研发投入、资源特征与大数据企业经营绩效  

R&D investment,Resource Characteristics and Business Performance of Big Data Enterprises

作　　者：岳宇君 孟渺 YUE Yu-jun;MENG Miao(School of Management,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]南京邮电大学管理学院,江苏南京210003

出　　处：《湖南科技大学学报（社会科学版）》2022年第2期74-85,共12页Journal of Hunan University of Science and Technology(Social Science Edition)

基　　金：国家自然科学基金面上项目(71173036);江苏现代信息服务业决策咨询研究基地项目(NYJD217010)。

摘　　要：基于2015年—2019年我国大数据企业的面板数据,实证检验了研发投入与企业经营绩效的关系,并进一步探究了财产性资源特征与技术性资源特征的调节效应。结果表明:研发人员投入与当期、滞后期企业经营绩效均呈正相关,且在滞后期影响更为显著;研发经费投入与当期企业经营绩效呈负相关,与滞后期企业经营绩效呈正相关;资产流动性在研发投入与企业经营绩效之间起着正向调节效应,技术积累程度在研发投入与企业经营绩效之间起着负向调节效应。因此,大数据企业应提高研发投入的合理性和有效性,重视资产流动性与研发投入、技术积累程度与研发投入的合理匹配。Based on the panel data of China’s big data enterprises from 2015 to 2019,the paper empirically tests the relationship between R&D investment and business performance,and further explores the regulatory effect of the characteristics of property resources and technical resources.The results show that R&D personnel investment is positively correlated with the business performance of enterprises in the current period and in the lag period,and the impact is more significant in the lag period;R&D expenditure has a negative correlation with the current business performance and a positive correlation with the business performance in the late stage;Asset liquidity plays a positive regulatory effect between R&D investment and business performance,and the degree of technology accumulation plays a negative regulatory effect between R&D investment and business performance.Therefore,big data enterprises should improve the rationality and effectiveness of R&D investment,and pay attention to the reasonable matching between asset liquidity and R&D investment,and the degree of technology accumulation and R&D investment.

关 键 词：大数据企业 研发投入 资源特征 经营绩效 

分 类 号：F49[经济管理—产业经济] F124.3