This study systematically reviewed 5,465 research articles related to data business and data value from 2010 to 2024. The sample literature was analyzed using Bradford’s Law, Price’s Law, and CiteSpace to identify and extract the core elements influencing the realization of data business value. Based on the sample literature, the multiple value forms of data resources and their inherent logical relationships were deeply explored. It aims to clarify the creation mechanism, circulation mechanism and value-added mechanism in the process of data value transformation centered on data assetization, commercialization and capitalization, and provides an in-depth analysis of the commercial value transformation process from the perspective of technology, market and institutional dimension. The results of the study show that data, as a new resource, presents unique value forms at various stages of development, it corresponds to different value generation mechanisms at different stages of its conversion process. The contribution of the study is two-fold. First, it systematically reviews the research in the field of data commercial value, clarifying the three value forms of data and proposing the three transformation stages of data value. Second, it does not only reflect the multi-dimensional characteristics of value generation in the process of data commercialization but also points out the importance of data asset management. These research results have far-reaching theoretical significance and practical implications for the in-depth understanding of the commercial value of data as well as the promotion of the process of data assetization, data commercialization and data capitalization.
Qin et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: