Data Analysis for Live Streaming Behavior: Insights from a Bibliometric Analysis (2010–2024)
DOI:
https://doi.org/10.56294/dm2025987Keywords:
live streaming, social commerce, bibliometric analysis, co-citation network, VOSviewerAbstract
To elucidate the developmental trajectory of live streaming marketing re-search, this study conducts a quantitative bibliometric analysis and visualiza-tion of 216 peer-reviewed articles indexed in the Web of Science (WoS) core collection between 2010 and 2024, utilizing VOSviewer software. Through co-occurrence analysis, cluster analysis, and co-citation mapping, this re-search identifies evolving research hotspots, collaborative networks, and dis-ciplinary trends. Key findings include: (1) The establishment of a nascent yet fragmented author collaboration network, with core authors contributing 59,26 % of publications; (2) A dominance of retail and e-commerce-focused journals, notably “Journal of Retailing and Consumer Services” and “Frontiers in Psychology”, with open-access journals significantly advancing the field; (3) Rapid expansion in research breadth and depth over the past decade, driven by interdisciplinary explorations of consumer behavior, technological affordances and trust dynamics. This study synthesizes foundational literature, highlights methodological contribu-tions, and outlines future research directions to guide scholars and practition-ers in navigating this dynamic domain.
References
1. Chen, C. C., & Lin, Y. C.. What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 2018:35(1), 293-303.
2. Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010). The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis. J Am Soc Inf Sci Technol, 61(7), 1386-1409.
3. Cui, Y., Liu, Y., & Gu, M. (2022). Investigating the key drivers of impulsive buying behavior in live streaming. J Glob Inf Manag, 30(1), 1-18. https://doi.org/10.4018/jgim.314226.
4. De Bellis, N. Bibliometrics and citation analysis: from the science citation index to cybermetrics. Scarecrow Press; 2009.
5. Deng, M. W., Yang, Y. T., & Sun, B. Q. Research on the purchase intention of social commerce consumers in video streams: dual pathways of affection and rationality. Behav Sci. 2024;14(9):19. doi:10.3390/bs14090738
6. Fletcher, K. A., & Gbadamosi, A. Examining social media live stream's influence on the consumer decision-making: a thematic analysis. Electron Commer Res. 2024;24(3):2175–2205. doi:10.1007/s10660-022-09623-y
7. Fornell, C., & Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39–50. doi:10.2307/3151312
8. Garfield, E. Citation indexes for science: a new dimension in documentation through association of ideas. Science. 1955;122(3159):108–111.
9. Guo, Y., Zhang, K., & Wang, C. Way to success: understanding top streamer's popularity and influence from the perspective of source characteristics. J Retail Consum Serv. 2022;64:102786.
10. Hou, F., Guan, Z., Li, B., & Chong, A. Y. L. Factors influencing people’s continuous watching intention and consumption intention in live streaming: evidence from China. Internet Res. 2020;30(1):141–163.
11. Hu, M., & Chaudhry, S. S. Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet Res. 2020;30(3):1019–1041.
12. ITU. Global connectivity report 2022. Geneva: International Telecommunication Union; 2022. Available from: https://www.itu.int/itu-d/reports/statistics/global-connectivity-report-2022/index/ [cited 2025 Mar 4].
13. Kang, K., Lu, J., Guo, L., & Li, W. The dynamic effect of interactivity on customer engagement behavior through tie strength: evidence from live streaming commerce platforms. Int J Inf Manag. 2021;56:102251.
14. Li, J., & Wei, R. B. Research on the current status of VOSviewer application and its knowledge base. J Agric Libr Inf. 2022;34(6):61–71.
15. Lin, Y., Yao, D., & Chen, X. Happiness begets money: emotion and engagement in live streaming. J Mark Res. 2021;58(3):417–438.
16. Lu, B., & Chen, Z. Live streaming commerce and consumers’ purchase intention: an uncertainty reduction perspective. Inf Manag. 2021;58(7):103509.
17. Merton, R. K. The Matthew effect in science: the reward and communication systems of science are considered. Science. 1968;159(3810):56–63.
18. Park, H. J., & Lin, L. M. The effects of match-ups on the consumer attitudes toward internet celebrities and their live streaming contents in the context of product endorsement. J Retail Consum Serv. 2020;52:101934.
19. Pan, X., Yan, E., Cui, M., & Hua, W. Examining the usage, citation, and diffusion patterns of bibliometric mapping software: a comparative study of three tools. J Informetrics. 2018;12(2):481–493.
20. Price, D. Little science, big science. New York: Basic Books; 1963.
21. Statista. Gen Z: where the shopping journey starts 2023. Available from: https://www.statista.com/statistics/1395020/popular-channels-for-gen-z-to-start-shopping/ [cited 2025 Mar 4].
22. Sun, X. Consumer intention and usage behavior of live-streaming shopping: an extension of the unified theory of acceptance and use of technology. J Behav Sci. 2022;17(3):106–124.
23. Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. How live streaming influences purchase intentions in social commerce: an IT affordance perspective. Electron Commer Res Appl. 2019;37:100886.
24. Van Eck, N., & Waltman, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Sci Metr. 2010;84(2):523–538.
25. Van Eck, N. J., & Waltman, L. Text mining and visualization using VOSviewer. arXiv [preprint]. 2011. arXiv:1109.2058.
26. Van Eck, N. J., Waltman, L., Dekker, R., & Van Den Berg, J. A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOS. J Am Soc Inf Sci Technol. 2010;61(12):2405–2416.
27. Wongkitrungrueng, A., & Assarut, N. The role of live streaming in building consumer trust and engagement with social commerce sellers. J Bus Res. 2020;117:543–556.
28. Wongkitrungrueng, A., Dehouche, N., & Assarut, N. Live streaming commerce from the sellers’ perspective: implications for online relationship marketing. J Mark Manag. 2020;36(5–6):488–518.
29. Zhang, M., Qin, F., Wang, G. A., & Luo, C. The impact of live video streaming on online purchase intention. Serv Ind J. 2019;40(9–10):656–681. doi:10.1080/02642069.2019.1576642.
30. Shekhar, S. K., & Venugopal, P. Social marketing and consumer behavior: a bibliometric analysis. Future Bus J. 2025;11(1):85.
31. Ye, G., Hudders, L., De Jans, S., & De Veirman, M. The value of influencer marketing for business: a bibliometric analysis and managerial implications. J Advert. 2021;50(2):160–178.
32. Live streaming market size, share & growth report, 2030. Live streaming market size, share & growth report, 2030. Available from: https://www.grandviewresearch.com/industry-analysis/live-streaming-market-report [cited 2025 May 21].
33. Vogue Business in partnership with AliExpress. Live streaming ushers in a new era for e-commerce. Vogue Business. 2024. Available from: https://www.voguebusiness.com/story/technology/live-streaming-ushers-in-a-new-era-for-e-commerce [cited 2025 May 21].
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Copyright (c) 2025 Nuohan Li , Nadzirah Binti Rosli (Author)
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