incentive mechanism design
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Author(s):  
I Made Ariya Sanjaya ◽  
Suhono Harso Supangkat ◽  
Jaka Sembiring ◽  
Widya Liana Aji

<p>The growing utilization of smartphones equipped with various sensors to collect and analyze information around us highlights a paradigm called mobile crowdsensing. To motivate citizens’ participation in crowdsensing and compensate them for their resources, it is necessary to incentivize the participants for their sensing service. There are several studies that used the Stackelberg game to model the incentive mechanism, however, those studies did not include a budget constraint for limited budget case. Another challenge is to optimize crowdsourcer (government) profit in conducting crowdsensing under the limited budget then allocates the budget to several regional working units that are responsible for the specific city problems. We propose an incentive mechanism for mobile crowdsensing based on several identified incentive parameters using the Stackelberg game model and applied the MOOP (multi-objective optimization problem) to the incentive model in which the participant reputation is taken into account. The evaluation of the proposed incentive model is performed through simulations. The simulation indicated that the result appropriately corresponds to the theoretical properties of the model.</p>


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Chao Li ◽  
Na Zuo

The study examines optimal pollution control R&D investment strategy of firms under asymmetric information and further analyzes the impact of government incentive mechanism on it. We use stochastic optimal control theory to get the exact solution of R&D investment strategy and incentive mechanism. Our analysis reveals that if there is no supervisor, firms choose not to cooperate, but the government can take appropriate incentive compensation to make firms reach Nash equilibrium. If there are supervisors, the optimal strategy of the enterprise is to choose cooperation, and there will be Pareto optimum among the firms. Furthermore, the R&D investment level decreases with increasing environmental uncertainty.


Author(s):  
Yufeng Zhan ◽  
Jie Zhang ◽  
Zicong Hong ◽  
Leijie Wu ◽  
Peng Li ◽  
...  

Author(s):  
Jia Xu ◽  
Yuanhang Zhou ◽  
Yuqing Ding ◽  
Dejun Yang ◽  
Lijie Xu

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