Review and Prospect of Data Asset Research: Based on Social Network Analysis Method

摘要

Background: Data assets are an important engine for the operation of the digital economy. However, research on this emerging field is scattered, and the research framework, research context and research direction are still unclear. Process: taking 278 articles in the past 20 years as a sample, social network analysis method is used to summarizes the research status of data assets from three research themes: how to define the connotation of data assets, how to accurately measure the value of data assets and how to complete data asset transaction. On the basis of summarizing the limitations of existing research, the future research directions are proposed: firstly, data commodity standardization research; secondly, externalization construct index system of data asset value evaluation; thirdly, intelligent dynamic pricing mechanism and system development. Meaning: This theoretical reference is provided for the related follow-up research of data assets, and has certain practical significance for releasing the data assets in the trading environment of the network platform.