Research on the Evaluation System of Implementation Effect of Learning-Oriented Construction Enterprise Based on Matter-Element Model

Article Preview

Abstract:

Against the background of Chinese construction enterprise constructing learning-oriented enterprise, this essay probes into the methods of evaluating the implementation effect of Chinese learning-oriented construction enterprise. The evaluation system of implementation effect of Chinese learning-oriented construction enterprise is constructed from four aspects, i.e. social satisfaction, interior operation, financial position as well as learning and growth and evaluation model of implementation effect is also built based on matter-element model.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2419-2422

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Hurley R F, Hult G T M. 1998. Innovation, market orientation, and organizational learning: an integration and empirical examination, The Journal of Marketing, 42-54.

DOI: 10.1177/002224299806200303

Google Scholar

[2] Sambrook S, Stewart J. 2000. Factors influencing learning in European learning oriented organisations: issues for management, Journal of European Industrial Training, 24(2/3/4): 209-219.

DOI: 10.1108/03090590010321179

Google Scholar

[3] Ru-zhong L I. 2005. Fuzzy Matter-element Model and Its Application to Water Security Evaluation , Research of Soil and Water Conservation, 5: 056.

Google Scholar

[4] Tang Liang, Shen Ju-Qin, Liu Bo. 2013. Study on evaluation method of corporate social responsibility based on fuzzy consistent matrix. Advanced Materials Research, vol734-737: 3362-3365.

DOI: 10.4028/www.scientific.net/amr.734-737.3362

Google Scholar

[5] Liang Tang, Shen Ju-Qin, Bo Liu, Zhao-Jian Meng, Zi-Lin Xu. 2013. Study on the evaluation of environmental cost for coal resource development based on the improved fuzzy mathematics, Journal of Applied Sciences, 13(21), 4628-4631.

DOI: 10.3923/jas.2013.4628.4631

Google Scholar