DocumentCode :
550289
Title :
Evolutionary game analysis of opportunistic behavior based on trust mechanism in purchasing alliance
Author :
Li Tian-Bao ; Xiong Wei-qing ; Chen Cheng
Author_Institution :
Inst. of Electron. Commerce & Logistics, Ningbo Univ., Ningbo, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
5392
Lastpage :
5399
Abstract :
Under asymmetric information environment, the evolutionary game model for opportunism behavior in purchasing alliance is established respectively in circumstances without preventative measures and introducing trust mechanism. Then, relevant conclusions are proved, and verified by means of numerical simulation. The result shows that, (1)The opportunism behavior will flood in the alliance without any preventive measures, and ultimately purchasing alliance will disintegrate. (2)Introducing trust mechanism, the opportunism behavior can be effectively restrained, when information cost is less, the opportunism behavior proportion is lower, trust and penalties are moderated; with few information cost, the opportunism behavior also can be effectively restrained through lower trust, higher penalty and more moderate adjusting purchasing enterprise and alliance factors, such as enterprise strength, learning ability, cooperation degree, cooperation intention, transparency and cooperation risk.
Keywords :
game theory; numerical analysis; purchasing; asymmetric information environment; cooperation degree factor; cooperation intention factor; cooperation risk factor; enterprise strength factor; evolutionary game analysis; learning ability factor; numerical simulation; opportunistic behavior model; purchasing alliance; purchasing enterprise factor; transparency factor; trust mechanism; Analytical models; Electronic mail; Floods; Games; Logistics; Numerical models; Numerical simulation; Asymmetric Information; Evolutionary Game; Opportunistic Behavior; Purchasing Alliance; Trust Mechanism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000627
Link To Document :
بازگشت