The effects of social media live streaming commerce on Vietnamese Generation Z consumers’ purchase intention
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DOIhttp://dx.doi.org/10.21511/im.19(4).2023.22
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Article InfoVolume 19 2023, Issue #4, pp. 269-283
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Social media live streaming commerce is an emerging and effective online shopping channel that integrates live streaming and e-commerce through social media platforms. This trend has gained significant attention, particularly from Generation Z, who are drawn to the interactive and entertaining aspects of shopping through live streaming. This study investigates factors affecting the purchase intention of Vietnamese Generation Z consumers in live streaming commerce on social media platforms, assessing the impact of six factors: entertainment, information quality, interactivity, perceived risk, peer customer evaluations and recommendations, and streamers. Using a non-probability sampling, an online survey was conducted among 344 consumers who possess prior experience with social media live streaming commerce. Data analysis used a partial least squares structural equation modeling technique. The findings revealed that increased entertainment, higher information quality, enhanced interactivity, positive peer customer evaluations and recommendations, and a more attractive and expert streamer positively impact purchase intention. Notably, streamers exhibited the most robust influence, while information quality demonstrated the weakest effect among the influencing factors. Conversely, perceived risk did not significantly hinder purchase intention, suggesting Generation Z consumers’ confidence in online transactions and their willingness to take risks for entertainment and interactivity in live streaming commerce. In light of these results, businesses are advised to elevate consumer purchase intentions by prioritizing aspects related to entertainment, information quality, interactivity, and peer customer evaluations. Prudent selection of streamers is highlighted as a pivotal strategy for organizations to effectively shape customer purchasing intentions.
Acknowledgment
The researchers express sincere gratitude to all the participants who generously participated in this study.
- Keywords
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JEL Classification (Paper profile tab)M30, M31
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References70
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Tables4
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Figures1
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- Figure 1. PLS-SEM results of the research model
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- Table 1. Results of testing the hypotheses in theoretical model
- Table A1. Participants’ demographic information
- Table B1. Convergent validity
- Table B2. Discriminant validity
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- Acharya, A. S., Prakash, A., Saxena, P., & Nigam, A. (2013). Sampling: Why and how of it. Indian Journal of Medical Specialties, 4(2), 330-333.
- Algharabat, R., & Rana, N. P. (2021). Social commerce in emerging markets and its impact on online community engagement. Information Systems Frontiers, 23(6), 1499-1520.
- 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, 15(3), 2744.
- Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105.
- Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105.
- Chen, C., & Zhang, D. (2023). Understanding consumers’ live-streaming shopping from a benefit-risk perspective. Journal of Services Marketing, 37(8), 973-988.
- Chen, H., Dou, Y., & Xiao, Y. (2022a). Understanding the role of live streamers in live-streaming e-commerce. Social Science Research Network.
- Chen, J., & Liao, J. (2022). Antecedents of Viewers’ live Streaming Watching: A Perspective of Social Presence Theory. Frontiers in Psychology, 13.
- Chen, T., Samaranayake, P., Cen, X-Y., Qi, M., & Lan, Y. (2022b). The impact of online reviews on consumers’ purchasing decisions: Evidence from an eye-tracking study. Frontiers in Psychology, 13.
- Chen, W., Chen, C., & Silalahi, A. D. K. (2022c). Understanding consumers’ purchase intention and gift-giving in live streaming commerce: Findings from SEM and fsQCA. Emerging Science Journal, 6(3), 460-481.
- Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-336). Lawrence Erlbaum Associates Publishers.
- Cialdini, R. B., Reno, R. R., & Kallgren, C. A. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58(6), 1015-1026.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Routledge.
- Delteil, B., Francois, M., Mai, D., & Seong, J. (2021, December 7). The new faces of the Vietnamese consumer. McKinsey & Company.
- Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307-319.
- Felix, R., Rauschnabel, P. A., & Hinsch, C. (2017). Elements of strategic social media marketing: A holistic framework. Journal of Business Research, 70, 118-126.
- Fletcher, K., & Gbadamosi, A. (2022). Examining social media live stream’s influence on the consumer decision-making: A thematic analysis. Electronic Commerce Research.
- Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107.
- Geng, R., & Chen, J. (2021). The influencing mechanism of interaction quality of UGC on consumers’ purchase intention – An empirical analysis. Frontiers in Psychology, 12.
- Grand View Research. (2023). Live Streaming Pay-Per-View Market Size, Share & Trends Analysis Report By Vertical (Sports, Media & Entertainment, Education), By Region (North America, Europe, APAC, South America, MEA), And Segment Forecasts, 2020 – 2027. Market Analysis Report.
- Goretzko, D., Pham, H., & Bühner, M. (2021). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current Psychology, 40(7), 3510-3521.
- Guo, J., Li, Y., Xu, Y., & Zeng, K. (2021). How live streaming features impact consumers’ purchase intention in the context of cross-border e-commerce? A research based on SOR theory. Frontiers in Psychology, 12.
- Hair Jr, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River: Prentice Hall.
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
- Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Pearson University Press.
- Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R. Springer.
- Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565-580.
- 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.
- Hu, M., Zhang, M., & Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Computers in Human Behavior, 75, 594-606.
- Hu, T., Sun, X., Liu, X., Tian, J., & Zhang, D. (2022). The impact of consumer purchase behavior changes on the business model design of consumer services companies over the course of COVID-19. Frontiers in Psychology, 13.
- Jamil, K., Dunnan, L., Gul, R. F., Shehzad, M. U., Gillani, S. H. M., & Awan, F. H. (2022). Role of social media marketing activities in influencing customer intentions: A perspective of a new emerging era. Frontiers in Psychology.
- Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P. P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in social media research: Past, present and future. Information Systems Frontiers, 20(3), 531-558.
- Kim, H., & Niehm, L. S. (2009). The impact of website quality on information quality, value, and loyalty intentions in apparel retailing. Journal of Interactive Marketing, 23(3), 221-233.
- Kock, N. (2015). A note on how to conduct a factor-based PLS-SEM analysis. International Journal of e-Collaboration, 11(3), 1-9.
- Lăzăroiu, G., Negurita, O., Grecu, I., Grecu, G., & Mitran, P. C. (2020). Consumers’ decision-making process on social commerce platforms: Online trust, perceived risk, and purchase intentions. Frontiers in Psychology, 11.
- Law, M., Ng, M., Lam, L., & Cui, X. (2023). Assessing Streamer Attributes: The Role of Trustin Purchase Intention for Live E-Commerce. Advances in Digital Marketing and ECommerce, 53-61.
- Leong, C., Loi, A. M., & Woon, S. (2022). The influence of social media eWOM information on purchase intention. Journal of Marketing Analytics, 10(2), 145-157.
- Li, J., Guo, F., Xu, J., & Yu, Z. (2022). What Influences Consumers’ Intention to Purchase Innovative Products: Evidence from China. Frontiers in Psychology, 13.
- Liao, J., Chen, K., Qi, J., Li, J., & Yu, I. Y. (2023). Creating immersive and parasocial live shopping experience for viewers: The role of streamers’ interactional communication style. Journal of Research in Interactive Marketing, 17(1), 140-155.
- Liu, C., Wang, L., Pi, Z., & Yang, J. (2023). Interaction matters: Co-viewing facilitates learning from live video streaming for elementary students. Education and Information Technologies.
- Liu, D., & Yu, J. (2022). Impact of perceived diagnosticity on live streams and consumer purchase intention: Streamer type, product type, and brand awareness as moderators. Information Technology & Management.
- Liu, X., Zhang, L., & Chen, Q. (2022). The effects of tourism e-commerce live streaming features on consumer purchase intention: The mediating roles of flow experience and trust. Frontiers in Psychology, 13.
- Lyu, Y., Lai, X., Ma, X., Cao, L., Lei, H., Wang, J., Zhang, H., Jing, R., Feng, H., Guo, J., Li, L., & Fang, H. (2021). The acceptance of COVID-19 vaccination under different methods of investigation: Based on online and on-site surveys in China. Frontiers in Public Health, 9.
- Merritt, K., & Zhao, S. (2022). The power of live stream commerce: A case study of how live stream commerce can be utilised in the traditional British retailing sector. Journal of Open Innovation, 8(2), 71.
- Naomi, I. P., & Ardhiyansyah, A. (2021). The effects of online customer reviews and online customer ratings on purchasing intentions in west java marketplaces. INOVASI, 17(4), 810-816.
- Ngo, T. T. A., Le, T. M. T., Nguyen, T. H., Le, T. G., Ngo, G. T., & Nguyen, T. D. (2022). The impact of SNS advertisements on online purchase intention of Generation Z: An empirical study of TikTok in Vietnam. Journal of Asian Finance, Economics and Business, 9(5), 497-506.
- Nguyen, M-N. (2023). Streaming in Vietnam – statistics & facts. Statista.
- Nguyen, C., Nguyen, T., & Luu, V. (2022). Predicting the relationship between influencer marketing and purchase intention: Focusing on Gen Z consumers. In N. N. Thach, V. Kreinovich, D. T. Ha, & N. D. Trung (Eds.), Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics (pp. 467-481). Springer.
- Nunnally, J. C. (1978). An overview of psychological measurement. In B. B. Wolman (Ed.), Clinical Diagnosis of Mental Disorders (pp. 245-246). Springer.
- Parker, K., & Igielnik, R. (2020). On the cusp of adulthood and facing an uncertain future: What we know about Gen Z so far. Pew Research Center.
- Patanasiri, A., & Krairit, D. (2019). A comparative study of consumers’ purchase intention on different internet platforms. Mobile Networks and Applications, 24(1), 145-159.
- Pham, V. T., Le, A. C., Dinh, T. N. H., Nguyen, Q. A., Pham, C. G., Nguyen, Q. T., & Nguyen, P. U. (2023). Discussion on analysis of effects of short-form video advertising on the purchase intention of Gen Z in Vietnam – And future research directions. Asian Journal of Applied Science and Technology, 7(1), 1-18.
- Qin, C., Zeng, X., Liang, S., & Zhang, K. (2023). Do live streaming and online consumer reviews jointly affect purchase intention? Sustainability, 15(8), 6992.
- Qing, C., & Jin, S. (2022). What drives consumer purchasing intention in live streaming e-commerce? Frontiers in Psychology, 13.
- Rodrigues, R. I., Lopes, P. E. M., & Varela, M. E. (2021). Factors affecting impulse buying behavior of consumers. Frontiers in Psychology, 12.
- Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 587-632). Springer.
- Song, C., & Liu, Y-l. (2021). The effect of live-streaming shopping on the consumer’s perceived risk and purchase intention in China. 23rd Biennial Conference of the International Telecommunications Society (ITS). Gothenburg, Sweden.
- Tiwari, P., & Joshi, H. (2020). Factors influencing online purchase intention towards online shopping of Gen Z. International Journal of Business Competition and Growth, 7(2), 175-187.
- Wong, K. K-K. (2013). Partial least square structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24.
- Xie, C., Yu, J., Huang, S., & Zhang, J. (2022). Tourism e-commerce live streaming: Identifying and testing a value-based marketing framework from the live streamer perspective. Tourism Management, 91, 104513.
- Xu, P., Cui, B. J., & Lyu, B. (2022). Influence of streamer’s social capital on purchase intention in live streaming e-commerce. Frontiers in Psychology, 12.
- Yang, Q., Liu, S., Li, Y., & Kang, H. (2022). A matching study on the influence of advertised information expression and product type on consumer purchase intention. Frontiers in Psychology, 13.
- Yang, Z., Wang, L., Tang, H., & Zhang, Y. (2020). Electronic word-of-mouth and consumer purchase intentions in social e-commerce. Electronic Commerce Research and Applications, 41, 100980.
- Zhang, L., & Liu, X. (2023). Interactivity and live-streaming commerce purchase intention: Social presence as a mediator. Social Behavior and Personality, 51(2), 1-7.
- Zhang, L., Chen, M., & Zamil, A. M. A. (2023). Live stream marketing and consumers’ purchase intention: An IT affordance perspective using the S-O-R paradigm. Frontiers in Psychology, 14.
- Zhang, S., Huang, C., Li, X., & Ren, A. (2022a). Characteristics and roles of streamers in e-commerce live streaming. Service Industries Journal, 42(13-14), 1001-1029.
- Zhang, W., Wang, Y., Zhang, T., & Chu, J. (2022b). Live-streaming community interaction effects on travel intention: the mediation role of sense of community and swift-guanxi. Information Technology & Tourism, 24(4), 485-509.
- Zhang, X., & Yu, X. (2020). The impact of perceived risk on consumers’ cross-platform buying behavior. Frontiers in Psychology, 11.
- Zhou, R., & Tong, L. (2022). A Study on the Influencing Factors of Consumers’ Purchase Intention During Livestreaming e-Commerce: The Mediating Effect of Emotion. Frontiers in Psychology, 13.
- Zimmerman, B. J., & Ringle, J. (1981). Effects of model persistence and statements of confidence on children’s self-efficacy and problem-solving. Journal of Educational Psychology, 73(4), 485-493.