Effect Analysis of Service Supply Chain with Dynamic Game under the Condition of Sensitive Demand

Abstract

Under the real circumstances of service supply chain, there is one demand appearing as the sensitive feature, to face the increasing uncertainty. It could be elaborated upon the decision variables such as price, quantity, and efforts. The member behaviors are operated and coordinated in the process of multiperiod dynamic game. Based on the multiperiod dynamic game theory, the service demand and price, quantity of goods, and efforts of members in the secondary service supply chain are considered. The paper discusses the reputation effect and ratchet effect in the multiperiod dynamic game service supply chain. Additionally, the paper describes this problem, builds a programming model based on the multiperiod dynamic game, and deduces the optimal solution. Furthermore, the paper analyzes the impact of reputation effect and ratchet effect on the agent’s revenue. Through the simulation, it is found that the agency efforts are a combination result of reputation effect and ratchet effect in the process of multiperiod dynamic game. Through the long-term dynamic game, the short-term moral risk in service supply chain can be restrained so that the result under the asymmetric information is the same as that under the complete information.

Differential game model and coordination model for green supply chain based on green technology research and development

“…The market demand for a good is negatively related to the market price and positively related to the greenness of the product ( Sexton, 2020 ; Zhou and Ju, 2015 ). Therefore, the market demand function can be expressed as: Where, denotes total market demand, denotes price sensitivity, and is expressed as the overall consumer environmental awareness, reflecting consumer sensitivity to the product's greenness.…”

“…Assumption 5. The market demand for a good is negatively related to the market price ( ) and positively related to the greenness of the product ( ) (Sexton, 2020; Zhou and Ju, 2015). Therefore, the market demand function can be expressed as:…”