Characteristics of the Social Commerce Environment and the Formation of Purchase Intention: A Study on Tiktok Shop Users
DOI:
https://doi.org/10.12928/commicast.v7i1.15819Keywords:
Customer value, Interpersonal interaction, Purchase intent, Social commerce, Tiktok shopAbstract
The development of the digital economy has changed people's consumption patterns from conventional models to technology-based platforms, especially through the integration of social media and trading activities known as social commerce. TikTok Shop as one of the leading social commerce platforms in Indonesia presents challenges in understanding the mechanism of forming consumer purchase intent through the characteristics of the digital environment and the social interactions created in it. This study aims to analyze the influence of social commerce environmental characteristics on purchase intent by considering the mediating role of interpersonal interaction and perceived value of customers. This research contributes to the development of an integrative model that explains the complex mechanism of buying intention formation in the context of live streaming-based social commerce. The research method used a quantitative approach with a causal design involving 200 respondents who were active users of TikTok Shop in Indonesia. Data collection was carried out through an online questionnaire with a six-point Likert scale, then analyzed using Partial Least Square-Structural Equation Modeling. The theoretical framework adopts the Stimulus-Organism-Response model to explain the causal relationships between constructs. The results showed that the characteristics of the social commerce environment had a significant effect on interpersonal interaction (β=0.525; p<0.05), interpersonal interaction had a significant effect on the perceived value of customers (β=0.639; p<0.05), the value perceived by customers had a significant effect on purchase intention (β=0.579; p<0.05), and there was a direct influence of environmental characteristics on purchase intention (β=0.282; p<0.05). The research model was able to explain the variance in purchase intent by 61.5 percent, confirming that all hypotheses were accepted with a strong level of significance. The findings confirm that an interactive platform environment that supports socialization effectively shapes purchase intent through social interaction mechanisms and value creation for consumers.
References
Al Sharif, A., & Marciniak, R. (2019). The influence of electronic word-of-mouth on expatriate workers seeking tourist information: The case of Saudi Arabia BT - social commerce: Consumer behaviour in online environments. Springer International Publishing. https://doi.org/10.1007/978-3-030-03617-1_10
Ao, L., Bansal, R., Pruthi, N., & Khaskheli, M. B. (2023). Impact of social media influencers on customer engagement and purchase intention: A meta-analysis. Sustainability (Switzerland), 15(3), 1–15. https://doi.org/10.3390/su15032744
Aslam, M. Z., Yusof, N., & Ahmad, M. K. (2023). Elements of spiritual leadership and its relations to leadership communication in Imran Khan’s speeches at international forums. Journal of Intercultural Communication, 23(3). https://doi.org/10.36923/jicc.v23i3.250
Chen, W., & Thorson, E. (2021). Perceived individual and societal values of news and paying for subscriptions. Journalism, 22(6), 1296–1316. https://doi.org/10.1177/1464884919847792
Fajri, C., Sari, N., Karim Fathurrahman, I., Najih Farihanto, M., & Fadillah, D. (2025). Artificial intelligence-based risk communication for traveller protection in Indonesia. COMMICAST, 6(1), 159–173. https://doi.org/10.12928/commicast.v6i1.14442
Fang, H., Xin, S., Pang, H., Xu, F., Gui, Y., Sun, Y., & Yang, N. (2021). Evaluating the effectiveness and efficiency of risk communication for maps depicting the hazard of COVID‐19. Transactions in GIS, tgis.12814. https://doi.org/10.1111/tgis.12814
George, A. M., & Rupa, R. (2025). Swipe, click, regret: an opinion on persuasive e-commerce and consumer autonomy. Frontiers in Artificial Intelligence, 8. https://doi.org/10.3389/frai.2025.1684841
Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2022). Multivariate Data Analysis. Cengage Learning.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. Cengage.
Hendrawan, D., & Zorigoo, K. (2019). Trust in website and its effect on purchase intention for young consumers on C2C e-commerce business. Jurnal Aplikasi Manajemen, 17(3), 391–399. https://doi.org/10.21776/ub.jam.2019.017.03.02
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
Iba, Z., & Wardhana, A. (2023). Metode Penelitian. In Purbalingga: Eureka Media Aksara.
Jalilvand, M. R. (2026). Effects of users’ social identity on intention to purchase a brand : The mediating roles of social media use, eWOM and brand loyalty. Journal of Cyberspace Studies, 10(1), 211–238.
Kumar, V., & Reinartz, W. (2016). Creating enduring customer value. Journal of Marketing. https://doi.org/10.1509/jm.15.0414
Lestari, S. A., Sobari, H., & Amirah Makarim, S. (2025). Content marketing and customer review as influential factors in consumer purchasing decisions a Tiktok Shop, case study in Sriwinangun, Ciamis Regency. Jurnal Ekonomi Perjuangan, 7(2), 133–143. https://doi.org/10.36423/jumper.v7i2.2363
Liu, P., Li, M., Dai, D., & Guo, L. (2021). The effects of social commerce environmental characteristics on customers’ purchase intentions: The chain mediating effect of customer-to-customer interaction and customer-perceived value. Electronic Commerce Research and Applications, 48, 101073. https://doi.org/https://doi.org/10.1016/j.elerap.2021.101073
Margama, A. L., & Fasa, M. I. (2025). Digital transformation in E-Business: Opportunities and challenges for SMEs. JICN: Jurnal Intelek Dan Cendikiawan Nusantara, 2(2), 924–931.
Masuda, H., Han, S. H., & Lee, J. (2022). Impacts of influencer attributes on purchase intentions in social media influencer marketing: Mediating roles of characterizations. Technological Forecasting and Social Change, 174(January 2024), 0–31. https://doi.org/10.1016/j.techfore.2021.121246
Nadda, V. K., Dadwal, S. S., & Firdous, A. (2015). Social media marketing. In Handbook of Research on Integrating Social Media into Strategic Marketing. https://doi.org/10.4018/978-1-4666-8353-2.ch021
Ohorella, N. R., Annisa, & Prihantoro, E. (2022). Pengaruh akun Instagram@ Sumbar_Rancak terhadap minat berkunjung Followers ke suatu destinasi. Jurnal Komunika, 18(2), 46–54. https://doi.org/10.32734/komunika.v18i2.9045
Qi, F. S., & Ramayah, T. (2022). Defensive silence, defensive voice, knowledge hiding, and counterproductive work behavior through the Lens of Stimulus-Organism-Response. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.822008
Rizkalla, N., Pratiwi, P. Y., Situmorang, R., Othman, N., & Purnamaningsih, P. (2025). Sustainable Fashion Trends: What Drives Gen Z’s Slow Fashion Buying Decision in Indonesia? Review of Integrative Business and Economics Research, 14(4), 253–270. https://www.scopus.com/pages/publications/105017282893
Sinaga, H. D. E., & Hendrian, H. (2025). How sustainability awareness shapes consumer purchase intentions through attitudes and perceived value in the thrift market in Indonesia. Proceeding International Business and Economics Conference (Ibec), 4(1), 13–23. https://doi.org/10.47663/ibec.v4i1.405
Sohaib, M., Ali, M. A., & Ahmad-ur-Rehman, M. (2025). Social media marketing drives brand love and customer behavioral engagement: Gender as a Moderator. Journal of Theoretical and Applied Electronic Commerce Research , 20(4), 1–24. https://doi.org/10.3390/jtaer20040344
Subhaktiyasa, P. G. (2024). Evaluasi validitas dan reliabilitas instrumen penelitian kuantitatif: sebuah studi pustaka. Journal of Education Research, 5(4), 5599–5609. https://doi.org/10.37985/jer.v5i4.1747
Sun, Y. (2022). Corporations’ owned social media narrative. In IEEE Transactions on Professional Communication (Vol. 65, Issue 2, pp. 280–293). https://doi.org/10.1109/TPC.2022.3155917
Tan, J., Goyal, S. B., Singh Rajawat, A., Jan, T., Azizi, N., & Prasad, M. (2023). Anti-counterfeiting and traceability consensus algorithm based on weightage to contributors in a food supply chain of industry 4.0. Sustainability, 15(10), 7855. https://doi.org/10.3390/su15107855
Thi, P. Q. P., Ngo, V. M., & Lien, P. N. C. (2020). How social commerce characteristics influence consumers’ online impulsive buying behavior in emerging markets. International Journal of E-Business Research, 16(3), 74–88. https://doi.org/10.4018/IJEBR.2020070105
Varhelahti, M., & Turnquist, T. (2021). Diversity and communication in virtual project teams. IEEE Transactions on Professional Communication, 64(2). https://doi.org/10.1109/TPC.2021.3064404
Wuna, A. M., & Fadillah, D. (2025). Impact of Instagram social media information on the transformation of Student identity in Yogyakarta City. Commicast, 6(3), 556–571. https://doi.org/10.12928/commicast.v6i3.15213
Xue, J., Liang, X., Xie, T., & Wang, H. (2020). See now, act now: How to interact with customers to enhance social commerce engagement? Information & Management, 57(6), 103324. https://doi.org/https://doi.org/10.1016/j.im.2020.103324
Yin, J. Y. B., Saad, N. H. M., & Yaacob, Z. (2022). Exploring sentiment analysis on E-Commerce business: Lazada and Shopee. TEM Journal, 11(4). https://doi.org/10.18421/TEM114-11
Yuan, J., Hou, H., & Bai, B. (2025). What kind of customers, commodity and context matching produces high consumer loyalty? – fsQCA research based on social cognitive theory. Asia Pacific Journal of Marketing and Logistics, 1–20. https://doi.org/10.1108/APJML-01-2025-0133
Zhang, H., Zheng, S., & Zhu, P. (2024). Why are Indonesian consumers buying on live streaming platforms? Research on consumer perceived value theory. Heliyon, 10(13), e33518. https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e33518
Zhang, K. Z. K., & Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95–108. https://doi.org/https://doi.org/10.1016/j.dss.2016.04.001
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