Profit distribution model of industry-university-research alliance based on Shapley algorithm
Tao Wang, You Jiang
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 504-508
Marketing management, Wuhan University, Wuhan, 430072, Hubei, China
Traditional Shapley algorithm is unfair in the profit distribution of industry-university-research alliance. In view of this situation, this paper puts forward a profit distribution model based on improved Shapley algorithm optimized by fairness factors. It firstly evaluates the contribution ratio of each member in the alliance with contribution factor, and then evaluates the risk each member bears with risk factor, evaluates the technological innovation ability with technological innovation factor, and finally adjusts the profit distribution with these evaluation results to get the final distribution. Simulation results show that compared with traditional Shapley algorithm, the improved Shapley algorithm is fairer and more stable, and makes the satisfaction degree of each member in accordance, which is conducive to the sustainable development of industry-university-research alliance.