Analysis of the Development Trend of E-Commerce Based on Network Intelligence Technology: The Case of Jing Dong (JD)
- DOI
- 10.2991/978-94-6463-016-9_58How to use a DOI?
- Keywords
- Network intelligence technology; Development trend; e-commerce; JD
- Abstract
With the continuous development of e-commerce, how to develop e-commerce in the future is the direction for enterprises to consider. This paper takes Jingdong (JD) e-commerce company as an example, and analyzes the development trend of this e-commerce company based on network intelligence technology: analyzes the current situation of JD.com, collects JD's annual balance sheet and profit and loss statement through network intelligence technology, and calculates its relevant financial ratios. Comparative analysis of financial ratios enables us to intuitively understand the economic status of assets, liabilities and shareholders’ equity, and use computer technology to conduct Excel modeling analysis to visually view the company's financial trends, providing information for external investors, suppliers, Distributors and other stakeholders provide intuitive data analysis.
- 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 - Yunlin Chen PY - 2022 DA - 2022/12/07 TI - Analysis of the Development Trend of E-Commerce Based on Network Intelligence Technology: The Case of Jing Dong (JD) BT - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022) PB - Atlantis Press SP - 562 EP - 568 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-016-9_58 DO - 10.2991/978-94-6463-016-9_58 ID - Chen2022 ER -