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Abstract

Abstract

University students’ consumption plays a leading role in the level of social consumption. Taking Xiaohongshu, also called RED, meaning “little red book”, a popular social media in China, as a case, this paper scrutinizes the consumption characteristics of Chinese university students. To serve that purpose, a survey was administered in a university located at a second-tier city of China ( = 531). This paper mainly investigates whether contemporary university students have over-consumption behavior under the impact of social media and the factors and preferences that worry them in the consumption process, such as the senior style of bloggers, the type of recommended products, and so on. The result shows that product type, degree of trust, interactivity, quality of blog posts and videos, and consumption intention all have a positive and significant impact on students’ consumption behavior.

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/content/journals/10.1075/japc.00113.wei
2025-04-14
2025-04-17
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References

  1. Ajzen, I.
    (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes, (), –. 10.1016/0749‑5978(91)90020‑T
    https://doi.org/10.1016/0749-5978(91)90020-T [Google Scholar]
  2. Almahdi, M. H., Alsayed, N., Alabbas, A.
    (2022) In influencers we trust? A model of trust transfer in social media influencer marketing. In: Hamdan, A., Harraf, A., Arora, P., Alareeni, B., Khamis Hamdan, R. (Eds), Future of organizations and work after the 4th industrial revolution. Studies in computational intelligence, . Springer, Cham. 10.1007/978‑3‑030‑99000‑8_9
    https://doi.org/10.1007/978-3-030-99000-8_9 [Google Scholar]
  3. Barysevich, A.
    (2020) How social media influence 71% consumer buying decisions. Search Engine Watch. https://www.searchenginewatch.com/2020/11/20/how-social-media-influence-71-consumer-buying-decisions/ (accessedFebruary 3, 2024).
    [Google Scholar]
  4. Davis, F. D.
    (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, (), –. 10.2307/249008
    https://doi.org/10.2307/249008 [Google Scholar]
  5. Ding, H. P. & Guo, Y. X.
    (2022) Bilibili duan shipin dui daxuesheng xiaofei yingxiang xingwei de yanjiu. [Research on the influence of Bilibili short videos on university students’ consumption behavior] Journal of Changzhou Institute of Technology, (), –. 10.3969/j.issn.1671‑0436.2022.01.013
    https://doi.org/10.3969/j.issn.1671-0436.2022.01.013 [Google Scholar]
  6. Fan, F.
    (2022) Study on the business model of Xiaohongshu. Cooperative Economy and Technology, –. https://link.oversea.cnki.net/doi/10.13665/j.cnki.hzjjykj.2022.05.033 (accessedJune 23, 2024).
    [Google Scholar]
  7. Flaster, A.
    (2018) Kids, college, and capital: Parental financial support and college choice. Research in Higher Education, (), –. 10.1007/s11162‑018‑9496‑0
    https://doi.org/10.1007/s11162-018-9496-0 [Google Scholar]
  8. Gao, F. F., Cui, C. X. & Wu, Z. H.
    (2022) Wanghong jingji xia zimeiti dui daxuesheng xiaofei juece de yingxiang yinsu fenxi. [Analysis of the influencing factors of We-media on college students’ consumption decisions under the Internet celebrity economy]. Modern Marketing, (), –. 10.19932/j.cnki.22‑1256/F.2022.03.058
    https://doi.org/10.19932/j.cnki.22-1256/F.2022.03.058 [Google Scholar]
  9. Gao, X., Yee, C. L., & Choo, W. C.
    (2022) How attachment and community identification affect user stickiness in social commerce: A consumer engagement experience perspective. Sustainability, (), . 10.3390/su142013633
    https://doi.org/10.3390/su142013633 [Google Scholar]
  10. Gaubatz, P. & Hanink, D.
    (2020) Learning from Taiyuan: Chinese cities as urban sustainability laboratories. Geography and Sustainability, (), –. 10.1016/j.geosus.2020.06.004
    https://doi.org/10.1016/j.geosus.2020.06.004 [Google Scholar]
  11. Gutiérrez Flórez, L. E., Correa Escobar, M. I., Henao Restrepo, A., Arango Botero, D., & Valencia Arias, A.
    (2017) Influence of social networks on the purchase decisions of university students. Cuadernos de Gestión, (), –. 10.5295/cdg.150577lj
    https://doi.org/10.5295/cdg.150577lj [Google Scholar]
  12. Gutter, M. S., & Copur, Z.
    (2011) Financial behaviors and financial well-being of college students: Evidence from a national survey. Journal of Family and Economic Issues, (), –. 10.1007/s10834‑011‑9255‑2
    https://doi.org/10.1007/s10834-011-9255-2 [Google Scholar]
  13. Hang, Y., & Xu, Q. L.
    (2021) Xin meiti xia wanghong jingji dui daxuesheng xiaofei xingwei de yingxiang yanjiu. [Research on the influence of Internet celebrity economy under new media on college students’ consumption behavior]. Inner Mongolia Science and Technology and Economy (China), –.
    [Google Scholar]
  14. Harmeling, C. M., Moffett, J. W., Arnold, M. J., & Carlson, B. D.
    (2017) Toward a theory of customer. engagement marketing. Journal of the Academy of Marketing Science, , –. https://link.springer.com/article/10.1007/s11747-016-0509-2. 10.1007/s11747‑016‑0509‑2
    https://doi.org/10.1007/s11747-016-0509-2 [Google Scholar]
  15. iiMedia Research
    iiMedia Research (2024) 2024 nian Zhongguo daxuesheng xiaofei xingwei diaocha yanjiu baogao. [2024 China University Student Consumption Behavior Research Report.] Retrieved fromhttps://report.iimedia.cn/repo7-0/43632.html (accessedApril 1, 2024).
  16. Jun, S., & Yi, J.
    (2020) What makes followers loyal? The role of influencer interactivity in building influencer brand equity. Journal of Product & Brand Management, (), –. 10.1108/JPBM‑02‑2019‑2280
    https://doi.org/10.1108/JPBM-02-2019-2280 [Google Scholar]
  17. Kim, K. T., Hanna, S. D., & Chatterjee, S.
    (2020) The effect of financial socialization on young adults’ financial knowledge and behaviors. Journal of Consumer Affairs, (), –. 10.1111/joca.12289
    https://doi.org/10.1111/joca.12289 [Google Scholar]
  18. Kumar, V., & Mehendale, S.
    (2022) Personality type of consumers and their engagement with brands on Instagram. Cardiometry, . –. 10.18137/cardiometry.2022.23.468475
    https://doi.org/10.18137/cardiometry.2022.23.468475 [Google Scholar]
  19. Leppel, K., Williams, M. L., & Waldauer, C.
    (2001) The impact of parental occupation and socioeconomic status on choice of college major. Journal of Family and Economic Issues, (), –. 10.1023/A:1012716828901
    https://doi.org/10.1023/A:1012716828901 [Google Scholar]
  20. Li, X., & Qin, H.
    (2024) Duan shipin pingtai zhong wanghong dui daxuesheng jiazhiguan de yingxiang ji yingdui [The Impact of Internet Celebrity Culture on College Students’ Values and Coping Strategies in Short Video Platforms]. Advances in Social Sciences, (), –. 10.12677/ass.2024.134302
    https://doi.org/10.12677/ass.2024.134302 [Google Scholar]
  21. Lin, B., & Shen, B.
    (2023) Study of consumers’ purchase intentions on community E-commerce platform with. the SOR model: a case study of China’s “Xiaohongshu” app. Behavioral Sciences, (), . 10.3390/bs13020103
    https://doi.org/10.3390/bs13020103 [Google Scholar]
  22. Ma, Y.
    (2009) Family socioeconomic status, parental involvement, and college major choices — Gender, race/ethnic, and nativity patterns. Sociological Perspectives, (), –. 10.1525/sop.2009.52.2.211
    https://doi.org/10.1525/sop.2009.52.2.211 [Google Scholar]
  23. McLeod, L.
    (2020) Understanding red, the Chinese shopping app. LAT Multilingual, https://www.latmultilingual.com/blog/understanding-red-the-chinese-shopping-app/ (accessedFebruary 3, 2024).
    [Google Scholar]
  24. Mumu, J. R., Saona, P., Mamun, M. A. A., & Azad, M. A. K.
    (2022) Is trust gender biased? A bibliometric. review of trust in e-commerce. Journal of Internet Commerce, (), –. 10.1080/15332861.2021.1927437
    https://doi.org/10.1080/15332861.2021.1927437 [Google Scholar]
  25. Niu, R.
    (2023, September). A study on the influence of opinion leaders’ content production on fan. consumption behavior: Taking Xiaohongshu app as an example. In3rd International Conference on Economic Development and Business Culture (ICEDBC 2023), –. Atlantis Press. https://docker.atlantis-press.com/proceedings/icedbc-23/125991280
    [Google Scholar]
  26. Pelletier, M. J., Krallman, A., Adams, F., & Hancock, T.
    (2020) One size doesn’t fit all: A uses and gratifications analysis of social media platforms. Journal of Research in Interactive Marketing. 10.1108/JRIM‑10‑2019‑0159
    https://doi.org/10.1108/JRIM-10-2019-0159 [Google Scholar]
  27. QianGua Data
    QianGua Data (2021) 2021 Xiaohongshu huoyue yonghu huaxiang qushi baogao. [2021 Xiaohongshu active user profile trend report.] Retrieved fromhttps://finance.sina.com.cn/tech/2021-04-23/doc-ikmyaawc1278044.shtml (accessedMarch 7, 2021).
  28. Qiu, Q.
    (2023) Analysis of aesthetic homogeneity based on the theory of the society of the spectacle — taking Xiaohongshu as an example. InSHS Web of Conferences (). 10.1051/shsconf/202315902006
    https://doi.org/10.1051/shsconf/202315902006 [Google Scholar]
  29. Sun, Y., & Ly, T. P.
    (2023) The influence of word-of-web on customers’ purchasing process: The case of Xiaohongshu. Journal of China Tourism Research, (), –. 10.1080/19388160.2022.2057378
    https://doi.org/10.1080/19388160.2022.2057378 [Google Scholar]
  30. Tian, W., Xiao, Y., & Xu, L.
    (2021) What XiaoHongShu users care about: An analysis of online. Review Comments. In 2021 International Conference on Public Relations and Social Sciences (ICPRSS 2021), –. https://www.atlantis-press.com/proceedings/icprss-21/125961720. 10.2991/assehr.k.211020.186
    https://doi.org/10.2991/assehr.k.211020.186 [Google Scholar]
  31. Tifferet, S., & Herstein, R.
    (2012) Gender differences in brand commitment, impulse buying, and hedonic consumption. Journal of Product Brand Management, (), –. 10.1108/10610421211228793
    https://doi.org/10.1108/10610421211228793 [Google Scholar]
  32. Vincentius, V. U. T.
    (2022) Do age and gender affect willingness to leave reviews on e-commerce platforms?Journal of Theoretical and Applied Information Technology, (), www.jatit.org/volumes/Vol100No20/7Vol100No20.pdf
    [Google Scholar]
  33. Vlasova, H.
    (2022) College student spending statistics (facts & figures 2022). Admissonsly. https://admissionsly.com/college-student-spending-statistics/ (accessedMay 9, 2023).
    [Google Scholar]
  34. Wang, P., & Huang, Q.
    (2023) Digital influencers, social power and consumer engagement in social. commerce. Internet Research, (), –. 10.1108/INTR‑08‑2020‑0467
    https://doi.org/10.1108/INTR-08-2020-0467 [Google Scholar]
  35. Wang, Y.
    (2024) Xiaohongshu yingxiao dui yonghu lüyou juece yingxiang yinsu yanjiu. [Study on the Influencing Factors of Little Red Book Marketing on Users’ Travelling Decisions]. E-Commerce Letters, (), –. 10.12677/ecl.2024.133827
    https://doi.org/10.12677/ecl.2024.133827 [Google Scholar]
  36. Wang, Z., Huang, W. J., & Liu-Lastres, B.
    (2022) Impact of user-generated travel posts on travel decisions: A. comparative study on Weibo and Xiaohongshu. Annals of Tourism Research Empirical Insights, (), . 10.1016/j.annale.2022.100064
    https://doi.org/10.1016/j.annale.2022.100064 [Google Scholar]
  37. Wu, X.
    (2021) A qualitative analysis on Xiaohongshu: Conspicuous consumption, gender, social media. algorithms and surveillance. Major Research Projects (MA in Communication and New Media), , hdl.handle.net/11375/27211
    [Google Scholar]
  38. Yoon, S. Y., Choi, Y. J., & Oh, H.
    (2015) User attributes in processing 3D VR-enabled showroom: Gender, visual cognitive styles, and the sense of presence. International Journal of Human-Computer Studies, , –. 10.1016/j.ijhcs.2015.04.002
    https://doi.org/10.1016/j.ijhcs.2015.04.002 [Google Scholar]
  39. Zhang, Y., & Chen, L.
    (2023) The impact of social media on purchasing decisions: Evidence from second-tier city university students in China. Journal of Consumer Behavior Studies, (), –. 10.1016/j.jcbs.2023.07.002
    https://doi.org/10.1016/j.jcbs.2023.07.002 [Google Scholar]
  40. Zhou, Z.
    (2023) User Purchase Intent on social media: A Case Study Utilizing the SOR Model on Xiaohongshu. Highlights in Business, Economics and Management, , –. 10.54097/gt9ky947
    https://doi.org/10.54097/gt9ky947 [Google Scholar]
  41. Zhu, Y. & Hu, Y.
    (2022) Cong daxuesheng xiaofei xingwei kan Xiaohongshu fazhan xianzhuang [The development status of Xiaohongshu from the perspective of the consumption behavior of college students]. Modern Business (China). (), –. 10.14097/j.cnki.5392/2022.24.002
    https://doi.org/10.14097/j.cnki.5392/2022.24.002 [Google Scholar]
  42. Zhu, C., & Zhang, L.
    (2022) The impact of user generated content community marketing and network. interaction in Xiaohongshu app on consumers’ purchase intention. 13th International Conference on E-business, Management and Economics, –. hdl.handle.net/11375/27211. 10.1145/3556089.3556181
    https://doi.org/10.1145/3556089.3556181 [Google Scholar]
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  • Article Type: Research Article
Keywords: social media ; blogs ; Xiaohongshu ; consumption behavior ; China ; university students
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