Title :
Income Distribution of the R&D Alliances under the Supervision of the Third Party: Analysis Based on the Uncertain Condition
Author :
Xiang Wang ; Guodong Wu ; Weidong Meng
Author_Institution :
Sch. of Econ. & Manage., Chongqing Normal Univ., Chongqing, China
Abstract :
Although the Shapley value method can realize the fair income distribution of the R&D alliance, it cannot achieve the Pareto efficiency. We consider a R&D alliance with a supervisor as the third party in uncertain environments. When the alliance income exceeds the predetermined target income, the alliance income ought to be distributed completely among the R&D enterprises according to the Shapley value method. While once the alliance income is less than the target income, the R&D enterprises are supposed to be punished to some extent. Through the punishment mechanism, it can realize the Pareto efficiency optimization of the R&D alliance and meanwhile settle the conflict between the fairness and the efficiency brought by the mere use of the Shapley value.
Keywords :
game theory; outsourcing; research and development management; R and D alliance; R and D enterprises; Shapley value method; alliance income; fair income distribution; predetermined target income; punishment mechanism; target income; third party; uncertain environments; Dynamic scheduling; Economics; Educational institutions; Games; Optimization; Resource management; efficiency; fairness; income distribution; the R&D alliance; uncertainty;
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4778-2
DOI :
10.1109/BIFE.2013.87