企业科研人员开放科研数据意愿影响因素研究

Data elements are gradually becoming key production factors and important strategic resources for socio - economic development, and research data have likewise become an important production material for triggering research and active scientific activities. Enterprises are often positioned as users in the open research data, believing that research data are beneficial for strengthening enterprise product development and consulting services. In the reality that open research data in academia is growing and long way to go in enterprises, it is a new way to focus on the research data and open behavior of enterprise researchers. Enterprise researchers have a large number of high - value research data and transformation data of research achievements, understanding the factors influencing the willingness of enterprise researchers to open their research data and encouraging them to open their research data, will help to release the potential of research data, to improve the efficiency of research data allocation and reuse, to help enterprises gradually build an open and shared research data system, to realize the value reengineering from data elements to research productivity, and to promote the deep cycle and integration and innovation of industry - university - research. Meanwhile, it is complicated for enterprise researchers to open research data. To explore the influence mechanism of their willingness to open research data, it is necessary to analyze the influence paths of the antecedent variables on the willingness to open research data, as well as to analyze the specific causal factors affecting the willingness to open research data, so as to supplement the influence scenarios from the detailed elements, and realize the multi - level investigation of the influence factors on the willingness to open research data. Therefore, based on the technology acceptance model and expectation confirmation model, this paper constructs a model of enterprise researchers' willingness to open research data. The PLS structural equation model is used to conduct empirical analysis on the questionnaire data and research model, and the social network analysis method is used to mine the motivation factors and concern factors that affect the willingness of enterprise researchers to open their research data. Through the research model testing, it is found that perceived research data quality, perceived research data value and open research data acceptance have significant positive effects on open research data willingness, and academic age of enterprise researchers shows a positive moderating effect in open research data acceptance and open research data willingness. Through the excavation of detailed incentives, it is found that data policy, data privacy, data copyright, data abuse, sensitive information accreditation and institutional requirements have significant effects on enterprise researchers' willingness to open up. By analyzing the mechanisms influencing the willingness of enterprise researchers to open research data, this paper broadens the research on the development path of enterprise data, and in practice relevant management suggestions are provided to promote the in - depth cooperation and integration innovation between enterprise, university and research institute, including improving data protection to ensure data quality, enhancing data atmosphere to improve data value, strengthening data policies to trigger professional recognition, and establishing data platforms to expand participation paths.