Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Shi Kuiran is active.

Publication


Featured researches published by Shi Kuiran.


Kybernetes | 2009

Incentive mechanism design problem based on gradient dynamics

Shi Kuiran; Xiao Tiao-jun; Sheng Zhaohan

Purpose – The purpose of this paper is to study the incentive mechanism design problem of manager under the assumption of bounded rationality in the theoretical framework of principal‐agent relationship and provide some insights into the relationship between the economic agents rationality and incentive mechanism.Design/methodology/approach – The framework of principal‐agent relationship is based on the full rationality of the agents. However, the agents cannot make optimal decisions in the uncertain and imprecise environment. To capture the essence of incentive scheme, bounded rationality is introduced in the model and the gradient dynamics is applied in modelling bounded rational learning behavior. The corresponding single‐task principal‐agent problem is solved to obtain the second‐best contracts and the effort levels. Furthermore, the results are generalized for the multi‐task principal‐agent problem.Findings – The second‐best contract under the assumption of bounded rationality converges to the optim...Purpose – The purpose of this paper is to study the incentive mechanism design problem of manager under the assumption of bounded rationality in the theoretical framework of principal‐agent relationship and provide some insights into the relationship between the economic agents rationality and incentive mechanism.Design/methodology/approach – The framework of principal‐agent relationship is based on the full rationality of the agents. However, the agents cannot make optimal decisions in the uncertain and imprecise environment. To capture the essence of incentive scheme, bounded rationality is introduced in the model and the gradient dynamics is applied in modelling bounded rational learning behavior. The corresponding single‐task principal‐agent problem is solved to obtain the second‐best contracts and the effort levels. Furthermore, the results are generalized for the multi‐task principal‐agent problem.Findings – The second‐best contract under the assumption of bounded rationality converges to the optim...


Systems Engineering - Theory & Practice | 2004

Evolutionary Stable Strategy of Duopolistic Retailing Market

Shi Kuiran; Xiao Tiao-jun


industrial engineering and engineering management | 2005

Evolutionary Game Analysis of Price Strategies in Retailing Market

Shi Kuiran; Xiao Tiao-jun


Science and Technology Management Research | 2012

Research on Cooperation and Profit Allocation in Supply Chain Driven by Manufacturers

Shi Kuiran


Hubei Agricultural Sciences | 2012

Research on the Self-enforcing Mechanism of Option Contract on Agricultural Products

Shi Kuiran


Operations Research Transactions | 2011

A Class of LBFGS-Type Algorithms for Large-Scale Unconstrained Optimization ∗

Qian Xiao-yan; Shi Qingsheng; Liu Hao; Shi Kuiran


Journal of Systems Science and Mathematical Sciences | 2011

RESEARCH ON PRODUCTION SCOPE DECISION MODEL OF PERISHABLE PRODUCTS BASED ON THE CUSTOMER'S NO SHOW

Shi Kuiran


Journal of Nanjing University of Technology | 2011

Supply Chain Coordination in View of Loss-aversion and Fairness Concerns

Shi Kuiran


Journal of Shanghai Second Polytechnic University | 2006

Applying the Partial Order Graph in Curriculum-Design

Shi Kuiran


Journal of Nanjing University of Technology | 2004

A conjecture on sums of powers of natural numbers

Shi Kuiran

Collaboration


Dive into the Shi Kuiran's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Qian Xiao-yan

Nanjing University of Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge