Pengalaman Interaksi Perempuan Gen Z dalam Memicu Perilaku Impulsive Buying di Live Streaming Commerce
DOI:
https://doi.org/10.29407/nusamba.v11i1.27200Keywords:
Impulsive Buying, Flow Experience, Parasocial Interaction, Z GenerationAbstract
Research aim : This study aims to analyze how stimuli in live streaming commerce—originating from both platform interactions and hosts—shape internal psychological states and trigger impulsive buying behavior among Generation Z women, utilizing the Stimulus–Organism–Response (S-O-R) framework.
Design/Methods/Approach : A qualitative method with a phenomenological approach was employed to explore the subjective experiences and emotional engagement of informants. Data were gathered through in-depth interviews with 10 Generation Z women in Indonesia, selected via purposive and snowball sampling. The analysis followed a thematic process, mapping findings into the elements of stimulus, organism, and response.
Research Finding : The findings indicate that stimuli do not directly drive impulsive buying but operate through psychological mediation. Time pressure and product demonstrations foster a flow experience, while the expertise and persuasiveness of hosts strengthen parasocial interaction. These psychological states reduce cognitive control and enhance emotional proximity, thereby accelerating impulsive purchasing decisions.
Theoretical contribution/Originality : This study extends the S-O-R model by demonstrating the complementary roles of dual organisms—cognitive-affective and relational-social—within the live streaming commerce context.
Practitioner/Policy implication : Practitioners should focus on managing interactive broadcast atmospheres, building host credibility, and strategically utilizing time pressure and personalized recommendations to optimize the shopping experience for the Generation Z female segment.
Research limitation : Semi-structured interviews may produce complex responses that deviate from the focus, necessitating a more rigorous filtering and categorization process during analysis.
Downloads
References
[1] Statista. E-commerce Worldwide - Statistics & Facts. Statista 2025.
[2] Lee CH, Chen CW. Impulse buying behaviors in live streaming commerce based on the stimulus-organism-response framework. Information (Switzerland) 2021;12. https://doi.org/10.3390/info12060241.
[3] Zahari NHM, Azmi NNN, Kamar-Bodian WNIWA, Othman MS. Impact of Live Streaming on Social Media on Impulse Buying. Asian Journal of Behavioural Sciences 2021;3:13–23.
[4] Billano GC, Cogollo JP, Dela Cruz MC, Lauren M, Manahan P, Romualdo ND, et al. Preference of Generation Z Towards Social Interaction Indonesian Journal of Community and Special Needs Education. Generose C Billano, Preference of Generation Z Towards … | 2021;1:41–6. https://doi.org/10.17509/xxxx.vxix.
[5] Carissa R. Analisis Pengaruh Live Streaming, Hedonic Shopping Motivation, dan Price Discount terhadap Impulse Buying ( Studi pada Generasi Z Pengguna Social Commerce Tiktok ). ECo-Buss 2024.
[6] Tutar G, Küçükoğlu H, Özdemir A, Alkan Ö, Ipekten OB. An Investigation of Gender Differences in E-Commerce Shopping Frequency During COVID-19: Evidence From Türkiye. Sage Open 2024;14. https://doi.org/10.1177/21582440241287630.
[7] Anindea F, Angguna WM, Izzati AU. EKSPLORASI PERILAKU BERBELANJA DI LIVE STREAMING COMMERCE: PERAN REAKSI AFEKTIF DAN KOGNITIF TERHADAP DORONGAN BERBELANJA IMPULSIF INFORMASI ARTIKEL. Jurnal Kompetitif 2023;12:92–9.
[8] Gumay EC, Bangsawan S, Rouly D, Pandjaitan H. THE INFLUENCE OF SOCIAL PRESENCE ON IMPULSIVE BEHAVIOR BUY GEN Z ON LIVE STREAMING E-COMMERCE SHOPEE WITH SOR FRAMEWORK 2024.
[9] Hochreiter V, Benedetto C, Loesch M. The Stimulus-Organism-Response (S-O-R) Paradigm as a Guiding Principle in Environmental Psychology: Comparison of its Usage in Consumer Behavior and Organizational Culture and Leadership Theory 1. Journal of Entrepreneurship and Business Development 2023;3:7–16. https://doi.org/10.18775/jebd.2806-8661.2021.31.5001.
[10] Chen-Leino X. The Characteristics of Influencer Livestream Shopping that Encourage Consumer Impulsive Buying. Helsinki: 2023.
[11] Agatha C, Emilio S, Rahman F, Murniadi K. Pengaruh Flow Experience dan Parasocial Interaction pada Dorongan Pembelian Impulsif di Live Streaming Commerce. Kajian Branding Indonesia 2023;5:99–125.
[12] Sipur S, Amadi J. Impulsive buying in Live Streaming Commerce: The Role of Flow Experience, Parasocial Interaction and Immersion Relationship. Journal of Science and Education (JSE) 2025;5:431–42. https://doi.org/10.58905/jse.v5i2.403.
[13] Xiang L, Zheng X, Lee MKO, Zhao D. Exploring consumers’ impulse buying behavior on social commerce platform: The role of parasocial interaction. Int J Inf Manage 2016;36:333–47. https://doi.org/10.1016/j.ijinfomgt.2015.11.002.
[14] Lochmiller CR. Conducting thematic analysis with qualitative data. Qualitative Report 2021;26:2029–44. https://doi.org/10.46743/2160-3715/2021.5008.
[15] Kiger ME, Varpio L. Thematic analysis of qualitative data: AMEE Guide No. 131. Med Teach 2020;42:846–54. https://doi.org/10.1080/0142159X.2020.1755030.
[16] Creswell JW, Creswell JD. Research design : Qualitative, Quantitative, and Mixed Methods Approaches. Fifth. Los Angeles: SAGE; 2018.
[17] Ekonomi U, Bisnis D, Pasaribu BS, Herawati A. METODOLOGI PENELITIAN. n.d.
[18] Crow G, Wiles R, Heath S, Charles V. Research ethics and data quality: The implications of informed consent. International Journal of Social Research Methodology: Theory and Practice 2006;9:83–95. https://doi.org/10.1080/13645570600595231.
[19] Gioia DA, Corley KG, Hamilton AL. Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology. Organ Res Methods 2013;16:15–31. https://doi.org/10.1177/1094428112452151.
[20] Thangavel P, Chandra B. Digital Immigrants Versus Digital Natives: Decoding Their E-commerce Adoption Behavior. Sage Open 2024;14. https://doi.org/10.1177/21582440241282437.
[21] Yan Tam K, Ying Ho S. UNDERSTANDING THE IMPACT OF WEB PERSONALIZATION ON USER INFORMATION PROCESSING AND DECISION OUTCOMES 1. MIS Quarterly 2006;30:865.
[22] Verhagen T, Van Dolen W. The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information and Management 2011;48:320–7. https://doi.org/10.1016/j.im.2011.08.001.
[23] Alba JW, Hustchinson JW. Dimension of Consumer Expertise. Journal of Consumer Research 1987;13:411–54.
[24] Xiao SH, Nicholson M. A multidisciplinary cognitive behavioural framework of impulse buying: A systematic review of the literature. International Journal of Management Reviews 2013;15:333–56. https://doi.org/10.1111/j.1468-2370.2012.00345.x.
[25] Shyam Sundar S, Kim J. Machine heuristic: When we trust computers more than humans with our personal information. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery; 2019. https://doi.org/10.1145/3290605.3300768.
[26] Csikszentmihalyi M. Flow-The Psychology of optimal experience. Harper & Row 1990.
[27] Keller J, Ringelhan S, Blomann F. Does skills-demands compatibility result in intrinsic motivation? experimental test of a basic notion proposed in the theory of flow-experiences. Journal of Positive Psychology 2011;6:408–17. https://doi.org/10.1080/17439760.2011.604041.
[28] Horton D, Richard Wohl R. Mass Communication and Para-Social Interaction. Psychiatry 1956;19:215–29. https://doi.org/10.1080/00332747.1956.11023049.
[29] Sokolova K, Kefi H. Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services 2020;53. https://doi.org/10.1016/j.jretconser.2019.01.011.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Haifa Hannum Arija, Eka Kurnia Patmasari, Shofiatul Mila

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- The author grants the journal, the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License


