Valuation of Enterprise Data Assets by Using the Improved Multi-Period Excess-Earnings Method
DOI: https://doi.org/10.62517/jiem.202303304
Author(s)
Xianhua Zhou*, Bo Zhang
Affiliation(s)
School of Management, Shenyang Jianzhu University, Shenyang, Liaoning, China
*Corresponding Author.
Abstract
With the arrival of the information age, data assets owned by enterprises are becoming increasingly abundant and important. In order to better manage and utilize these data assets, this article first comprehensively considering the factors that affect the value of enterprise data assets, then establishes a new data asset value evaluation system by using the improved multi-period excess-earnings method, and apply it in combination with case studies, so as to achieve the goal of improving the value evaluation of enterprise data assets and making the evaluation results of enterprise data assets more accurate.
Keywords
Data Assets; Asset Valuation; Improved Multi-Period Excess-Earnings Method; Analytic Hierarchy Process
References
[1] Zhang Zhigang, Yang Dongshu, Wu Hongxia. Research and Application of Data Asset Value Evaluation Model. Modern Electronic Technology, 2015, (20): 44-47
[2] Cui Jifeng, Yan Bin, Zhang Peng. Research and Exploration of Data Asset Management. China Electric Power Enterprise Management, 2014, (12): 94-95
[3] Xu Ziling et al. Evaluating the Value of Data Assets Using Multi period Excess Returns Method: A Case Study of M Communication Enterprise. China Asset Appraisal, 2022, (3): 73-80
[4] Liu Guiliang, Zhang Sansa, Xi Meng, et al. Improvement of Customer Resource Value Evaluation under Multi period Excess Income Method. China Asset Appraisal, 2017, (3): 28-35
[5] Zhang Xiaoyun, Zhao Xu, Liu Jiejiao. Selection of Key Fields in the New Materials Industry Based on AHP Fuzzy Comprehensive Evaluation: A Case Study of Xining National Economic and Technological Development Zone in Qinghai Province. Science and Technology Management Research, 2019, (16): 50-57
[6] Guo Dongdong, Mei Shuyang, Ling Peng. Research on the Value Evaluation of Commercial Data Assets Driven by Digital Economy. China Business Review, 2021, (24): 126-128
[7] Ye Shun, Li Yuanyuan. The Growth Path of Data Driven Enterprises - Taking Logistics Enterprises as an Example. Business Economics Research, 2021, (3): 134-136
[8] Wu Jiang, Ma Xiaoning, Zou Dan, et al. A railway data asset value evaluation method based on AHP-FCE. Railway Transport and Economy, 2021, (12): 80-86
[9] Xiao Xuejiao and Yang Feng. Valuation of Internet Enterprise Data Assets. Finance and Accounting Monthly, 2022, (18): 126-135
[10] Zhu Xiaoqin, Wang Xuantong. Review and Outlook on Data Asset Evaluation in the Context of Digital Economy. Finance and Accounting Monthly, 2023, (6): 78-84