企业数据要素供给动力因素组态效应研究  

The Configuration Effects of the Dynamic Factors of Enterprise Data Element Supply

作　　者：苏婉[1] 于森 葛晶[1] Su Wan;Yu Sen;Ge Jing(School of Business and Management,Jilin University,Changchun 130022,China)

机构地区：[1]吉林大学商学与管理学院,吉林长春130022

出　　处：《科技进步与对策》2024年第22期89-98,共10页Science & Technology Progress and Policy

基　　金：国家社会科学基金项目(23BTQ078)。

摘　　要：数字经济背景下,培育数据要素市场并引导企业积极参与数据要素市场化流通势在必行。基于势差理论和推拉理论,构建企业数据要素供给动力因素分析框架,采用必要条件分析(NCA)和模糊集定性比较分析(fsQCA)方法对311个数据要素型企业高管样本进行组态效应分析。结果显示,内外部动力因素共同驱动企业数据要素供给,凸显数据势能和数据势差等动力因素的重要性;企业数据要素供给意愿是多条件协同作用的结果,单个条件变量不能成为高供给意愿产生的必要条件;高供给意愿产生有5条组态路径,可归纳为政府支持—市场需求驱动型、内部—外部动力协同驱动型和政府支持—数据势差驱动型3种动力模式。结论可拓展势差理论、推拉理论在企业数据要素供给研究中的应用,为提升数据市场供方主体积极性提供启示。In the digital economy,it is crucial to cultivate a data element market and encourage enterprise participation in the market-oriented circulation of data elements.However,existing theories have not developed an effective analytical framework for understanding the dynamic factors of enterprise data element supply.Due to the unique characteristics of data elements compared to other production elements,current research primarily consists of theoretical studies and lacks empirical analysis,which hampers the ability to effectively explain the complex synergistic mechanisms of dynamic factors.Therefore,how to realize the effective incentivization of data release and participation in market-oriented circulation becomes a critical issue.To address this important question,this study follows the theories of potential difference and push-pull and aims to construct an analytical framework for the dynamic factors of enterprise data element supply from the perspectives of internal and external forces.Specifically,internal forces include data potential and economic benefits,while external forces encompass government support,data differentials,demand differentials,capability constraints,and risk constraints.Examining these forces is crucial for understanding the motivations and barriers that influence enterprise participation in data element supply activities.The study employs the NCA and fsQCA methods to analyze the configuration effects among a sample of 311 senior executives from data-driven enterprises.These methods enable a nuanced examination of the synergistic effects of various dynamic factors and provide a comprehensive understanding of the conditions that generate a high willingness to supply data elements.The study yields several significant conclusions.Firstly,the key internal(data potential and economic benefits)and external(government support,data differentials,market demand,capacity constraints,and risk constraints,etc.)dynamic factors affecting the supply of data elements to enterprises are identified and the imp

关 键 词：数据要素 数据供给 动力因素 数据势差 推拉理论 

分 类 号：F272.3[经济管理—企业管理]