Search

The operational decision-making of low-carbon supply chains with different market structures is studied under the conditions of monopoly and duopoly competition. Considering that the uncertainty about investment in emission reduction technology innovation will lead to disappointment aversion among manufacturers. The constructing corresponding game models are constructed in both cases, and the relevant decision-making issues such as the investment level in emission reduction technologies and pricing of the low-carbon supply chains are discussed. The results show that in a monopoly situation, the investment level in emission reduction technologies, and the manufacturer utility are all negatively related to the disappointment aversion coefficient, and positively related to the investment cost efficiency of emission reduction technologies. In a competitive situation, whether low-carbon manufacturers dominate or both parties have equal power, equilibrium results are negatively related to the disappointment aversion coefficient, and positively related to the unit travel cost of consumers, retail price of low-carbon products are higher when low-carbon manufacturers dominate than that when power is equal; the investment level in emission reduction technologies when low-carbon manufacturers are dominant is lower than that when the powers of the two parties are equal, and in all power structures, the expected profit and utility of low-carbon manufacturers are negatively related to the investment cost coefficient in emission reduction technologies, while ordinary manufacturers are on the contrary. [ABSTRACT FROM AUTHOR]

This paper characterized the dietary characteristics of the catering consumer group from sales data of Chinese optional restaurants and predicted the dish sales of the restaurant. Due to the huge changes in the daily dishes served in Chinese optional restaurants, traditional time series forecasting methods can hardly solve the problem. This paper proposed a forecas ting model based on decision theory. It used the MACBETII method and the expected utility theory to transform the restaurant 's dishes into a unified utility value, which served as the basis for the dining group to choose dishes, used the decision weight to represent the dietary characteristics of the consumer group, and then designed a decision model for catering consumers based on the behavioral decision theory. This paper used the running data of Chinese optional restaurants for training. The crossentropy of the prediction model on the training set is 0. 082 and the cross -entropy on the test set is 0 . 086. Compared with the prediction model based on neural network, the model is more accurate and has good interpretability. Therefore, the model can accurately predict the sales volume of Chinese optional restaurants under a given dish supply, thereby supporting the efficient operation of Chinese optional restaurants . [ABSTRACT FROM AUTHOR]

From the dual perspective of the insured and the investment institutions, this paper studies the impact of minimum return guarantee system and investment management fee system on the optimal asset allocation of pension funds. We assume that the insured entrust the pension fund to the investment institutions for operation and management. The optimization goal of the insured and the investment institution is to maximize the expected utility of their wealth at the end of the investment period respectively. Under the framework of random interest rate, the solution of pension fund investment strategies under different models is obtained by stochastic dynamic programming. Research shows that:the minimum return guarantee system and profit sharing mechanism can both reduce the proportion of the risk assets, improve the insured's expected utility. If the minimum return guarantee is higher or the profit sharing rate is lower, the proportion of the risk assets will be lower. The insured can set different investment management rates for investment institutions with different risk preferences to ensure that the investment institutions can simultaneously maximize the expected utility of the insured. [ABSTRACT FROM AUTHOR]

We develop the expected utility function model of referring patients from a comprehensive hospital to a community healthcare centre using M/M/1 queueing and game theory in a hierarchical healthcare system. The equilibrium downstream referral rates and equilibrium utilities of hospitals are obtained. We find that the equilibrium downstream referral rates increase with the patients' preference for the comprehensive hospital. The lower the difference between partition criterion of two-stage treatment, the lower the equilibrium downstream referral rates, which benefits the hospital. When the motivation of the comprehensive hospital with patients referral is low, we can achieve all-win of the comprehensive hospital, the community healthcare centre and the whole healthcare system by a payment strategy. We use a numerical experiment to discuss the effect of payment on equilibrium downstream referral rates and equilibrium utilities, and compare the equilibrium downstream referral rates and equilibrium utilities in the payment strategy and the non-payment strategy cases, then give some management implications and provide some theoretical support and policy reference to promote effective implementation of referral. [ABSTRACT FROM AUTHOR]

Utility maximization is one of the most important and fundamental questions in economics and finance. The classical model of von Neumann-Morgenstern's expected utility is challenged by many facts in applications. Yaari5s dual utility is one of important models of non-expected utilities. We investigate Yaari's dual utility maximization in complete financial markets. In the existing literature, the optimal solution of this question was explicitly characterized and reported under some monotonicity condition. In this paper, the explicit characterization is provided without any monotonicity condition. [ABSTRACT FROM AUTHOR]

This paper establishes a user equilibrium model based on the cumulative prospect theory (CPT) for a degradable transport network and shows the solution existence of the model. In numerical experiments, the study calculates the network equilibrium flow pattern based on the expected utility theory (EUT) and CPT, respectively. The results of the comparison between them indicate that the CPT-based model is superior to the EUT-based model in describing the travelers' route choice decision processes. [ABSTRACT FROM AUTHOR]