The Impact Index and Dynamic Forecast of the Retail New business formats based on Internet Big Data

被引：0
|
作者：
RB Wang [1 ]
JY Shen [1 ]
XR Wang [1 ]
Y Li [1 ]
机构：
[1] Nanjing Univ Finance & Econ, Sch Int Econ & Trade, Nanjing, Peoples R China
来源：
5TH INTERNATIONAL CONFERENCE ON E-COMMERCE, E-BUSINESS AND E-GOVERNMENT, ICEEG 2021 | 2021年
关键词：
Baidu index; Principal component analysis; Time Series Multiplicative Seasonal Model; Retail Format;
D O I：
10.1145/3466029.3466031
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We take the development of retail formats under COVID-19 as an example, using online search data to establish a retail format index to reflect the impact of online retail formats and trends of the impact under COVID-19. Therefore, a time series model of the retail format index was established to achieve an ideal forecast effect, and a short-term dynamic forecast of the impact of COVID-19 offline retail formats was achieved. Based on the special nature of the new online business format, we start from online fresh food, online education, and online office, we use online search data to construct a retail format index. It also has a certain significance to analyze the retail format data statistics, predict trends, and study the impact of COVID-19 on the retail format.
引用
收藏
页码：73 / 78
页数：6
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