Research on the Value of Data Assets of Companies Based on GA-BP Neural Network E-commerce Platform — Take Pinduoduo as an Example
School of Economics and Finance, Chongqing University of Technology, Chongqing 401320, China
| Abstract: | With the rapid advancement of IoT technology, data has become one of the most valuable assets in a business. Therefore, it is important to have a reasonable and effective evaluation of data assets. However, traditional asset data valuation methods do have their inherent drawbacks. In order to solve this problem, it is necessary to establish a set of data asset evaluation models suitable for big data analysis and data mining. Through an in-depth discussion of the literature, this paper proposes an algorithm based on reverse propagation nerves based on Pinduoduo e-commerce platform. On this basis, 7 core indicators that will affect the value of data assets are listed, and an evaluation model of GA-BP neural network is constructed. After in-depth analysis of the results of the model, it is found that the model shows excellent accuracy and efficiency in evaluating the value of data assets, which provides solid scientific support for the company in the management and decision-making process of data assets. |
| Keywords: | Data Assets; Pinduoduo; GA-BP Neural Network; E-commerce Platforms |
| DOI: | 10.57237/j.wjeb.2024.02.003 |
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Received: 14 October 2024
Accepted: 19 November 2024
Published Online: 9 January 2025
Funding
| 1. | 重庆理工大学研究生创新项目资助 (基金号: gzlcx20233269) |
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