Exploring the cooperation-cooperation mode between scenic spots and tourism enterprises under the dual-channel tourism supply chain

As the two most important nodes in the tourism supply chain, the competition, as well as the cooperation relationship between scenic spots and tourism enterprises, has a profound impact on the healthy development of the tourism industry. In this paper, we establish a dual-channel tourism supply chain model by making many assumptions about the operations of scenic spots and tourism enterprises. According to repeated game theory, we find that there is a certain trigger strategy for equilibrium strategy between scenic spots and tourism enterprises, and the cooperation-cooperation strategy is the optimal choice for scenic spots and tourism enterprises at this time.

The Achilles tendon of dynamic pricing –– the effect of consumers' fairness preferences on platform's dynamic pricing strategies

PurposeIn this paper, the authors study the effect of consumers' fairness preferences on dynamic pricing strategies adopted by platforms in a non-cooperative game.Design/methodology/approachThis study applies fair game and repeated game theory.FindingsThis study reveals that, in a one-shot game, if consumers have fairness preferences, dynamic prices will slightly decline. In a repeated game, dynamic prices will be reduced even when consumers do not have fairness preferences. When fairness preferences and repeated game are considered simultaneously, dynamic prices are most likely to be set at fair prices. The authors also discuss the effect of platforms' discounting factors, the consumers' income and alternative choices of consumption on the dynamic prices.Research limitations/implicationsThe study findings illustrate the importance of incorporating behavioral elements in understanding and designing the dynamic pricing strategies for platforms and the implications on social welfare in general.Originality/valueThe authors developed a theoretical model to incorporate consumers' fairness preference into the decision-making process of platforms when they design the dynamic pricing strategies.

Oligopolistic Price Leadership and Mergers: The United States Beer Industry

We study a repeated game of price leadership in which a firm proposes supermarkups over Bertrand prices to a coalition of rivals. Supermarkups and marginal costs are recoverable from data on prices and quantities using the model’s structure. In an application to the beer industry, we find that price leadership increases profit relative to Bertrand competition by 17 percent in fiscal years 2006 and 2007, and by 22 percent in 2010 and 2011, with the change mostly due to consolidation. We simulate two mergers, which relax binding incentive compatibility constraints and increase supermarkups. These coordinated effects arise even with efficiencies that offset price increases under Bertrand competition. (JEL G34, K21, L13, L14, L41, L66)

Evolutionary Games and Dynamics in Public Goods Supply with Repetitive Actions

Based on a tripartite game model among suppliers of public goods, consumers, and the government, a tripartite repeated game model is constructed to analyze the evolution mechanism of which suppliers supply at low prices, consumers purchase, and the government provides incentives, and to establish the dynamics system of a repeated game. The equilibrium points of the evolutionary game are solved, and among them, the equilibrium points are found to satisfy the parameter conditions of ESS. The numerical simulation is employed to verify the impact of penalty coefficients and discount factors on the stability of strategies, which are adopted by the three players in a tripartite repeated game on public goods, and scenario analyses are conducted. The research results of this paper could provide a reference for the government, suppliers, and consumers to make rapid decisions, who are in the supply chain of public goods, especially quasi-public goods, such as coal, water, electricity, and gas, and help them to obtain stable incomes and then ensure the stable operation of the market.

A Manipulation Game Based on Machiavellian Strategies

This paper suggests a manipulation game based on Machiavellianism, which is characterized by three concepts: views, tactics, and immorality. We consider a framework where manipulating players can partially control manipulated players’ information and affect both manipulated players’ information and their allocations. The parties involved are constrained both by adverse selection and moral hazard (immorality) restricted to a class of ergodic Bayesian–Markov problems. We investigate a mechanism that maximize the probability that the manipulated players accept the proposal of the manipulators. We show that a mechanism exists and can be found by solving a nonlinear programming problem for a set of constraints. The mechanism is obtained by introducing an auxiliary variable in the nonlinear programming problem and we develop the relations needed to derive the variables of interest. For the manipulation process, players learn their behavior through a sequence of interactions in a repeated game. The manipulators possess and benefit from some commitment power, which describes the distinctive nature of a manipulation game (views). Then, we represent the game using a Stackelberg model. We also compute the Stackelberg equilibrium (tactics) for our game of incomplete information. This novel perspective is of interest for the Bayesian manipulation and persuasion literature. A simulation and analysis over an example for manipulating emotions in negotiation verify the applicability of proposed model.

Fine cartels

This paper studies a simple model of a repeated cartel that can punish using both voluntary fines and inefficient prices wars. The idea is to use the fines in response to noisy signals of bad behavior and back it up with threats of price wars in response to the easily observed failure to pay the voluntary fines. The model is shown to deliver the insights of modern repeated game theory in an empirically accurate and tractable form.

Customer Knowledge Enabled Innovation: Analyzing Pricing-Promotion Coordination Mechanism

Pricing and promotion are two important decisions during the market launch of new consumer electronics products. Nowadays, the pricing and promotion of consumer electronic products are often not made separately but at the same time. This study focuses on the pricing-promotion coordination mechanism of a secondary supply chain of new consumer electronics products (which consists of a manufacturer and a seller). Price and the degree of promotion together affect the demand for products. Manufacturers give sellers a sales target. Manufacturers and sellers set prices and promotions separately, introduce repurchase penalty joint contracts, and establish supply chain profit models to compare and analyze optimal pricing, promotion efforts, and maximum profit of supply chains under different decision-making situations. We prove that the repurchase penalty joint contract can coordinate the supply chain under the assumptions of a single-period game and a multiperiod repeated game. The results show that under the repurchase penalty joint contract, when manufacturers and sellers choose high prices and high promotions at the same time, the supply chain of new consumer electronics products has the largest profit. Finally, numerical experiments are conducted to study the influence of parameters on optimal decision-making and supply chain profits.