From Presentation to Purchase: Economic and Financial Analysis of Host Characteristics in Food Live-Streaming
-
https://doi.org/10.14419/443cc317
Received date: October 28, 2025
Accepted date: November 17, 2025
Published date: November 24, 2025
-
Consumer Behavior; Economic Analysis; Host Characteristics; Live-Streaming Commerce; Parasocial Interaction -
Abstract
This study examines the economic and financial implications of host characteristics in food live-streaming commerce, a rapidly growing sector that has transformed digital retail. Drawing on parasocial interaction theory and the stimulus-organism-response (S-O-R) framework, we investigate how streamer attributes—namely, professionalism, attractiveness, interactivity, and expertise—impact consumer trust and purchase intentions. Using secondary data from 345 consumers engaged in food live-streaming platforms, we employ structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to analyze the complex relationships between host characteristics and economic outcomes. Results indicate that streamer professionalism (β = 0.42, p < 0.001) and attractiveness (β = 0.38, p < 0.001) significantly enhance consumer trust, which mediates purchase intention (β = 0.51, p < 0.001). The economic analysis reveals that a one-standard-deviation increase in host professionalism correlates with a 23% increase in consumer purchase value. Our findings demonstrate that parasocial interaction plays a crucial mediating role (indirect effect = 0.31, p < 0.001) between host characteristics and financial outcomes. The fsQCA results identify three configurations of host attributes that lead to high purchase intentions, with comprehensive trait combinations proving most effective. This research contributes to the literature by integrating economic analysis with consumer psychology, providing actionable insights for platform operators and content creators in the $843.93 billion global live-streaming commerce market. The study has significant implications for resource allocation, streamer selection, and marketing strategy optimization in the food live-streaming sector.
-
References
- Electroiq. (2025). The live commerce market size worth $3.7 trillion by 2030. Retrieved from https://www.electroiq.com/live-commerce-market-size
- Fu, Y., & Hsu, C. (2023). Streamer characteristics and consumer engagement in live streaming commerce. Electronic Commerce Research and Ap-plications, 58, 101247. https://doi.org/10.1016/j.elerap.2023.101247.
- Gao, W., Jiang, N., & Guo, Q. (2025). How cool virtual streamer influences customer in live-streaming commerce? Journal of Retailing and Con-sumer Services, 82, 104139. https://doi.org/10.1016/j.jretconser.2024.104139.
- Grand View Research. (2024). Live commerce platforms market size, share & trends analysis report. Retrieved from https://www.grandviewresearch.com.
- Guo, Y., Zhang, K., & Wang, C. (2022). Way to success: Understanding top streamer's popularity and influence from the perspective of source characteristics. Journal of Retailing and Consumer Services, 64, 102786. https://doi.org/10.1016/j.jretconser.2021.102786.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.
- Han, F., & Tepsan, W. (2025). The impact of streamer social presence and professionalism on food live streaming purchase intention: A model of moderated mediation. Asia Pacific Journal of Marketing and Logistics, 37(6), 1423-1442. https://doi.org/10.1108/APJML-01-2025-0151.
- Horton, D., & Wohl, R. R. (1956). Mass communication and para-social interaction. Psychiatry, 19(3), 215-229. https://doi.org/10.1080/00332747.1956.11023049.
- Hossain, M. A., Kalam, A., Nuruzzaman, M., & Kim, M. (2023). The power of live-streaming in consumers' purchasing decision. SAGE Open, 13(3), 21582440231197903. https://doi.org/10.1177/21582440231197903.
- Huang, Y., & Mohamad, S. H. (2025). Examining the impact of parasocial interaction and social presence on impulsive purchase in live streaming commerce context. Frontiers in Communication, 10, 1554681. https://doi.org/10.3389/fcomm.2025.1554681.
- Kang, J. W., & Namkung, Y. (2019). The information quality and source credibility matter in customers' evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189-198. https://doi.org/10.1016/j.ijhm.2018.10.011.
- Kang, K., Lu, J., Guo, L., & Li, W. (2020). The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms. International Journal of Information Management, 56, 102251. https://doi.org/10.1016/j.ijinfomgt.2020.102251.
- Kim, S., & Park, H. (2024). Cultural dimensions and trust in global live-streaming commerce: Evidence from East and West. Journal of Internation-al Marketing, 32(2), 155–173.
- Li, Y., Chen, X., & Zhang, M. (2023). Parasocial interaction and impulse buying in live streaming commerce. Psychology & Marketing, 40(7), 1432-1449. https://doi.org/10.1002/mar.21825.
- Li, Y., Wang, J., & Liu, H. (2024). The influence of anchor characteristics on consumer purchase intention: A case study of agricultural livestream-ing. Frontiers in Communication, 9, 1534691. https://doi.org/10.3389/fcomm.2024.1534691.
- Liao, C., Luo, J., Wang, S., Shen, Y., & Lin, S. (2025). How live-streaming commerce influences consumers' impulse buying of near expiry-date food: Implications for reducing food waste. Frontiers in Sustainable Food Systems, 9, 1570483. https://doi.org/10.3389/fsufs.2025.1570483.
- 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. https://doi.org/10.1108/JRIM-04-2021-0114.
- Liu, X., Wang, D., Gu, M., & Yang, J. (2022). Research on the influence mechanism of anchors' professionalism on consumers' impulse buying in-tention in the livestream shopping scenario. Enterprise Information Systems, 17(6), 2147853. https://doi.org/10.1080/17517575.2022.2065457.
- Luo, X., Cheah, J. H., Lim, X. J., Ramayah, T., & Dwivedi, Y. K. (2025). Inducing shoppers' impulsive buying tendency in live-streaming: Integrat-ing signaling theory with social exchange theory. Internet Research, 35(1), 157-183. https://doi.org/10.1108/INTR-04-2023-0260.
- Mai, T. D. P., To, A. T., Trinh, T. H. M., Nguyen, T. T., & Le, T. T. T. (2023). Para-social interaction and trust in live-streaming sellers. Emerging Science Journal, 7(3), 744-754. https://doi.org/10.28991/ESJ-2023-07-03-06.
- Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
- Ming, J., Jianqiu, Z., Bilal, M., Akram, U., & Fan, M. (2021). How social presence influences impulse buying behavior in live streaming commerce? The role of S-O-R theory. International Journal of Web Information Systems, 17(4), 300-320. https://doi.org/10.1108/IJWIS-02-2021-0012.
- Shi, R., Wang, M., Qiao, T., & Shang, J. (2024). The effects of live streamer's facial attractiveness and product type on consumer purchase intention: An exploratory study with eye tracking technology. Behavioral Sciences, 14(5), 375. https://doi.org/10.3390/bs14050375.
- Soares, R. R., Zhang, T. C., Proença, J. F., & Kandampully, J. (2024). The role of influencer credibility in social media-based travel recommenda-tions. Journal of Hospitality & Tourism Research, 48(3), 567-589.
- Statista. (2024). Livestream e-commerce sales in the United States from 2020 to 2026. Retrieved from https://www.statista.com.
- Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2019). How live streaming influences purchase intentions in social commerce: An IT affordance per-spective. Electronic Commerce Research and Applications, 37, 100886. https://doi.org/10.1016/j.elerap.2019.100886.
- Tang, X., Hao, Z., & Li, X. (2024). The influence of streamers' physical attractiveness on consumer response behavior: Based on eye-tracking exper-iments. Frontiers in Psychology, 14, 1297369. https://doi.org/10.3389/fpsyg.2023.1297369.
- Tian, B., Chen, J., Zhang, J., Wang, W., & Zhang, L. (2023). Antecedents and consequences of streamer trust in livestreaming commerce. Behav-ioral Sciences, 13(10), 812. https://doi.org/10.3390/bs13100812.
- Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543-556. https://doi.org/10.1016/j.jbusres.2018.08.032.
- Xu, X., Wu, J. H., & Li, Q. (2020). What drives consumer shopping behavior in live streaming commerce? Journal of Electronic Commerce Re-search, 21(3), 144-167.
- Yuan, S., Liu, L., Su, B., & Zhang, H. (2025). Streamer characteristics and consumer value co-creation in agricultural livestreaming. Frontiers in Sustainable Food Systems, 9, 1628385. https://doi.org/10.3389/fsufs.2025.1628385.
- Zhao, D., Yang, J., & Zhao, C. (2024). Exploring how the live streaming context influences consumers' purchase intention. Journal of Retailing and Consumer Services, 78, 103734. https://doi.org/10.1016/j.jretconser.2024.103734.
- Zhang, L., & Xu, H. (2025). AI-driven personalization in live-streaming: Opportunities and ethical challenges. Computers in Human Behavior, 151, 107259.
-
Downloads
-
How to Cite
Zhao, W., He, Y. ., & Wang, Q. (2025). From Presentation to Purchase: Economic and Financial Analysis of Host Characteristics in Food Live-Streaming. International Journal of Accounting and Economics Studies, 12(7), 663-675. https://doi.org/10.14419/443cc317
