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Kostova, Roth and Dacin called in 2008 for the advancement of a theoretical conception of the multinational corporation (MNC) that takes into account both power relationships among actors and the structure of its internal institutional field. While micro-political scholars of MNCs have started to answer the former part of the call regarding power, the second part has not been thoroughly addressed yet. Furthermore, the agentic aspects typical of power games and the structural aspects characterizing institutional fields have not been fully combined in a multi-level perspective of MNCs so far. Leaning on Bourdieu, we suggest an answer to the pending call. We theorize the MNC as a playing field of power emerging around the issue of finding a meta-rate of conversion of the actors’ capitals constituted in national fields. We conceive such issue field in a dynamic state due to the constant entry and exit of new players (e.g. through mergers, acquisitions or divestitures). This results in the need to continuously test the validity of exchange rates. The role of the metainstitutional field level of the MNC as a global category is also discussed.

The purpose of this research is to examine the effects of congruence between the ideal self-image of a game player and the game character on identification and interaction with the game character, perceived game power and performance, character attachment and willingness to spend money on the game character.

A total of 347 online game players participated in an online survey posted via the nationwide crowdsourcing web service Mechanical Turk in the US. A structural equation modelling was conducted using a maximum-likelihood estimation procedure to test the relationships among the variables.

The results revealed a significant positive impact of congruence between a game character and the ideal self-image of a game player on identification and interaction with the game character, perceived game power, game performance, attachment to the game character and willingness to spend money on the game character.

Although significant research has been conducted in the area of online gaming, limited attention has been given to the strategic game content that stimulates a player's intention to purchase game items. Due to the challenges in sales growth in the game industry caused by business model shifts from a subscription-based model to a free-to-play one, it is important for marketing practitioners to motivate game players to continue playing the game and purchase game items. The results of this study provide valuable strategic insights to overcome the limitations of existing marketing strategies in the online game business.

The purpose of the article is to explore the perceptions of Brazilian game developers about the power relations between them and the sponsors of digital game platforms. It also aims to identify forms of collective action that developers can use to counteract the asymmetry of power.

The research employed an abductive approach, seeking empirical evidence that would challenge consolidated theory. To achieve this, semi-structured interviews were conducted with 25 Brazilian developers. The data were analyzed qualitatively using NVivo software. The aim was to resolve theoretical ambiguities identified in the literature review and to explore unexpected findings.

The study explores Brazilian game developers' perceptions through interviews, revealing their experiences within the industry’s concentrated structure and their use of collective action to navigate power dynamics.

The study's focus on Brazil limits the generalizability of its findings to the broader game development industry.

The study suggests Brazilian game devs can leverage collective action to counteract power imbalance with platforms, collaborate through events and projects and facilitate internationalization of their games.

The study suggests collective action could empower developers to challenge platform dominance and foster a stronger community among Brazilian game developers.

The article’s value lies in examining Brazilian devs' experiences within their specific industry context and highlighting collective action as a potential strategy for developers.

The purpose of this paper, drawing mainly on insights from Foucault and Wittgenstein, is to conceptualise intellectual capital (IC) in very generalist terms as both language game and power in order to initiate a critical understanding of IC.

IC is viewed as knowledge about knowledge, knowledge creation and how such processes might be leveraged into value. It is argued that a critical understanding of IC requires a historical, contextual and linguistic understanding of how IC has emerged and how IC is used. Perceiving IC as language game and power is one way of initiating such critical understanding.

IC is perceived as a social construction and the genealogical focus is on how actors, positions and interests influence this process of social construction.

The paper offers concepts and methods that facilitate historical and contextual research on how IC emerges and how IC is used. Further historical studies are necessary in order to reflect upon and improve extant IC concepts and methods

The paper offers a critical understanding of IC by introducing concepts from the organisational discourse literature. Further it offers practical methodological guidelines for conducting critical genealogical research.

In order to verify the feasibility of different techniques, this chapter further studies the adaptability of two massive straw biomass applications in rural areas in China.

The methods of assessing biomass power generation project with Life Cycle Assessment (LCA), survey and field test of one biogas station, and game-theoretic analysis are adopted.

The following conclusions can be drawn: The air pollution costs account for more than 60% of the total environmental cost, followed by depreciation expense and maintenance fee of 18%, compared to that of biomass power generation at 0.01711 CNY/kWh. The adopted greenhouse sunlight technology of Solar Biogas Plant in Xuzhou, China, raises the inside average temperature by 11.0 °C higher than outside and keeps the pool temperature above 16 °C in winter, ensuring a gas productivity of biogas project in winter up to 0.5–0.7 m³/m³ by volume. This chapter also analyzes the information cost incurred by asymmetric information in biomass power generation via game theory method and illustrates the information structure with game results. It provides not only a foundation for the policy research in promoting straw power generation but also theoretical framework to solve the problem of straw collection.

These studies will propose solutions to relevant problems arisen in the running process.

These studies are all based on real cases, field research, and appropriate theoretical analyses, so, they can reduce the relevant costs and promote the application of relevant technologies.

The purpose of this paper is to examine the impact of renewable energy on the power supply chain and to study whether the renewable generator or the power grid that purchases power from the power spot market is better when the actual generation of renewable energy is insufficient. The authors want to compare and analyze the different power supply chain operation modes and discuss the optimal mode selection for renewable energy generator and power grid in different situations.

This paper studies the grid-led price competition game in the power supply chain, in which the power grid as a leader decides the price of transmission and distribution, and generators determine the power grid price. The renewable energy power generator and the traditional energy power generator conduct a price competition game; on the other hand, the power grid and power generators conduct Stackelberg games. The authors analyze the power supply of single power generator and two power generators, respectively, and research on the situation that the renewable energy cannot be fully recharged when the actual power generation is insufficient.

The study finds that both renewable and traditional power grid prices decline as price sensitivity coefficient of demand and installed capacity of renewable energy generators increase. Power grid premium decreases as the price sensitivity coefficient of demand increases, but rises as the installed capacity of renewable energy generator increases. When there is a shortage of power, if the installed capacity of renewable energy is relatively small and price sensitivity coefficient of demand is relatively large, the grid purchases the power from power spot market and shares cost with renewable energy generators, leading to higher expected profits of the renewable energy generators. On the contrary, the renewable energy generators prefer to make up power shortage themselves. For the power grid, purchasing the power by the renewable energy generators when there is a power shortage can bring more utility to the power grid when the installed capacity of renewable energy is lower and the demand price sensitivity coefficient is higher. When the installed capacity of renewable energy is high and the price sensitivity coefficient of demand is moderate, or the installed capacity of renewable energy is moderate and the demand price sensitivity coefficient is high, a generator that simultaneously possesses two kinds of energy source will bring more utility to the power grid. If the installed capacity of renewable energy and the demand price sensitivity coefficient both are small or the installed capacity of renewable energy and the price sensitivity coefficient of demand both are large, the power grid prefers to purchase the power by itself when there is a power shortage.

The goal of our paper analysis is to explore the implications of the theoretical model and address the series of research questions regarding the impact of the renewable energy on the power supply chain. The results of this study have key implications for reality. This paper sheds light on the power supply chain operation mode selection, which can potentially be used for the renewable energy generators to choose their operating mode and can also help traditional energy generators and power grid enterprises maximize their utility. This paper also has some references for the government to formulate the corresponding renewable energy development policy.

This paper studies the power operation mode under the uncertainty of supply and demand, and compares the advantages and disadvantages of renewable energy generator that makes up the shortage or the power grid purchases the power from power spot market then shares cost with the renewable energy generator. This paper analyzes the power grid-led coordination problem in a power supply chain, compares and analyzes the price competition game model of single power generator and dual power generators, and compares the different risk preferences of power grid.

Green energy as a transportation supply trend is irreversible. In this paper, a highway energy supply system (HESS) evolution model is proposed to provide highway transportation vehicles and service facilities with a clean electricity supply and form a new model of a source-grid-load-storage-charge synergistic highway-PV-WT integrated system (HPWIS). This paper aims to improve the flexibility index of highways and increase CO₂ emission reduction of highways.

To maximize the integration potential, a new energy-generation, storage and information-integration station is established with a dynamic master–slave game model. The flexibility index is defined to evaluate the system ability to manage random fluctuations in power generation and load levels. Moreover, CO₂ emission reduction is also quantified. Finally, the Lianhuo Expressway is taken as an example to calculate emission reduction and flexibility.

The results show that through the application of the scheduling strategy to the HPWIS, the flexibility index of the Lianhuo Expressway increased by 29.17%, promoting a corresponding decrease in CO₂ emissions.

This paper proposed a new model to capture the evolution of the HESS, which provides highway transportation vehicles and service facilities with a clean electricity supply and achieves energy transfer aided by an energy storage system, thus forming a new model of a transportation energy system with source-grid-load-storage-charge synergy. An evaluation method is proposed to improve the air quality index through the coordination of new energy generation and environmental conditions, and dynamic configuration and dispatch are achieved with the master–slave game model.