An Empirical Study on the Impact Mechanism of Big Data-based Precision Push Models on Consumers’ Online Buying Behavior in Southwest District of China
Abstract
In the era of big data, consumers, as the main body of the economy, had been affected to a large extent by purchasing behavior. This impact would have mainly been reflected in the changes in consumer behavior, coupled with the development of the e-commerce industry in society. Consumers did change from traditional physical store purchases to online purchases as consumers’ online purchases increased. However, in the face of many commodities, it would be difficult for users to find items of interest. The precision push model came into being the user’s mathematical modeling based on the user’s behavior characteristics for searching the user’s possible feelings in items of interest to users. However, whether the matching of the precise push mode and the user interacted effectively, promoting and stimulating the consumption behavior of consumers would still face the problem of accuracy and efficiency.References
[1] Bauer, D. et al. (2018). Consumption-Intention Formation in Education for Sustainable Development: An Adapted Model Based on the Theory of Planned Behavior. Sustainability 2018. Vol 10(10), p.445-461.
[2] Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarte. Vol 13(3), p.319 - 341.
[3] Liu, X. et al. (2003). Constructing a new type of customer satisfaction index model-based on the analysis of SCSB, ACSI, ECSI.
[4] Guo, L. et al. (2019). Research on the Integration of Big Data Technology and Precision Marketing in E-commerce Enterprises. 9th International Conference on Information and Social Science, p.168-172.
[5] Sonwaney, V. and Chincholkar, S. (2019). Identifying The Factors Impacting Online Consumer Buying Behaviour. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH. VOL 8 ISSUE 08, p.445-456.
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