ISSN: 2222-6990
Open access
This study explores the key factors influencing consumer purchase intention of Luosifen in the context of e-commerce live streaming. As an emerging sales model, e-commerce live streaming significantly transforms the retail landscape through real-time product demonstrations, interactive exchanges, and instant feedback, especially during the COVID-19 pandemic, enhancing consumer shopping experience and purchase intentions.
This study analyzes how product symbolism, price discount, influencer impact, and consumer impulsivity traits affect consumers purchase intentions. A quantitative research method was employed, collecting data through a questionnaire survey from consumers who frequently participate in e-commerce live streaming and have purchased Luosifen. Descriptive statistics, reliability and validity tests, correlation analysis, regression analysis was conducted using SPSS and AMOS software. The results indicate that product symbolism, price discount, influencer impact, and consumer impulsivity traits significantly positively influence purchase intentions. Based on these findings, this paper proposes practical recommendations, including Enhance Product Symbolism, Optimize Price Discount Strategies, Leverage Influencer Impact, Cater to Consumer Impulsivity. These strategies are expected to improve consumer purchase intentions, increase sales, and promote brand loyalty.
Cai, J., Wohn, D. Y., Mittal, A., & Sureshbabu, D. (2018). Utilitarian and hedonic motivations for live streaming shopping. In Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video (pp. 81-88). https://doi.org/10.1145/3210825.3210837
Candi, M., Jae, H., Makarem, S., & Mohan, M. (2017). Consumer responses to functional, aesthetic and symbolic product design in online reviews. Journal of Business Research, 81, 31-39. https://doi.org/10.1016/J.JBUSRES.2017.08.006.
Chen, C. C., & Lin, Y. C. (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), 293-303. https://doi.org/10.1016/j.tele.2017.12.003
China E-commerce Research Center. (2021). 2021 Double 11 E-commerce Data Analysis. Retrieved from https://www.100ec.cn/
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. https://doi.org/10.3389/fpsyg.2021.767876
iiMedia Research. (2022). 2022 China E-commerce Live Streaming Market Report. Retrieved from https://www.iimedia.cn/
Jiang, Z., Wang, H., Xue, J., & Zhai, T. (2022). Propelling consumer engagement via entrepreneurs' live streaming? Frontiers in Psychology, 13.
https://doi.org/10.3389/fpsyg.2022.890707
Khaled, A. S., Ahmed, S., Tabash, M. I., Al-Homaidi, E. A., & Hossain, M. I. (2019). The Impact of Technological and Marketing Innovations on Retailing Industry: Evidence of India. Journal of Reviews on Global Economics, 8, 948-957
Lee, C. H., & Chen, C. (2021). Impulse buying behaviors in live streaming commerce based on the stimulus-organism-response framework. Information, 12(6), 241.
https://doi.org/10.3390/info12060241
Li, M., Wang, Q., & Cao, Y. (2022). Understanding consumer online impulse buying in live streaming e-commerce: A stimulus-organism-response framework. International Journal of Environmental Research and Public Health, 19(7), 4378.
https://doi.org/10.3390/ijerph19074378
Liu, F., Wang, Y., Dong, X., & Zhao, H. (2022). Marketing by live streaming: How to interact with consumers to increase their purchase intentions. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.933633
Ma, A., Liao, W., & Liu, Z. (2022). The future of e-commerce: Live stream shopping and purchase intention post-COVID-19. International Journal of Electronic Commerce Studies. https://doi.org/10.7903/ijecs.2129
Ma, E., Liu, J., & Li, K. (2023). Exploring the mechanism of live streaming e-commerce anchors’ language appeals on users’ purchase intention. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2023.1109092
Qing, C., & Jin, S. (2022). What drives consumer purchasing intention in live streaming e-commerce? Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.938726
Su, X. (2019). An empirical study on the influencing factors of e-commerce live streaming. In 2019 International Conference on Economic Management and Model Engineering (ICEMME) (pp. 492-496). IEEE. https://doi.org/10.1109/ICEMME49371.2019.00103
Xu, P., Cui, B., & Lyu, B. (2022). Influence of streamer's social capital on purchase intention in live streaming e-commerce. Frontiers in Psychology, 12.
https://doi.org/10.3389/fpsyg.2021.748172
Xu, X., Wu, J. H., & Li, Q. (2020). What drives consumer shopping behavior in live streaming commerce. Journal of Electronic Commerce Research, 21(3), 144-167.
https://doi.org/10.3389/fpsyg.2021.748172
Yu, X., Li, Y., Zhu, K., Wang, W., & Wen, W. (2022). Strong displayed passion and preparedness of broadcaster in live streaming e-commerce increases consumers' neural engagement. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.674011
Zhang, F., Zhu, S., & Ye, Z. (2022). The influence mechanism of mainstream media e-commerce live streaming on consumers' purchase decision: An exploratory study based on grounded theory. In Proceedings of the 4th International Conference on Management Science and Industrial Engineering (pp. 114-121). ACM.
https://doi.org/10.1145/3535782.3535783
Zhang, L., Chen, M., & Zamil, A. (2023). Live stream marketing and consumers’ purchase intention: An IT affordance perspective using the S-O-R paradigm. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1069050
Bao, Q., Farhana, N., & Raj, V. (2024). Exploring the Factors Influencing Consumer Purchase Intention of Luosifen in E-commerce Live Streaming. International Journal of Academic Research in Business and Social Sciences, 14(11), 533–544.
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