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

<Previous Article In Volume
Next Article In Volume>

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

Authors
Fangyu Zhu1, *
1Xidian University, Xi’an, 710126, China
*Corresponding author. Email: 20079100058@stu.xidian.edu.cn
Corresponding Author
Fangyu Zhu
Available Online 30 November 2023.
DOI
10.2991/978-94-6463-298-9_54How to use a DOI?
Keywords
Bigdata; Consumer Behavior; Online Purchasing
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.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
30 November 2023
ISBN
10.2991/978-94-6463-298-9_54
ISSN
2352-5428
DOI
10.2991/978-94-6463-298-9_54How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Fangyu Zhu
PY  - 2023
DA  - 2023/11/30
TI  - Behavior Analysis Based on Bigdata: Evidence from Live Streaming and College Students' Online Purchase Behavior
BT  - Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)
PB  - Atlantis Press
SP  - 497
EP  - 506
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-298-9_54
DO  - 10.2991/978-94-6463-298-9_54
ID  - Zhu2023
ER  -