The Analysis of the Factors Affecting of College Students' Network Consumption Behavior
International Journal of Humanities and Social Science |
© 2017 by SSRG - IJHSS Journal |
Volume 4 Issue 5 |
Year of Publication : 2017 |
Authors : Kang Anan and Guo Qian |
How to Cite?
Kang Anan and Guo Qian, "The Analysis of the Factors Affecting of College Students' Network Consumption Behavior," SSRG International Journal of Humanities and Social Science, vol. 4, no. 5, pp. 14-19, 2017. Crossref, https://doi.org/10.14445/23942703/IJHSS-V4I5P102
Abstract:
online shopping allows people to get on the emancipation of space and time, is a topic worthy of study. This large group of college students are able to quickly adapt to a very good reception and shop online form. At present, the network consumption of college students is becoming more and more mature, and already has the commonality of network consumption. Therefore, it is necessary to study the network consumption behavior of college students. This article, by reading the relevant literature and related theories statistics, consumer behavior, etc., design of the questionnaire on the impact of college students on the network of several aspects of consumer behavior, that is, individual factors, commodity factors, shop factors, consumer psychological factors and consumer’s future online shopping situation. According to the collected questionnaire data, descriptive statistical analysis was carried out, while, the data be analyzed using the statistical analysis software SPSS. Through the use of binomial Logistic regression analysis, factor analysis and correlation analysis, I finally concluded that in the network shopping college students are most concerned about the price of goods, while concerned about the reputation of the shop; the contrary, consumers are concerned about less the store design.
Keywords:
College students online shopping; Questionnaire; Binomial Logistic Regression Analysis; factor analysis.
References:
[1] CNNIC. Statistical Report on Chinese Internet Development [DB/OL].2016.
[2] Mingsheng He. Network Consumption: Theoretical Model and Behavior Analysis [M]. Heilongjiang People's Publishing House.2002.
[3] Jinyao Li, Liu Feng. Research Internet-based consumer behavior patterns [J]. Association for Science and Technology, 2007(2):66-68.
[4] Huang, Designing website attribute to induce experiential encounters, Computers in Human Behavior, 2003(4), 425— 442.
[5] Min Huang. Analysis of Network Consumers' Behavior [EB/OL].2012.4.http://blog.sina.com.cn/s/blog_85f5c7fc010 0yzyg.html.
[6] Hcc-Woong Kim, Xu Y Gupta. Which is more important in Internet shopping: perceived price or trust [J]. African Journal of Business Management, 2012, 6(24): 7379-7386.
[7] Jianping Zhu. Application of Multivariate Statistical Analysis [M]. Science and Technology Press.2006.