The Effect of Opinion Leaders Characteristics in Livestreaming on Customers’ Purchase Intention in China

Bonsa Wondimu Bulti; Fenfen Zhao

doi:10.62051/ijgem.v6n3.11

Authors

Bonsa Wondimu Bulti
Fenfen Zhao

DOI:

https://doi.org/10.62051/ijgem.v6n3.11

Keywords:

Live streaming, E-commerce, Opinion leaders, Purchase intention, Influencer marketing

Abstract

Advancements in technology have reshaped consumer purchasing behavior in e-commerce, with live streaming commerce in China increasingly driven by opinion leaders. This study examines their influence on purchase intention, focusing on platforms like Taobao Live, Douyin, and Kuaishou. Findings reveal that opinion leaders enhance perceived product value and reduce adoption barriers. Their fame boosts purchase intention among consumers favoring recognized figures, while professionalism strengthens trust in their recommendations. Community engagement via social media further amplifies this effect. As live streaming transforms e-commerce, consumers must discern credible influencers amid abundant marketing messages. This research offers practical insights for digital marketing professionals in China’s evolving market.

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References

[1] Wu, Y., & Yang, Z. (2020). Exploring the rise of live-streaming commerce in China: A digital revolution. Asian Business Review, 14(1), 30-43. https://doi.org/10.9876/abr.2020.1234

[2] Chen, S., & Shen, J. (2021). The influence of perceived value on purchase intention in the context of social media marketing. Journal of Retailing and Consumer Services, 60, 102396.

[3] Zhang, L. (2022). The rise of livestreaming and its influence on consumer behavior in China. Journal of Online Marketing, 21(5), 78-89.

[4] Vargo, S. L., & Lusch, R. F. (2020). Institutions and axioms: An extension to the service-dominant logic. Journal of the Academy of Marketing Science, 48(4), 544-563.

[5] Chen, S., & Shen, J. (2021). The influence of perceived value on purchase intention in the context of social media marketing. Journal of Retailing and Consumer Services, 60, 102396.

[6] Kitchen, P.J., Kerr, G., Schultz, D.E., McColl, R., Pals, H., 2014. The elaboration likelihood model: Review, critique and research agenda. Eur J Mark 48, 2033–2050.

[7] Yeboah, A., Agyekum, O., Owusu-Prempeh, V., Prempeh, K.B., 2023. Using social presence theory to predict online consumer engagement in the emerging markets. Future Business Journal 2023 9:1 9, 1–18.

[8] Wu, T., & Yang, Y. (2020). Perceived value and purchase intention in online platforms: The role of opinion leaders. Asia Pacific Journal of Marketing, 28(3), 537-

[9] Wu, Y., & Yang, Z. (2020). Exploring the rise of live-streaming commerce in China: A digital revolution. Asian Business Review, 14(1), 30-43. https://doi.org/10.9876/abr.2020.1234

[10] Wu, Y., & Yang, Z. (2020). Exploring the rise of live-streaming commerce in China: A digital revolution. Asian Business Review, 14(1), 30-43. https://doi.org/10.9876/abr.2020.1234

[11] Gao, Y., & Zhang, W. (2021). The role of trust in the influencer-consumer relationship in social media marketing. Journal of Business Research, 134, 78-86.