The Effect of Social Media Live-streaming Marketing on Consumers Engagement and Purchase Intention of Instant Noodle in China

Authors

  • Xinyu Zhang

DOI:

https://doi.org/10.6981/FEM.202412_5(12).0002

Keywords:

Live-streaming Marketing; Instant Noodle; Douyin; Uses and Gratification Theory; Consumer Engagement.

Abstract

Live-streaming on social media provides an innovative and interactive channel for companies to communicate with remote consumers, which is effective for product marketing. Live-streaming commerce in China has witnessed the most significant development and achievement. Previous researches have identified the positive effect of live-streaming on Chinese consumers’ engagement and purchase act. However, less specific studies focus on particular product category and live-streaming platform. This research focuses on Douyin platform and instant noodle products in China. By applying Uses and Gratification Theory, this research explores the effect of Utilitarian Gratification (product information searching, perceived cost-effective deal), Hedonic Gratification (enjoyment, immersive experience) and Social Gratification (social interaction, consumer-streamer similarity). With online self-administered questionnaire, 248 valid data of Chinese consumers are collected for quantitative analysis. Final results illustrate that immersive experience, social interaction and consumer-streamer similarity positively impact consume engagement during live-streaming marketing of instant noodle on Douyin. While consumer engagement positively leads to purchase intention. Then, suggestions for instant noodle companies’ live-streaming marketing strategy are presented. Finally, this research provides conducive understanding about the outcome of social media live-streaming marketing on consumers’ engagement and purchase intention.

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References

[1] Sjöblom, M. and Hamari, J. (2017) ‘Why do people watch others play video games? an empirical study on the motivations of Twitch Users’, Computers in Human Behavior, 75, pp. 985–996. doi:10.1016/j.chb.2016.10.019.

[2] Giertz, J.N. et al. (2021) ‘Content versus community focus in live streaming services: How to drive engagement in synchronous social media’, Journal of Service Management, 33(1), pp. 33–58. doi:10.1108/josm-12-2020-0439.

[3] Wang, Y. et al. (2022) ‘How live streaming changes shopping decisions in e-commerce: A study of live streaming commerce’, Computer Supported Cooperative Work (CSCW), 31(4), pp. 701–729. doi:10.1007/s10606-022-09439-2.

[4] Shawky, S. et al. (2019) ‘Using social media to create engagement: A Social Marketing Review’, Journal of Social Marketing, 9(2), pp. 204–224. doi:10.1108/jsocm-05-2018-0046.

[5] Thomala, L.L. (2023) Market size of live streaming in China 2016-2026. rep. Statista Inc. Available at: https://www-statista-com.bris.idm.oclc.org/study/135808/live-streaming-in-china/ (Accessed: 30 July 2023).

[6] Hamilton, S. (2022) ‘Deep Learning Computer Vision Algorithms, customer engagement tools, and virtual marketplace dynamics data in the Metaverse economy’, Journal of Self-Governance and Management Economics, 10(2), p. 37. doi:10.22381/jsme10220223.

[7] Chen, C.-C. and Lin, Y.-C. (2018) ‘What drives live-stream usage intention? the perspectives of flow, entertainment, social interaction, and endorsement’, Telematics and Informatics, 35(1), pp. 293–303. doi:10.1016/j.tele.2017.12.003.

[8] Hou, F. et al. (2019) ‘Factors influencing people’s continuous watching intention and consumption intention in live streaming’, Internet Research, 30(1), pp. 141–163. doi:10.1108/intr-04-2018-0177.

[9] Qiu, Q., Zuo, Y. and Zhang, M. (2021) ‘Can live streaming save the tourism industry from a pandemic? A study of social media’, ISPRS International Journal of Geo-Information, 10(9), p. 595. doi:10.3390/ijgi10090595.

[10] Cai, J. et al. (2018) ‘Utilitarian and hedonic motivations for live streaming shopping’, Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video [Preprint]. doi:10.1145/3210825.3210837.

[11] Sun, Y. et al. (2019) ‘How live streaming influences purchase intentions in Social Commerce: An IT affordance perspective’, Electronic Commerce Research and Applications, 37, p. 100886. doi:10.1016/j.elerap.2019.100886.

[12] Wongkitrungrueng, A. and Assarut, N. (2020) ‘The role of live streaming in Building Consumer Trust and engagement with Social Commerce Sellers’, Journal of Business Research, 117, pp. 543–556. doi:10.1016/j.jbusres.2018.08.032.

[13] Park, H.J. and Lin, L.M. (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, p. 101934. doi:10.1016/j.jretconser.2019.101934.

[14] Lu, B. and Chen, Z. (2021) ‘Live streaming commerce and consumers’ purchase intention: An uncertainty reduction perspective’, Information & Management, 58(7), p. 103509. doi:10.10 16/j.im.2021.103509.

[15] Zhang, M. et al. (2022) ‘How to retain customers: Understanding the role of trust in live streaming commerce with a socio-technical perspective’, Computers in Human Behavior, 127, p. 107052. doi:10.1016/j.chb.2021.107052.

[16] Bawack, R.E. et al. (2023) ‘How social media live streams affect online buyers: A uses and Gratifications Perspective’, SSRN Electronic Journal [Preprint]. doi:10.2139/ssrn.4334497.

[17] Falgoust, G. et al. (2022) ‘Applying the uses and gratifications theory to identify motivational factors behind young adult’s participation in viral social media challenges on TikTok’, Human Factors in Healthcare, 2, p. 100014. doi:10.1016/j.hfh.2022.100014.

[18] Mejía-Trejo, J. (2021) ‘Covid-19 ads on purchase intention of online consumer behavior as Business Innovation Activity: A Contribution to the uses and gratification theory’, Electronic Commerce Research and Applications, 49, p. 101086. doi:10.1016/j.elerap.2021.101086.

[19] Ma, Y. (2021) ‘To shop or not: Understanding Chinese consumers’ live-stream shopping intentions from the perspectives of uses and gratifications, perceived network size, perceptions of digital celebrities, and shopping orientations’, Telematics and Informatics, 59, p. 101562. doi:10.101 6/j.tele.2021.101562.

[20] Gao, X. et al. (2021) ‘How the live streaming commerce viewers process the persuasive message: An elm perspective and the moderating effect of mindfulness’, Electronic Commerce Research and Applications, 49, p. 101087. doi:10.1016/j.elerap.2021.101087.

[21] Cai, J. and Wohn, D.Y. (2019) ‘Live Streaming Commerce: Uses and gratifications approach to understanding consumers’ motivations’, Proceedings of the Annual Hawaii International Conference on System Sciences [Preprint]. doi:10.24251/hicss.2019.307.

[22] Hu, M. and Chaudhry, S.S. (2020) ‘Enhancing consumer engagement in e-commerce live streaming via Relational bonds’, Internet Research, 30(3), pp. 1019–1041. doi:10.1108/intr-03-2019-0082.

[23] Qing, C. and Jin, S. (2022) ‘What drives consumer purchasing intention in live streaming e-commerce?’, Frontiers in Psychology, 13. doi:10.3389/fpsyg.2022.938726.

[24] Zheng, R., Li, Z. and Na, S. (2022) ‘How customer engagement in the live-streaming affects purchase intention and customer acquisition, E-tailer’s perspective’, Journal of Retailing and Consumer Services, 68, p. 103015. doi:10.1016/j.jretconser.2022.103015.

[25] Su, X. (2019) ‘An empirical study on the influencing factors of e-commerce live streaming’, 2019 International Conference on Economic Management and Model Engineering (ICEMME) [Preprint]. doi:10.1109/icemme49371.2019.00103.

[26] Hill, S.R., Troshani, I. and Chandrasekar, D. (2017) ‘Signalling effects of vlogger popularity on online consumers’, Journal of Computer Information Systems, 60(1), pp. 76–84. doi:10.1080/0887441 7.2017.1400929.

[27] Ming, J. et al. (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), pp. 300–320. doi:10.1108/ijwis-02-2021-0012.

[28] Ko, H.-C. and Chen, Z.-Y. (2020) ‘Exploring the factors driving live streaming shopping intention’, Proceedings of the 7th International Conference on Management of e-Commerce and e-Government [Preprint]. doi:10.1145/3409891.3409901.

[29] Wu, Y. and Huang, H. (2023) ‘Influence of perceived value on consumers’ continuous purchase intention in live-streaming e-commerce-mediated by consumer trust’, Sustainability, 15(5), p. 4432. doi:10.3390/su15054432.

[30] Men, J., Zheng, X. and Davison, R.M. (2023) ‘The role of Vicarious Learning Strategies in shaping consumers’ uncertainty: The case of live-streaming shopping’, Internet Research [Preprint]. doi:10.1108/intr-06-2022-0415.

[31] Chen, S.-C. and Lin, C.-P. (2019) ‘Understanding the effect of social media marketing activities: The mediation of social identification, perceived value, and satisfaction’, Technological Forecasting and Social Change, 140, pp. 22–32. doi:10.1016/j.techfore.2018.11.025.

[32] Mafuzah, M., Zuraini Abdullah, Z. and Wan Noordiana Wan, H. (2018) ‘The Influences of Social Network Marketing on Student Purchase Intention in the Digital Era: The Mediating Role of Consumer Engagement’, Global Business and Management Research, 10(3), p. 938.

[33] khandelwal, M. (2023) Likert scale: Whats, WHYS, hows & everything to know in 2023, Everything you need to know about the Likert Scale Comments. Available at: https://www.surveysensum. com/blog/everything-you-need-to-know-about-the-likert-scale/ (Accessed: 05 July 2023).

[34] Kharpal, A. (2019) Everything you need to know about WeChat - China’s billion-user messaging app, CNBC. Available at: https://www.cnbc.com/2019/02/04/what-is-wechat-china-biggest-messaging-app.html (Accessed: 06 July 2023).

[35] Comrey, A.L. and Lee, H.B. (2016) A first course in factor analysis. New York, The US: Psychology Press.

[36] Ramaker, C. et al. (2002) ‘Systematic evaluation of rating scales for impairment and disability in parkinson’s disease’, Movement Disorders, 17(5), pp. 867–876. doi:10.1002/mds.10248.

[37] Shrestha, N. (2021) ‘Factor analysis as a tool for survey analysis’, American Journal of Applied Mathematics and Statistics, 9(1), pp. 4–11. doi:10.12691/ajams-9-1-2.

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Published

2024-12-12

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Section

Articles

How to Cite

Zhang, Xinyu. 2024. “The Effect of Social Media Live-Streaming Marketing on Consumers Engagement and Purchase Intention of Instant Noodle in China”. Frontiers in Economics and Management 5 (12): 13-23. https://doi.org/10.6981/FEM.202412_5(12).0002.