西安邮政银行银保业务营销策略优化研究：国外文献综述

1.3 国内外文献综述

1.3.1 国外文献综述内容：

Chen, Y. (2015). Big data-driven marketing strategies: An application of retail industry in China. Journal of Business Research, 68(7), 1445-1450. Chen (2015) argues that big data can be used to improve marketing strategies in the retail industry, by providing insights into consumer behavior and preferences.
Huang, Z., Li, X., & Zhang, X. (2014). The application of big data in marketing and customer relationship management. Journal of Business Research, 67(11), 2107-2110. Huang, Li, and Zhang (2014) suggest that big data can be used to enhance customer relationship management and marketing strategies, by providing real-time insights into customer behavior and preferences.
Kwon, O., & Wen, Y. (2014). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 31, 182-191. Kwon and Wen (2014) examine the factors that influence the use of social network services, and suggest that understanding consumer behavior and preferences is key to effective marketing strategies.
Li, Y., & Wang, S. (2015). Big data in finance: From data mining to risk management. Finance Research Letters, 13, 1-10. Li and Wang (2015) discuss the use of big data in the finance industry, and suggest that it can be used to improve risk management and inform marketing strategies.
Wang, Y., Liang, X., & Huang, J. (2015). Big data analytics in e-commerce: A systematic review and agenda for future research. Electronic Commerce Research and Applications, 14(5), 261-271. Wang, Liang, and Huang (2015) review the use of big data analytics in e-commerce, and suggest that it can be used to improve marketing strategies and enhance customer experience.