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Behavior Analysis Based on Bigdata: Evidence from Live Streaming and College Students' Online Purchase Behavior

In: Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)

Author

Listed:
  • Fangyu Zhu

    (Xidian University)

Abstract

Contemporarily, bigdata technique has been widely implemented in various fields. Based on the background of bigdata, this study briefly describes the application and commonly used models of big data analysis in consumer behavior. With the help of the TAM model and the SOR model, the situations for using data analysis in consumer behavior are specifically analyzed: webcast delivery of goods and college students' buying habits on the internet. According to the model, the impact mechanism is summarized and analyzed, and then relevant suggestions are put forward based on the model analysis results. It is concluded that perceived usefulness, perceived ease of use, user's willingness to interact with information and immersive experience have an important impact on consumer purchase behavior. For students at colleges, they increased focus on quality of product and the advertising interaction, which have the greatest impact on final purchase behavior. Finally, the phenomenon of "big data killing familiarity" and suggestions for improvement are mentioned.

Suggested Citation

  • Fangyu Zhu, 2023. "Behavior Analysis Based on Bigdata: Evidence from Live Streaming and College Students' Online Purchase Behavior," Advances in Economics, Business and Management Research, in: Amalendu Bhunia & Rubi Binti Ahmad & Yifeng Zhu (ed.), Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023), pages 497-506, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-298-9_54
    DOI: 10.2991/978-94-6463-298-9_54
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