Main Article Content
Abstract
Penelitian ini mereplikasi dari paper referensi utama “Impulse buying tendency in
live-stream commerce” dengan mengalihkan fokus dari live-stream commerce secara
umum ke platform TikTok Shop Live di Indonesia, karena platform ini mengalami
pertumbuhan signifikan dan menjadi favorit generasi muda. Berdasarkan data We Are
Social (2024), lebih dari 70% pengguna TikTok di Indonesia berusia 16–24 tahun, dan 1
dari 3 pengguna TikTok mengaku pernah berbelanja langsung dari fitur live streaming.
Populasi penelitian disesuaikan ke pengguna Indonesia berusia 17–25 tahun untuk
meningkatkan relevansi konteks. Selain itu, instrumen survei diterjemahkan dan diadaptasi
menggunakan bahasa yang lebih akrab secara lokal agar mudah dipahami. Fokus tetap
pada variabel utama—frekuensi menonton, kecenderungan pembelian impulsif, emosi
yang diantisipasi, dan keputusan pembelian—namun diterapkan dalam skenario promo
kelangkaan khas TikTok Shop. Dengan perubahan ini, penelitian menjadi lebih kontekstual
dan memberika
Keywords
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
- Andika, A., Anisah, T. N., Najmudin, M., & Sardi, A. E. (2023). From interaction to transaction: Analyzing the influence of social presence on impulsive purchasing in live streaming commerce. Jurnal Manajemen Teori danTerapan,16(3).https://e-journal.unair.ac.id/JMTT/article/view/43063
- Ardiyanti, V. D. (2023). The effect of TikTok live streaming shopping on impulse buying behavior in the 2023 global crisis. Asian Journal of Logistics Management, 2(1).https://ejournal.undip.ac.id/index.php/ajlm/article/view/44662
- Carissa, R. (2024). Analisis pengaruh live streaming, hedonic shopping motivation, price discount terhadap impulse buying (Studi pada Generasi Z pengguna social commerce TikTok). eCo-Buss, 7(1). https://mebis.upnjatim.ac.id/index.php/mebis/article/view/2071
- Chunga, X. L., Yasmin, F., Haider, S. A., Sinnappan, P., Poulova, P., Baskaran, S., Tehseen, S., & Idris, I. (2025). Impulsive buying behaviour in live-streaming commerce: An application of S-O-R theory. Cogent SocialSciences,11(1).https://www.tandfonline.com/doi/full/10.1080/23311886.2025.2251347
- Lin, S.-C., Tseng, H.-T., Shirazi, F., Hajli, N., & Tsai, P.-T. (2023). Exploring factors influencing impulse buying in livestreaming shopping: A stimulus-organism-response (SOR) perspective. Asia Pacific Journal of Marketing andLogistics,35(6)1383–1403.https://doi.org/10.1108/APJML-10-2022-0822
- Lo, C. K. Y., & Cheng, T. C. E. (2022). Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis. Journal of Business Research, 147, 325–337. https://doi.org/10.1016/j.jbusres.2022.04.040
- Petrova, E., Gonzalez, M. I., & López, M. (2022). The impact of anticipated emotions on purchase decisions in digital commerce. Journal of Consumer Behaviour, 21(5), 923–936.
- Qu, Y., Khan, J., Su, Y., Tong, J., & Zhao, S. (2023). Impulse buying tendency in live-stream commerce: The role of viewing frequency and anticipated emotions influencing scarcity-induced purchase decision. Journal of Retailing and Consumer Services, 75,103534.https://doi.org/10.1016/j.jretconser.2023.103534
- Ramadhani, L. N., & Nugroho, D. A. (2024). Pengaruh live streaming, flash sale, dan hedonic shopping motivation terhadap impulsive buying. Jurnal Manajemen Pemasaran dan Perilaku Konsumen (JMPPUB),3(1).https://jurnal.ub.ac.id/index.php/jmppk/article/view/5029
- Sasongko, M. W., & Artanti, Y. (2024). Study of impulse buying on live streaming: Effects of hedonic shopping motivation and sales promotion. Jurnal Mebis, 9(1), 17–27.https://mebis.upnjatim.ac.id/index.php/mebis/article/view/1917
- Sipur, S., & Amadi, J. (2024). Impulsive buying in live streaming commerce: The role of flow experience, parasocial interaction and immersion relationship. Journal of Science and Education, 5(2). https://journal.unesa.ac.id/index.php/jei/article/view/17991
- Sun, Y., & Bao, Z. (2023). Live streaming commerce: A compulsive buying perspective. Management Decision,61(11),3278–3294.https://doi.org/10.1108/MD-05-2022-0714
- Santikawati, W., & Fikriyah, K. (2022). Analisis faktor yang mempengaruhi keputusan pembelian konsumen Muslim di TikTok Shop. Program Studi Ekonomi Islam, Fakultas Ekonomika dan Bisnis, Universitas Negeri Surabaya.
- Nurhaliza, P., & Kusumawardhani, A. (2023). Analisis pengaruh live streaming shopping, price discount, dan ease of payment terhadap impulse buying (Studi pada pengguna platform media sosial TikTok Indonesia). Departemen Manajemen, Fakultas Ekonomika dan Bisnis, Universitas Diponegoro.
- Darullah, M. D., & Tanamal, R. (2023). Faktor yang paling mempengaruhi keputusan dalam menggunakan TikTok Shop. Program Studi Information System for Business, Universitas Ciputra.
- Liu, J., Zhang, M., & Wang, C. (2022). The impact of social presence on impulsive buying behavior in livestream shopping. Journal of Retailing and ConsumerServices,66,102943.https://doi.org/10.1016/j.jretconser.2021.102943
- Zhang, Q., & Yu, H. (2023). Exploring the emotional pathway in online impulse buying: Anticipated regret and rejoice in livestream commerce. Electronic Commerce Research and Applications, 55, 101215.
- Huang, M., Xu, S., & Zhou, X. (2022). Scarcity promotion and emotional response: A dual-path model in live streaming context. Computers in Human Behavior Reports, 7, 100203
- Feng, W., Li, R., & Chen, Y. (2023). Scarcity cues and consumer behavior: Application of S-O-R model in digital shopping platforms. Journal of Consumer Behaviour, 22(1), 45–57.
- Hair, J.F., Howard, M.C., & Nitzl, C. (2021). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110.
- Sarstedt, M., Ringle, C.M., Cheah, J.H., Ting, H., Moisescu, O.I., & Radomir, L. (2022). Structural model evaluation in PLS-SEM using R: An empirical illustration. Advances in International Marketing, 32, 139–177.
- Sarstedt, M., Ringle, C. M., & Hair, J. F. (2023). Evaluating PLS-SEM Models: A Contemporary Approach. Journal of Quantitative Marketing, 45(2), 145–161.
- Chin, W. W., & Newsted, P. R. (2022). Modern Applications of Effect Size in Structural Equation Modeling. Journal of Advanced Business Analytics, 18(3), 77–94.
- Hair, J. F., Howard, M. C., & Nitzl, C. (2022). Model Fit Indices in PLS-SEM: Best Practices and Benchmarks. Journal of Business Research and Analysis, 39(1), 25–41.
- Lee, Y., Kwon, O., & Park, J. (2021). Revisiting the Goodness-of-Fit in PLS-SEM: Guidelines for Applied Research. Journal of Information Systems Research, 33(4), 789–808.
- Saini, R., & Singh, T. (2022). Detecting and Controlling Common Method Bias in Survey-Based Research. Journal of Business Research, 145, 102–115.
- Yousaf, U., & Yang, M. (2023). A Modern Approach to Common Method Bias in Structural Equation Modeling. Management Research Review, 46(3), 456–470.
- Kock, N., & Hadaya, P. (2021). Minimum Sample Size Estimation in PLS-SEM: The Inverse Square Root and Gamma-Exponential Methods. Information Systems Journal, 31(4), 800–823.
- Aziz, N., & Wang, Y. (2023). Understanding Impulse Buying and Response Timing Bias: Evidence from Online Surveys. International Journal of Consumer Studies, 47(1), 55–67.
- Farrell, A. M., & Rudd, J. M. (2022). Examining multicollinearity and common method bias in partial least squares SEM: Perspectives from business and marketing research. European Business Review, 34(2), 199–215.
- Zhou, Y., Zhang, X., & Wang, L. (2023). Handling nonresponse bias in online surveys: A comparative evaluation. Social Science Computer Review, 41(1), 88–102.
- Lee, H., & Kim, S. (2021). Investigating impulsive buying behavior in mobile commerce. Journal of Retailing and Consumer Services, 62, 102650.
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2022). Advancing PLS-SEM: A study on measurement modelassessment. Journal of Business Research, 142, 727–739.
References
Andika, A., Anisah, T. N., Najmudin, M., & Sardi, A. E. (2023). From interaction to transaction: Analyzing the influence of social presence on impulsive purchasing in live streaming commerce. Jurnal Manajemen Teori danTerapan,16(3).https://e-journal.unair.ac.id/JMTT/article/view/43063
Ardiyanti, V. D. (2023). The effect of TikTok live streaming shopping on impulse buying behavior in the 2023 global crisis. Asian Journal of Logistics Management, 2(1).https://ejournal.undip.ac.id/index.php/ajlm/article/view/44662
Carissa, R. (2024). Analisis pengaruh live streaming, hedonic shopping motivation, price discount terhadap impulse buying (Studi pada Generasi Z pengguna social commerce TikTok). eCo-Buss, 7(1). https://mebis.upnjatim.ac.id/index.php/mebis/article/view/2071
Chunga, X. L., Yasmin, F., Haider, S. A., Sinnappan, P., Poulova, P., Baskaran, S., Tehseen, S., & Idris, I. (2025). Impulsive buying behaviour in live-streaming commerce: An application of S-O-R theory. Cogent SocialSciences,11(1).https://www.tandfonline.com/doi/full/10.1080/23311886.2025.2251347
Lin, S.-C., Tseng, H.-T., Shirazi, F., Hajli, N., & Tsai, P.-T. (2023). Exploring factors influencing impulse buying in livestreaming shopping: A stimulus-organism-response (SOR) perspective. Asia Pacific Journal of Marketing andLogistics,35(6)1383–1403.https://doi.org/10.1108/APJML-10-2022-0822
Lo, C. K. Y., & Cheng, T. C. E. (2022). Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis. Journal of Business Research, 147, 325–337. https://doi.org/10.1016/j.jbusres.2022.04.040
Petrova, E., Gonzalez, M. I., & López, M. (2022). The impact of anticipated emotions on purchase decisions in digital commerce. Journal of Consumer Behaviour, 21(5), 923–936.
Qu, Y., Khan, J., Su, Y., Tong, J., & Zhao, S. (2023). Impulse buying tendency in live-stream commerce: The role of viewing frequency and anticipated emotions influencing scarcity-induced purchase decision. Journal of Retailing and Consumer Services, 75,103534.https://doi.org/10.1016/j.jretconser.2023.103534
Ramadhani, L. N., & Nugroho, D. A. (2024). Pengaruh live streaming, flash sale, dan hedonic shopping motivation terhadap impulsive buying. Jurnal Manajemen Pemasaran dan Perilaku Konsumen (JMPPUB),3(1).https://jurnal.ub.ac.id/index.php/jmppk/article/view/5029
Sasongko, M. W., & Artanti, Y. (2024). Study of impulse buying on live streaming: Effects of hedonic shopping motivation and sales promotion. Jurnal Mebis, 9(1), 17–27.https://mebis.upnjatim.ac.id/index.php/mebis/article/view/1917
Sipur, S., & Amadi, J. (2024). Impulsive buying in live streaming commerce: The role of flow experience, parasocial interaction and immersion relationship. Journal of Science and Education, 5(2). https://journal.unesa.ac.id/index.php/jei/article/view/17991
Sun, Y., & Bao, Z. (2023). Live streaming commerce: A compulsive buying perspective. Management Decision,61(11),3278–3294.https://doi.org/10.1108/MD-05-2022-0714
Santikawati, W., & Fikriyah, K. (2022). Analisis faktor yang mempengaruhi keputusan pembelian konsumen Muslim di TikTok Shop. Program Studi Ekonomi Islam, Fakultas Ekonomika dan Bisnis, Universitas Negeri Surabaya.
Nurhaliza, P., & Kusumawardhani, A. (2023). Analisis pengaruh live streaming shopping, price discount, dan ease of payment terhadap impulse buying (Studi pada pengguna platform media sosial TikTok Indonesia). Departemen Manajemen, Fakultas Ekonomika dan Bisnis, Universitas Diponegoro.
Darullah, M. D., & Tanamal, R. (2023). Faktor yang paling mempengaruhi keputusan dalam menggunakan TikTok Shop. Program Studi Information System for Business, Universitas Ciputra.
Liu, J., Zhang, M., & Wang, C. (2022). The impact of social presence on impulsive buying behavior in livestream shopping. Journal of Retailing and ConsumerServices,66,102943.https://doi.org/10.1016/j.jretconser.2021.102943
Zhang, Q., & Yu, H. (2023). Exploring the emotional pathway in online impulse buying: Anticipated regret and rejoice in livestream commerce. Electronic Commerce Research and Applications, 55, 101215.
Huang, M., Xu, S., & Zhou, X. (2022). Scarcity promotion and emotional response: A dual-path model in live streaming context. Computers in Human Behavior Reports, 7, 100203
Feng, W., Li, R., & Chen, Y. (2023). Scarcity cues and consumer behavior: Application of S-O-R model in digital shopping platforms. Journal of Consumer Behaviour, 22(1), 45–57.
Hair, J.F., Howard, M.C., & Nitzl, C. (2021). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110.
Sarstedt, M., Ringle, C.M., Cheah, J.H., Ting, H., Moisescu, O.I., & Radomir, L. (2022). Structural model evaluation in PLS-SEM using R: An empirical illustration. Advances in International Marketing, 32, 139–177.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2023). Evaluating PLS-SEM Models: A Contemporary Approach. Journal of Quantitative Marketing, 45(2), 145–161.
Chin, W. W., & Newsted, P. R. (2022). Modern Applications of Effect Size in Structural Equation Modeling. Journal of Advanced Business Analytics, 18(3), 77–94.
Hair, J. F., Howard, M. C., & Nitzl, C. (2022). Model Fit Indices in PLS-SEM: Best Practices and Benchmarks. Journal of Business Research and Analysis, 39(1), 25–41.
Lee, Y., Kwon, O., & Park, J. (2021). Revisiting the Goodness-of-Fit in PLS-SEM: Guidelines for Applied Research. Journal of Information Systems Research, 33(4), 789–808.
Saini, R., & Singh, T. (2022). Detecting and Controlling Common Method Bias in Survey-Based Research. Journal of Business Research, 145, 102–115.
Yousaf, U., & Yang, M. (2023). A Modern Approach to Common Method Bias in Structural Equation Modeling. Management Research Review, 46(3), 456–470.
Kock, N., & Hadaya, P. (2021). Minimum Sample Size Estimation in PLS-SEM: The Inverse Square Root and Gamma-Exponential Methods. Information Systems Journal, 31(4), 800–823.
Aziz, N., & Wang, Y. (2023). Understanding Impulse Buying and Response Timing Bias: Evidence from Online Surveys. International Journal of Consumer Studies, 47(1), 55–67.
Farrell, A. M., & Rudd, J. M. (2022). Examining multicollinearity and common method bias in partial least squares SEM: Perspectives from business and marketing research. European Business Review, 34(2), 199–215.
Zhou, Y., Zhang, X., & Wang, L. (2023). Handling nonresponse bias in online surveys: A comparative evaluation. Social Science Computer Review, 41(1), 88–102.
Lee, H., & Kim, S. (2021). Investigating impulsive buying behavior in mobile commerce. Journal of Retailing and Consumer Services, 62, 102650.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2022). Advancing PLS-SEM: A study on measurement modelassessment. Journal of Business Research, 142, 727–739.