Journal of Risk Analysis and Crisis Response

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Volume 9, Issue 3, October 2019, Pages 145 - 148

Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA

Authors
Xinpu Wang1, 2, Mu Zang1, *
1College of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang 550025, China
2Guizhou Institution for Technology Innovation & Entrepreneurship Investment, Guizhou University of Finance and Economics, Guiyang 550025, China
*Corresponding author. Email: rim_007@163.com
Corresponding Author
Mu Zang
Received 28 January 2019, Accepted 18 March 2019, Available Online 31 October 2019.
DOI
10.2991/jracr.k.191024.004How to use a DOI?
Keywords
DEA; big data enterprise; technological innovation efficiency
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.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
9 - 3
Pages
145 - 148
Publication Date
2019/10/31
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jracr.k.191024.004How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

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TY  - JOUR
AU  - Xinpu Wang
AU  - Mu Zang
PY  - 2019
DA  - 2019/10/31
TI  - Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA
JO  - Journal of Risk Analysis and Crisis Response
SP  - 145
EP  - 148
VL  - 9
IS  - 3
SN  - 2210-8505
UR  - https://doi.org/10.2991/jracr.k.191024.004
DO  - 10.2991/jracr.k.191024.004
ID  - Wang2019
ER  -