1. Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA
- Author
-
Xinpu Wang and Mu Zang
- Subjects
DEA ,big data enterprise ,technological innovation efficiency ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Risk in industry. Risk management ,HD61 - Abstract
Discussing the technological innovation efficiency of big data enterprises and carrying out in-depth research on big data enterprises will help to accurately evaluate the development status of big data industry and guide the development of big data industry. This paper uses DEA-BCC model to evaluate the technological innovation efficiency of 21 big data enterprises. It is found that the technological innovation efficiency of big data enterprises is better. The average values of technological efficiency, pure technological efficiency and scale efficiency are 0.587, 0.772 and 0.750, respectively. The technological efficiency of big data enterprises is lower, and the individual differences are larger. At the same time, the research shows that there are 15 big data enterprises need to further expand the scale, and then improve production efficiency.
- Published
- 2019
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