数据生态链视角下战略性新兴企业数据价值评估研究

Research on data value evaluation of strategic emerging enterprises from the perspectiveof data ecological chain

数据作为一种新型生产要素在战略性新兴企业中发挥着重要作用,对数据进行价值评估是企业数据管理、交易和获利等活动的基础。从数据生态链运行的角度解构数据价值,根据数据生产、整合、传播、使用和分解5个环节来划分价值评估维度,并进一步细分为26个二级指标。采用熵权TOPSIS建立数据价值评估模型,对3家战略性新兴企业的数据价值进行实例分析,识别出数据结存体量、获取难度、集成规模、运载量和整合速度5个影响企业数据价值的关键因素。最后,结合数据生态链运行的特征提出提升企业数据管理能力和数据价值的相关建议。

As a new production factor, data plays an important role in strategic emerging firms. Data value assessment is the basis of data management, transaction, and profit. The data value is deconstructed from the perspective of data ecological chain operation. According to the five links of data production, integration, dissemination, use,and decomposition, the value evaluation dimension is divided into 26 secondary indicators. The entropy weight TOPSIS is used to establish the data value evaluation model. The data value of three strategic emerging firms is analyzed by examples. Five key factors affecting the data value of firms are identified, namely, data inventory volume,acquisition difficulty, integration scale, carrying capacity, and integration speed. Finally, combined with the characteristics of the operation of the data ecological chain, this paper puts forward relevant suggestions to improve the firms’ data management capability and the data value.