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This paper aims to propose the mechanism of cross-network effect embedded, which can help cross-border e-commerce (CBEC) platforms strengthen cooperative relationships with sellers more equitably and effectively by using the network structural characteristics of the platforms themselves.

A two-stage evolutionary game model has been used to confirm the influence factors. The mathematical derivation of evolutionary game analysis is combined with the simulation method to examine the role of cross-network effect in cooperation. The evolutionary game model based on the cross-network effect is proposed to achieve better adaptability to the study of cooperation strategy from the two-sided market perspective.

The evolutionary game model captures the interactions of cross-network effect and the influence factors from a dynamic perspective. The cross-network effect has a certain substitution on the revenue-sharing rate of SMEs. CBEC platforms can enhance the connection between consumers and the website by improving the level of construction, which is a good way to attract sellers more cost-effectively and efficiently.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specificCBEC platforms.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specific CBEC platforms.

Investigations that study cooperation strategy from the cross-network effect perspective in CBEC are limited. The research figured out which influence factors are affected by the cross-network effect in cooperation. A two-stage evolutionary game model was proposed to explain the interaction of the factors. The evolutionary game analysis with a simulation method was combined to highlight the role of cross-network effect on cooperation strategy to give a deeper investigation into the sustainable cooperation ofCBEC.

This conceptual paper examines the need for viable theoretical models of international learning alliances in the light of cooperative games and complexity in two distinguished educational settings. Game theory is used to demonstrate the need for the top managerial executives to acquire a detailed understanding of decision makers' behaviours and trigger the deployment of complex analytical methods. The paper scrutinizes Russia's pursued aggressive approach using shock therapy, also suggest the critical need to reform policy.

Combining the critical analysis of (1) cooperative games and (2) adaptive systems structures, a dependable model is derived, which sets the baseline for determining the role of costs and gains. The analysis is supported using a real-world example of an alliance between British University (the X and Y alliance) and Russian University. It also emphasizes the importance of both internal and external pressure variables closely connected with the cooperative games, adaptive system and shock therapy.

Two features of alliances have been emphasized. The first is the importance of informal relationships in the evolution of partnerships and of cooperation. This is a well-known factor in the success of any relationship. Especially in international partnerships, empathy at the individual level is perhaps necessary to bypass the influence of historical and cultural differences that are barriers at the macro level, preconditions rather than consequences of successful policies and contractual arrangements at the level of organizations and governments. The second feature is interdependence at the cost–benefit level and in the domain of decisions. The cooperation of both partners is required to realize payoffs.

The implication of this paper is a guideline for regulators and policymakers designing worldwide alliances in higher education. In addition, this paper covers an interesting domain that could be of interest to organizations involved in forming strategic alliances, developing and re-engineering policies for strategic coalitions and setting future profitable payoff relationships within the contextual limitations of X and Y.

This paper creates new knowledge by concisely examining the meaning of strategic alliances in the context of the global education industry.

This empirical research examined the factors and conditions that contribute to the success of international strategic learning alliances. The study aimed to provide organisations with evidence-based insights and recommendations that can help them to create more effective and sustainable partnerships and to leverage collaborative learning to drive innovation and growth. The examination is performed using game theory as a mathematical framework to analyse the interaction of the decision-makers, where one alliance's decision is contingent on the decision made by others in the partnership. There are 20 possible games out of 120 outcomes that can be grouped into four different types; each type has been divided into several categories.

The research methodology included secondary and primary data collection using empirical data, the Delphi technique for obtaining qualitative data, a research questionnaire for collecting quantitative data and computer simulation (1,000 cases, network resources and cooperative game theory). The key variables collected and measured when analysing a strategic alliance were identified, grouped and mapped into the developed model.

Most respondents ranked reputation and mutual benefits in Type 1 games relatively high, averaging 4.1 and 3.85 of a possible 5. That is significantly higher than net transfer benefits, ranked at 0.61. The a priori model demonstrate that Type 1 games are the most used in cooperative games and in-game distribution, 40% of all four types of games. This is also confirmed by the random landscape model, approximately 50%. The results of the empirical data in a combination of payoff characteristics for Type 1 games show that joint and reputation benefits are critical for the success of cooperation.

Research on cross-border learning alliances has several implications. Managerial implications can help managers to understand the challenges and benefits of engaging in these activities. They can use this knowledge to develop strategies to improve the effectiveness of their cross-border learning alliances. Practical implications, the development of game theory and cross-border models can be applied in effective decision-making in a variety of complex contexts. Learning alliances have important policy implications, particularly in trade, investment and innovation. Policymakers must consider the potential benefits and risks of these collaborations and develop policies that encourage and support them while mitigating potential negative impacts.

International learning alliances have become a popular strategy for firms seeking to gain access to new knowledge, capabilities and markets in foreign countries. The originality of this research lies in its ability to contribute to the understanding of the dynamics and outcomes of these complex relationships in a novel and meaningful way.

The purpose of this paper is to investigate how subtle religious representations affect prosocial behavior. The authors study the impact of religious representations on prosocial behavior in terms of cooperation in a one‐shot/three‐person public goods game.

The authors used the scrambled sentence task to prime participants with religious words before they were asked to make a one‐shot/three‐person public goods game decision.

Both in the raw data and when controlling for factors such as age, gender and religious beliefs, the authors found that priming of religious representations increased cooperation in the experiment, that is, increased contributions to the public good. The authors found no significant interaction effects between priming and self‐reported measures of religiosity, suggesting that the priming effect was present among both self‐reported religious and nonreligious participants. Self‐reported measures of religiosity were not correlated with cooperation in this study.

The paper adds to the growing body of experimental economics literature that has studied self‐reported measures of religiosity alongside behavior in different economic games. This study contributes to the literature by examining the effect of subtle influences of religion on cooperation. Also, in contrast to previous economic literature, the paper examines the direct impact of religion as an independent variable on cooperation.

This paper constructs a tripartite evolutionary game model between the government, the core enterprises of film copyright export and imports and uses the system dynamics model to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, aiming to promote the development of foreign trade of film copyright and innovation and development of the film industry so as to improve the overall social benefits of the film industry and provide policy enlightenment for enhancing the import power of foreign core enterprises to introduce domestic film copyrights.

In this paper, a tripartite evolutionary game model of the government, the core enterprises of film copyright export and imports is constructed, the evolution process of cooperation strategy is derived, the impact of innovation income coefficient, mixed incentive policy and single incentive policy on the evolution results is analyzed, and the system dynamic model is used to simulate to find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.

The results show that export-oriented core firms are more sensitive to mixed incentives, while import-oriented core firms respond more quickly to single incentives. The large innovation income coefficient has a negative impact on the willingness of import-oriented core enterprises to cooperate. The study proposes measures to increase the willingness of core companies to participate.

Due to the fact that numerical simulation is based on simulation, there may be a certain gap between it and the actual situation. Therefore, it is necessary to further use actual data to conduct empirical analysis on the theoretical model.

This article mainly focuses on analyzing the impact of strategy choices and related parameters of various entities on the incentive mechanism and studying the foreign trade cooperation strategies of film copyright export enterprises under policy support from a theoretical model perspective. Furthermore, research has proven that in order to effectively enhance the willingness of foreign import core enterprises to participate in the foreign trade of domestic film copyrights, the government needs to coordinate the use of single incentive policies and mixed incentive policies. This study provides a major contribution for policymaker to develop film copyright import and export trade.

Based on the research conclusions, this paper puts forward management countermeasures to further improve the development of the film copyright import and export trade. The first is to enrich government incentive methods and stimulate the vitality of film copyright and foreign trade market entities. The second is to guide the core enterprises of film copyright export to increase investment in innovation and stimulate the endogenous driving force of industrial development. Finally, lengthen the foreign trade industry chain of film copyright and increase the income of film derivatives.

Firstly, this paper applies the research methods of evolutionary game and system dynamics simulation to the field of foreign trade research on film copyright and expands the research perspectives and methods of the film industry. Secondly, by analyzing the “cost-benefit incentive” relationship of the evolutionary game of government export-oriented core enterprises and importing core enterprises, an evolutionary game model is constructed, the quantitative point of tripartite interest decision-making is solved and the research object of the evolutionary game method is expanded. Finally, the system dynamics model is used to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.

We investigated the effect of religion on generosity, interpersonal trust, and cooperation by using games developed by experimental economists (Dictator, Trust, and Public Goods). In these experiments, individuals were paired or grouped with unknown strangers to test the degree to which religion promotes prosocial behavior. We evaluated group- and individual-level effects of religion on prosocial behavior across the three games. Although playing the games in a religious setting showed no overall difference as compared to a secular setting, we did find a weak association between some individual-level dimensions of religiosity and behavior in some of the games. The weak association between religion and behavior is consistent with theory and empirical studies using similar measures – the anonymous pairing and grouping of the economic games may moderate individual-level effects of religion. Our research is a strong complement to the empirical literature because the three studies involved a large and diverse sample and used sensitive instruments that have been found to reliably measure prosocial behavior.

In the process of group decision-making, there may be multilayer subjects. In other words, members of the decision-making group may come from different layers and there is interest game among decision experts. Therefore, it is an extremely important topic to aggregate the information of decision experts who are involved in hierarchical relations and gaming relations so as to effectively address game conflicts and reach game cooperation.

First, a programming model is established to minimize the difference of expert opinions in hierarchical decision-making, and the method to solve the optimal solution is given. Second, the cooperative game model and its properties are discussed by using cooperative game and Shapley value, and the method to determine the weight vector between layers is also proposed.

This model can quickly aggregate information and achieve game equilibrium among decision-makers with hierarchical relationships. It can be widely used in decision evaluation with hierarchy structure and has certain practical value.

In order to solve the problem that experts at different levels may have conflicts of interest in multilayer grey situation group decision-making process, cooperative game and Shapley value theory are introduced into the study, and a multilayer grey situation group decision-making model based on cooperative game is constructed. The validity and practicability of the model are illustrated by an example.

The purpose of this study is to help governments make carbon-tax policy and help enterprises make decisions under that policy.

Based on the carbon-tax policy, with the consideration of consumers’ low-carbon preferences, this paper compares the pricing, emission reduction and advertising decisions in three different games (one centralized game and two decentralized Stackelberg games).

This paper concludes that, through centralized game, namely, cooperation game, manufacturers, retailers and consumers can reach their optimal situation. In the numerical simulation, this paper analyzes the impact of carbon-tax rate to the decisions of manufacturer and retailer, as well as their profit.

Using the Nash Bargaining Model, the introduction of the bargaining power and the degree of risk aversion of the parties, this study provides some solution for the distribution of the additional profit when they cooperate, in which way they can reach their Pareto optimality.

The development of China's solar photovoltaic (PV) industry is in a transition period from pursuing scale and speed to focusing on efficiency and quality. “Smart PV projects” (SPVPs) were proposed by the ministries of the Chinese government in 2018 to encourage intelligent upgrading and to fill the gaps in traditional PV projects. However, only a small number of PV enterprises are in progress, and only a few SPVPs have been built. The intelligence level of China's PV projects needs to be improved. The purpose of this study is to analyze the willingness of the main participants to be involved in the intelligent upgrading of PV projects by establishing an evolutionary game model that includes three parties.

A tripartite evolutionary game model is constructed that considers PV enterprises, project owners and the government. The evolutionary stability strategies of each party and the corresponding stable conditions are obtained. The parameters that affect the decision behaviors are also analyzed.

The four stages of the intelligent upgrade of PV projects and the effects of the government subsidy strategies are examined. At different stages, adopting different measures to promote cooperation among the three parties involved is necessary. Government subsidies should be provided to PV enterprises during the initial stage and should be biased toward project owners during the intermediate stage. During the peak stage, PV enterprises constantly need to decrease project costs and improve quality and service, thus helping project owners reduce their initial investments and obtain additional gains. The government's reputation drives it to continually adopt incentive strategies.

This research focuses on the interactions among the three parties. Based on evolutionary game analysis, several conditions that facilitate the intelligent upgrading of PV projects are illustrated. Implications for different developing stages are proposed from the perspectives of each party for the decision-makers of SPVPs.

The purpose of this paper is to analyze how the application of gamification promotes employee motivation and engagement in the workplace. This study sought to identify gamification characteristics, examine motivation and engage at work to relate them to different game designs.

A qualitative exploratory study of multiple cases involving four companies located in Brazil’s southern region. These companies use gamification with their employees or companies whose business offers gamification solutions focused on people management.

This multiple case study presented aspects and different approaches to gamification and serious games. Of the four case studies, the Bravi Quiz application was the most satisfactory case because of its attractive design.

The research instruments prioritized the topic of gamification with its tools and applicability. The themes of motivation and engagement at work have been addressed but need further research.

The planning and application of gamification with the appropriate score, feedback and rewards are necessary to promote motivation and engagement in the workplace. Gamification must be linked to its systems and processes on its excellent progress because it is taken in isolation; it does not increase engagement and motivation.

This is one of the few studies dealing with gamification in human resource management by involving developers/instructors, managers and employees/users and different companies’ tools. This study served as a comparison between the tools of gamification and serious games.