The Influence of Interactivity in E-commerce Live Streaming on Consumers' Online Purchase Intention
DOI:
https://doi.org/10.54097/mzekmr02Keywords:
Live-streaming e-commerce, Purchase intention, InteractivityAbstract
In recent years, the rapid development of live-streaming e-commerce has made it a primary marketing model for e-commerce platforms and live-streaming platforms. The features of live-streaming e-commerce, such as authenticity, entertainment, interactivity, and visibility, offer consumers a novel experience. Consumers' purchase intentions can be influenced by various external factors, such as the environment, atmosphere, and service quality of shopping venues, as well as by internal factors related to the consumers themselves. In a live-streaming e-commerce environment, hosts can introduce products to consumers in real-time, share knowledge, and promptly answer consumer questions. Consumers can also interact with each other in real time through comments. However, as time progresses, the competition within the live-streaming e-commerce industry has become increasingly intense. To thrive in this environment, it is essential to understand the behavior and psychological changes of live-streaming users from different perspectives and comprehensively analyze the influence of interactivity in live-streaming e-commerce on consumers' online purchase intentions.
Downloads
References
[1] Agrawal, D. R., and Fox, W. F. (2017). Taxes in an e-commerce generation. Int. Tax. Public. Finan. 24, 903–926. doi: 10.1007/s10797-016-9422-3
[2] Haimson, O. L., and Tang, J. C. (2017). “What makes live events engaging on facebook live,” in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, (Denver, CO).
[3] Dubé, L., and Menon, K. (2000). Multiple roles of consumption emotions in post-purchase satisfaction with extended service transactions. Int. J. Serv. Ind. Manag. 11, 287–304. doi: 10.1108/09564230010340788
[4] Guo, L. (2020). Cross-border e-commerce platform for commodity automatic pricing model based on deep learning. Electron. Commer. Res. doi: 10.1007/s10660-020-09449-6
[5] Guercini, S., and Runfola, A. (2015). “Internationalization through e-commerce. the case of multibrand luxury retailers in the fashion industry,” in The International Marketing in the Fast Changing World, eds B. Stöttinger, B. B. Schlegelmilch, and S. Zou (Bingley: Emerald Group Publishing Limited), 15–31.
[6] Jacoby, J. (2002). Stimulus-organism-response reconsidered: an evolutionary step in modeling (consumer) behavior. J. Consum. Psychol. 12, 51–57. doi: 10.1207/S15327663JCP1201_05
[7] Hu, M., Zhang, M., and Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Comput. Hum. Behav. 75, 594–606. doi: 10.1016/j.chb.2017.06.006
[8] Cai, J., Wohn, D. Y., Mittal, A., and 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, Seoul.
[9] Hu, M., and Chaudhry, S. S. (2020). Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet. Res. 30, 1019–1041. doi: 10.1108/INTR-03-2019-0082
[10] Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Marketing. Res. 18:39. doi: 10.2307/3151312
[11] Guo, Y., Bao, Y., Stuart, B. J., and Le-Nguyen, K. (2018). To sell or not to sell: exploring sellers’ trust and risk of chargeback fraud in cross-border electronic commerce. Inform. Syst. J. 28, 359–383. doi: 10.1111/isj.12144
[12] Bieron, B., and Ahmed, U. (2012). Regulating E-commerce through international policy: understanding the international trade law issues of e-commerce. J. World Trade. 46, 545–570.
[13] Hair, J. F., Sarstedt, M., Ringle, C. M., and Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage Press.
[14] Aizen, I. (1991). The theory of planned behavior. Organ. Behav. Hum. Dec. 50, 179–211. doi: 10.1016/0749-5978(91)90020-T
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.