Combining big data and statistical principles to analyze the online live broadcast goods market during the epidemic
Research on the Advantages and Disadvantages of Online Live Delivery Based on SWOT Analysis
- DOI
- 10.2991/978-94-6463-102-9_130How to use a DOI?
- Keywords
- Big data; Principles of Statistics; SWOT analysis; Webcast; COVID-19
- Abstract
The outbreak of the new epidemic at the end of 2020 has led to the economic depression of many physical industries. Among them, the online live broadcast cargo industry, as a new industry, has developed rapidly, greatly promoting China's economic development and solving the employment problem of some people during the epidemic. This paper uses big data to analyze the marketing data of each major live broadcast platform during the epidemic, analyzes the deep meaning behind the data in combination with statistical principles, and finally uses SWOT analysis method to study its advantages and disadvantages, and puts forward corresponding countermeasures and suggestions for the development of contemporary online live broadcast with goods.
- 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
TY - CONF AU - Zeting Hu AU - Lihong Du AU - Lu Shi PY - 2022 DA - 2022/12/29 TI - Combining big data and statistical principles to analyze the online live broadcast goods market during the epidemic BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 1263 EP - 1274 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_130 DO - 10.2991/978-94-6463-102-9_130 ID - Hu2022 ER -