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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1484-8
DOI :
10.1109/ICMLC.2012.6359488