Mediating effect of emotional response between streamers’ characteristics and consumer purchase intention in E-commerce live streaming
Vol 9, Issue 8, 2024, Article identifier:
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Abstract
Objective: This study aims to explore how streamers' characteristics affect consumers' purchase intentions in e-commerce live streaming. Specifically, the study examines this relationship through the mediating role of emotional responses.
Design/Methods: The study sample included 325 e-commerce live streaming consumers from Guangzhou, the most developed city in China for the e-commerce live streaming industry. Random sampling was used in a questionnaire survey to obtain data, while the Statistical Package for the Social Sciences (SPSS) and Analysis of Moment Structures (AMOS) were employed to verify the research hypotheses.
Findings: The characteristics of streamers in e-commerce live streaming directly and indirectly impact consumers' purchase intentions. Streamers' characteristics also partially mediate consumers' purchase intentions through emotional responses. Additionally, the results support the mediation model.
Practical Significance: The results revealed that the role of streamers is vital in e-commerce live streaming. Furthermore, streamers' professionalism, trustworthiness, and attractiveness significantly affect consumers' purchase intentions. The findings will aid merchants in choosing the right streamers and provide direction for live streaming, improving the professionalism, trustworthiness, and attractiveness of streamers, and increasing sales during live streaming.
Originality/Value: The present study contributes to the existing literature by explaining how streamers' characteristics relate to consumers' purchase intentions. The study also examined the mediating processes, thereby promoting an understanding of how consumers' emotional responses influence their purchase intentions.
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1. Wei, H., Gao, J., & Duan, F. (2021). The Influence of Information Interactivity on User Participation Behavior in E-commerce Live Streaming Mode. Information Science, 39(4), 148-156.
2. Chen, M. (2023). The influence of key opinion leader characteristics on consumer purchase intention in the e-commerce live streaming model: Based on SOR theory. Science Technology and Industry, 23(21).
3. Wang, J. (2017). Development Patterns and Current Situation Analysis of Online Live Broadcasting under the Internet+ Era. Chinese Strategic Emerging Industries, 16, 102.
4. Liu, J. (2020). Exploring the Live Broadcasting Sales Model in the Short Video Economy: A Case Study of Douyin. Modern Marketing, 7, 228-229.
5. Zhang, C. (2020). Factors Influencing Consumer Mobile Shopping Intentions. (Master's thesis). Xi'an: Xi'an University of Technology.
6. Liu, J., Liu, W., Li, J., et al. (2020). Research on the influence of online opinion leaders on consumers' purchase intentions based on the SOR model. Journal of Chongqing University of Technology (Social Sciences), 34(6), 70-79.
7. Choi, L., & Lee. (2019). Effect of trust in domain-specific information of safety, brand loyalty, and perceived value for cosmetics on purchase intentions in mobile e-commerce context. Sustainability, 11(22), 6257.
8. Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers' purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61(9), 47-55.
9. Pornpitakpan, C., Yuan, Y., & Han, J. H. (2017). The effect of salespersons' retail service quality and consumers' mood on impulse buying. Australasian Marketing Journal, 25(1), 2-11.
10. Hu, X. (2020). Research on the influence of opinion leaders on consumers' purchase intentions in e-commerce live streaming. Modern Marketing (Business Edition),(09), 152-153.
11. Cai, J., & Wohn. D. Y. (2019). "Live streaming commerce: Uses and gratifications approach to understanding consumers' motivations." In Proceedings of the 52nd Hawaii International Conference on System Sciences, Hawaii, USA.
12. Sentance, R. (2019). "What Is China's Live Commerce Trend? And What Does Pinduoduo's Livestreaming Launch Mean?" https://econsultancy.com/what-is-live-commercepinduoduo-livestreaming-launch/
13. Wongkitrungrueng, A., Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. J. Bus. Res. 117,543-556.
14. Meng, L., Liu, F., Chen, S., et al. (2020). Can I engage you? —A study on the influence mechanism of different types of live-streaming influencers on consumer purchase intentions. Nankai Business Review, 23(01), 131-143.
15. Donovan, R. J., & Rossiter, J. R. (1982). Store atmosphere - An environmental psychology approach. Journal of Retailing, 58(1), 34-57.
16. Guo, Y., Zhang, K., Wang, C.(2022). Way to success: understanding top streamer's popularity and influence from the perspective of source characteristics. J. Retailing Consum Sery, 64(10) ,102786
17. Luo, C. H., Liang, H., & Huawei. (2021). Study on the influencing factors of consumers' purchase intention under live streaming with goods based on SOR model. Modernization, 4(16), 1-4.
18. Liu, F., Meng, L., Chen, S., et al. (2020). The Impact of Influencer Live Streaming on Consumer Purchase Intentions and Its Mechanism. Management Journal, 17(1), 94-104.
19. Yuan, C. L., Kim, J., & Kim, S. J. (2016). Parasocial relationship effects on customer equity in the social media context. Journal of Business Research, 69(9), 3795-3803.
20. Osei-Frimpong, K., Donkor, G., & Owusu-Frimpong, N. (2019). Social media brand engagement practices: Examining the role of consumer brand knowledge, social pressure, social relatedness, and brand trust. Information Technology & People, 32(6), 1442-1466.
21. Han, X., & Xu, Z. (2020). The impact of e-commerce anchor attributes on consumers' willingness to purchase online: A study based on grounded theory. Foreign Economics & Management, 42(10), 62-75.
22. Rosenberg, M. J., & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. Attitude Organization and Change, 1-14.
23. Crawford, G., & Melewar,T. C.(2003).The importance of impulse purchasing behaviour in the international airport environment.Journal of Consumer Behaviour,3(1):85-98.
24. Zhao, H., Wang, X., & Zhou, B. (2015). A study on online interaction and sense of presence in B2C online shopping and consumer trust. Management Review, 27(02), 43-54.
25. Chen, L., & Wang, R. (2016). Research on influencing factors of consumers' purchase intention and trust in social e-commerce environment. Science & Technology & Economy, 29(2), 6-10.
26. Huang, S., & Xu, M. (2021). Research on the impact mechanism of mobile e-commerce live streaming on users' online purchase intention based on SOR theory. Statistics & Management, 36(07), 122-128.
27. Liu, J., Zou, Y., & Liu, Z. (2021). Analysis of influencing factors of consumer purchase intention in e-commerce live streaming based on SEM model. Statistics and Decision, 37(7), 94-97.
28. Choi, T. R., Lee, E., Lee, T. D., & Sung, Y. (2019). Using Instagram while ‘in a relationship’: The roles of narcissism and self-esteem. Journal of Individual Differences, 40(2), 111-117.
29. Yan, D., Liu, Z., & Wang, M. (2018). The influence of micro-blog marketing on audience's consumption attitude and countermeasures. International Media, 07, 62-78.
30. Ohanian, R. (1991). The impact of celebrity spokesperson's perceived image on consumers' intention to purchase. Journal of Advertising Research, 31(1), 46-52.
31. Hwang, J., Yoon, Y.-S., & Park, N.-H. (2011). Structural effects of cognitive and affective responses to web advertisements, website and brand attitudes, and purchase intentions: The case of casual-dining restaurants. International Journal of Hospitality Management, 30(4), 897-907.
32. Zhou, Y., Tang, S., & Xiao, J. (2020). Research on Consumers' Purchase Intention on E-commerce Live Streaming Platforms: Based on the Perspective of Social Presence. Contemporary Economics & Management, 2020(9), 1-11.
33. CNNIC. (2021). The 52nd statistical report on internet development in China. China Internet Network Information Center.
34. Chen, M. (2023). The influence of KOL characteristics on consumers' purchase intentions in e-commerce live streaming: Based on SOR theory. *Science and Industry*, 23(21), 61-68.
35. Park, H. J., Lin, L. M., Mittal, A., et al. (2020). The effects of match-ups on the consumer attitudes toward internet celebrities and their live streaming contents in the context of product endorsement. Journal of Retailing and Consumer Services, 52, 101934.
DOI: https://doi.org/10.59429/esp.v9i8.2931
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