konversi Penjualan
DOI:
https://doi.org/10.32670/jc.v2i1.42Keywords:
social commerce, affiliate marketing, automated workflow, digital marketing, Shopee AffiliateAbstract
Introduction of social commerce has changed the digital trade system in Indonesia and Shopee Affiliate is one of the platforms
that uses automatic workflow to increase the effectiveness in promoting a product. The objective of this study is to determine
the extent to which the Shopee Affiliate system can automate these three key components, i.e., product promotion, affiliate
link management and sales conversion. Qualitative research with case study design was conducted and the data were gathered through platform observation, interviews with active affiliate marketers, and examination of system documents. It was found from results that the automated process of Shopee Affiliate increases promotional efficiency by using product recommendation engine, easy to track and manage links with the help of integrated dashboard and boost sales conversion compared to manually link promotion. However, some limitations were highlighted including the reliance on platform algorithms and the presence of a learning curve in how to optimize promotional strategies. This study improves our understanding of the impact of automation on social commerce and suggests insights for affiliate marketers to explore how they can better utilize automated workflow systems.
References
Ammetller, G., Castillo-Sánchez, G., & Peris, M. (2025). Flowing Through Social Commerce: A
Systematic Review and Research Agenda. International Journal of Consumer Studies, 49(1),
e70148.
Hidayat, R., & Susanti, L. (2020). Pengaruh Ulasan Online dan Kepercayaan Terhadap Keputusan
Pembelian Produk E-Commerce. Jurnal Ekonomi dan Bisnis Digital, 4(3), 112-128.
Hidayat, W., & Kholik, N. (2024). Jeratan Social Commerce: Matinya Masa Depan UMKM di
Indonesia Studi Kasus TikTok Shop di Indonesia. Jurnal Hukum dan Ekonomi Digital, 2(1),
45-67.
iPrice Group & Jakpat. (2022). Peta E-Commerce Indonesia. Jakarta: iPrice Group.
Luthfiansyah, A., Saputra, T., Haikal, M. M., & Sanjaya, V. F. (2024). Memaksimalkan Potensi AI
untuk Meningkatkan Pertumbuhan Penjualan E-Commerce. Al-A'Mal: Jurnal Manajemen
Bisnis Syariah, 1(2), 184-196.
Messaoudi, F., & Loukili, M. (2024). E-Commerce Personalized Recommendations: A Deep Neural
Collaborative Filtering Approach. Operations Research Forum, 5(1), 5.
Mudjahidin, Sholichah, N. L., Aristio, A. P., Junaedi, L., Saputra, Y. A., & Wiratno, S. E. (2022).
Purchase Intention Through Search Engine Marketing: E-marketplace Provider in Indonesia.
Procedia Computer Science, 197, 445-452.
Oktaviani, D., Terisha, F., Ayuni, M., Sembiring, T., Lie, W., & Yeo, E. (2023). Analisis Dampak
Kecerdasan Buatan dalam Peningkatan Efisiensi Pemasaran Digital di Industri E-Commerce
Indonesia. Jurnal Teknologi Informasi dan Bisnis, 8(2), 156-172.
Pratama, R. A., Widodo, S., & Iskandar, T. (2024). Evaluasi Kesiapan Digitalisasi pada Perusahaan
Menengah di Indonesia. Jurnal Teknologi dan Sistem Informasi, 10(1), 21-29.
Ramadhan, I., & Amelia, R. (2023). Implementasi Artificial Intelligence dalam Pengembangan
Pemasaran Digital. Jurnal Inovasi Digital, 6(3), 78-94.
Saragih, J. R. S., Simanjuntak, M., & Tarigan, R. (2024). Pengaruh Penggunaan Social-Commerce
(TikTok Shop) Terhadap Gaya Hidup Konsumtif Generasi-Z. MESIR: Journal of Management
Education Social Sciences Information and Religion, 1(2), 88-102.
Saputra, R., & Handayani, M. (2023). Pemanfaatan AI dalam E-Commerce B2B: Strategi Personal
Branding dan Automasi Kampanye. Jurnal Ekonomi Digital Indonesia, 4(2), 90-105.
Shopee Indonesia. (2023). Panduan Shopee Affiliate Program. Diakses dari
https://affiliate.shopee.co.id
Statista. (2024). Social Commerce Market in Indonesia 2020-2028. Hamburg: Statista GmbH.
Wang, Y., Wang, J., & Yao, T. (2022). What Drives Purchase in Live Streaming Commerce? Journal
of Electronic Commerce Research, 23(2), 144-167.
We Are Social & Hootsuite. (2023). Digital 2023: Indonesia. Singapore: We Are Social.
Xu, Z., Chen, X., & Liu, Y. (2022). E-Commerce Online Shopping Platform Recommendation
Model Based on Integrated Personalized Recommendation. Scientific Programming, 2022,
4823828.
Zhang, K. Z., & Benyoucef, M. (2024). Strategic Adoption of the Recommender System Under
Online Retailer Competition and Consumer Search. Journal of Open Innovation: Technology,
Market, and Complexity, 10(1), 100218.
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