Abstract

The "Digital China" agenda has made data assets crucial for enterprises’ competitiveness, especially on the Internet sector. However, the current method of evaluating their worth needs improvement. Taking K Company as an example, this study, based on analytic hierarchy process, uses the binomial tree model to evaluate the value of data assets by determining their potential worth. It aims to promote the growth of the data economy and digital transformation in manufacturing organizations by focusing on revenue.

Keywords

Data Asset Evaluation / Internet enterprise / APH Approach / Binomial Tree Option Pricing Model / K Company

2024 International Conference on Economic Management and Information Technology

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