DocumentCode :
2174474
Title :
Model of Risk Forewarning Control of R&D Investment Projects in Chinese Construction Enterprises and Empirical Study
Author :
Sheng, Shukai ; Wang, Chunyan
Author_Institution :
Sch. of Civil Eng. & Archit., Anhui Univ. of Sci. & Technol., HuaiNan, China
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
1
Lastpage :
4
Abstract :
After the entry of WTO, construction enterprises acutely need to improve the technology level through R&D activities for the market competitive ability. With the perfection of the mode of technology innovation dynamic mechanism and policy in Chinese construction industry, its enterprises will add the input of R&D extremely. Because of the uncertainties of R&D activity in construction enterprises, especially the character of easy-used of construction technology and the fluidity of construction professional, the investment of R&D is extremely likely to fail. So, the construction enterprises need to forewarn the risk of R&D investment projects. This paper prescribes the risk measurement of R&D investment projects in construction enterprises and builds the forewarning limitation based on the principle of system dependence and Shewhart control charts to warn the fluctuation of risk values of R&D investment projects in construction enterprises early. Then the mental trend of decision-makers in construction enterprises is correctly judged by the method of time series regression. In the last, the validity of the model is proved by a case.
Keywords :
construction industry; control charts; regression analysis; research and development management; risk management; time series; Chinese construction enterprise; R&D investment project; Shewhart control chart; risk forewarning control; risk measurement; technology innovation; time series regression; Biological system modeling; Construction industry; Decision making; Gaussian distribution; Investments; Reliability; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
Type :
conf
DOI :
10.1109/ICMSS.2010.5577223
Filename :
5577223
Link To Document :
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