DocumentCode
578372
Title
A new DEA model on science and technology resources of industrial enterprises
Author
Li-na Yuan ; Li-Na Tian
Author_Institution
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
3
fYear
2012
fDate
15-17 July 2012
Firstpage
986
Lastpage
990
Abstract
The science and technology resources play a key role in the development of society and economy. DEA (data envelopment analysis) can be used to gauge overall efficiency. DEA is an empirical method which is used to evaluate the relative effectiveness of decision-making units (DMUs). The DEA has long been applied to assess operational performance in public and private sectors and a two-stage DEA method has been developed. Relative to the traditional DEA approach, two-stage DEA method has the advantage that it can not only provide the overall efficiency values of the evaluated objects, but also the values of each stage. Using the two-stage method, DEA model, this paper gives an analysis of the science and technology resources efficiency of industrial enterprises and its influencing factor. The results reflected the independence of input element and the concentration of output element.
Keywords
data envelopment analysis; decision making; enterprise resource planning; DEA model; DMU; data envelopment analysis; decision-making units; industrial enterprises; operational performance; private sectors; public sectors; science and technology resource efficiency; two-stage DEA method; Abstracts; Analytical models; Atmospheric measurements; Computational modeling; Educational institutions; Indexes; Particle measurements; Data envelopment analysis (DEA); Efficiency evaluation; Industrial enterprises; Science and technology resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location
Xian
ISSN
2160-133X
Print_ISBN
978-1-4673-1484-8
Type
conf
DOI
10.1109/ICMLC.2012.6359488
Filename
6359488
Link To Document