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

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...

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Main Authors: Xinpu Wang, Mu Zang
Format: Article
Language:English
Published: Society for Risk Analysis - China 2019-11-01
Series:Journal of Risk Analysis and Crisis Response (JRACR)
Subjects:
Online Access:https://www.atlantis-press.com/article/125921496/view
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author Xinpu Wang
Mu Zang
author_facet Xinpu Wang
Mu Zang
author_sort Xinpu Wang
collection DOAJ
description 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.
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spelling doaj.art-4d15ff4bf99649c18e70c51e2949c9732022-12-22T02:44:03ZengSociety for Risk Analysis - ChinaJournal of Risk Analysis and Crisis Response (JRACR)2210-85052019-11-019310.2991/jracr.k.191024.004Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEAXinpu WangMu ZangDiscussing 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.https://www.atlantis-press.com/article/125921496/viewDEAbig data enterprisetechnological innovation efficiency
spellingShingle Xinpu Wang
Mu Zang
Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA
Journal of Risk Analysis and Crisis Response (JRACR)
DEA
big data enterprise
technological innovation efficiency
title Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA
title_full Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA
title_fullStr Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA
title_full_unstemmed Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA
title_short Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA
title_sort evaluation on technology innovation efficiency of big data enterprises based on dea
topic DEA
big data enterprise
technological innovation efficiency
url https://www.atlantis-press.com/article/125921496/view
work_keys_str_mv AT xinpuwang evaluationontechnologyinnovationefficiencyofbigdataenterprisesbasedondea
AT muzang evaluationontechnologyinnovationefficiencyofbigdataenterprisesbasedondea