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The chapter aims to investigate the impact of the COVID-19 pandemic and crisis on the implementation of the game market strategy of clustering business structures. The chapter contributes to the literature by clarifying the concept of economic clustering from the perspectives of game theory and stakeholder theory in the COVID-19 pandemic and crisis. The scientific novelty and originality of the research results are that they revealed differences in the effectiveness of the game strategy of clustering business structures, first, between developed and developing countries and, second, between conditions of stability and conditions of crisis. The theoretical significance of the results and conclusions is that they opened a new perspective on the clustering of business structures – from the perspective of game theory (as a game strategy in its alternativity with the strategy of individual business presence in the market) and from the perspective of stakeholder theory (as a market strategy, the effectiveness of which is evaluated for all stakeholders). The practical significance of the research lies in the fact that it allows rationalising the decision-making on the implementation of the game strategy of clustering business structures in the context of the COVID-19 pandemic and crisis, considering the peculiarities of developed and developing countries. The authors provide their recommendations for each category of country.

In this chapter, we explore the lived experiences of transgender and gender non-conforming (TGNC) prisoners, arguably the most vulnerable minority in the prison estate, using the data from our correspondence study with transgender women and non-binary individuals incarcerated in male establishments in England and Wales. We provide a brief review of the extant literature, describe the English prison system and the regulations concerning transgender prisoners, and analyze two axes of vulnerability of TGNC prisoners: social (stemming from relationships between prisoners) and institutional (resulting from the prison regime). Along the social axes, we find, in contrast with prior research, that our respondents defied the stereotypes of trans prisoners as submissive to males in a hypermasculine prison society and as involved primarily in abusive relationships. Along the institutional axes, we find that, despite the progressive by international standards transgender prison regulations, prisoners were subject to vicissitudes in treatment that negatively affected their ability to express their gender and their health. Focusing on access to gender-affirming items (clothing, prosthetics, make-up) and gender-affirming medical treatment, we develop recommendations for the prison service that could improve the conditions of confinement for TGNC prisoners.

In this work, we study the investment processes in the digital economy, which includes determining the specifics of foreign direct investments (FDIs) under the conditions of digital technologies' development and substantiating the key directions and tendencies of investing from the positions of strategies of business integration and digital technologies' development.

This research is based on the multidisciplinary approach, which covers strategic management, investing, the theory of digital economy etc. The chapter combines the theoretical developments of these disciplines and presents them in the context of substantiation of the processes of using foreign direct investments as the tools of the business integration strategy. The proposed methodology allows generalising the view of the studied processes from the position of the digital economy, determining its structure; describing the key directions of development and investing; establishing the specifics of the use of FDI by transnational corporations; substantiating important directions for further processes.

It is revealed that foreign direct investments are not only the important factors in economic systems' development but also the effective tools for the integration of international business through the common use of the potential of parent and subsidiary companies for the reduction of transaction costs, an increase of profit etc. It is substantiated that the character of direct investing in the digital economy is different from the similar processes in the industrial system due to the non-material character of assets and their connection to the Internet. Based on this, implementing the investment strategy in the digital economy, transnational corporations offer access to technologies, ensure technological modernisation and facilitate the achievement of other indirect effects, which are less aimed at the increase in material assets. These processes lead to a change in the balance of revenues compared to the cost of material assets that are invested in the receiving market or subsidiary company. The indicator of such a ratio is the indicator ‘FDI lightness’. A high value of this indicator is a sign of the large perspectives of a company in the sphere of international activities.

The specifics of FDI in the digital economy are determined, the key directions of such activities are described, and the peculiarities and differences of investing in the digital economy are shown.

This paper investigates the impact of refusal to deal by a monopoly supplier of an essential input on firms’ investments in product quality, consumer surplus, and net social welfare.

The paper uses a standard economic model of endogenous quality choice for horizontally differentiated products to compare market performance with and without refusal do deal.

Refusal to deal increases the payoff of the integrated firm and reduces equilibrium investment in quality, consumer surplus, and net social welfare if varieties are moderate or good substitutes. If varieties are poor substitutes, the integrated firm maximizes its payoff setting a wholesale price that allows the downstream rival a small economic profit.

The analysis presented here implies that it is actual rivalry in the development of high-quality substitute varieties that promotes consumer welfare, and that such rivalry is ill served by the exercise of market power in input markets and by the refusal of vertically integrated upstream firms to deal with their nonintegrated downstream rivals. Reliance on the lure of monopoly profit to get good market performance is misplaced.

A substantial part of airports’ revenues relates to charges covering the costs of services supplied by the airport. Charges are imposed on carriers, which in turn pass them or a percentage of them, on to passengers. In the present chapter, special attention is given to regional airports characterized by low traffic volumes, enabling only one or a few carriers to serve each destination. A classic economic model is presented to analyze how the pass-on rate depends on supply and demand characteristics and market structure. Some illustrative examples assuming combinations of common specifications for market characteristics are also presented, showing pass-on rates ranging from 50% to more than 100%. Consequently, market structure and characteristics of carriers and passengers are decisive for how passengers experience changes in airport charges. The differences between the optimal charge from the perspectives of the airport and the welfare of society are specifically addressed. It is demonstrated that knowledge of the pass-on rate in the monopoly cases may be sufficient to infer how the mark-up will be affected by a change in marginal costs. Consequently, the understanding of the pass-on rate is relevant for airport owners and for decision-makers when considering the welfare of passengers and other politically stated goals.

Many jurisdictions fine illegal cartels using penalty guidelines that presume an arbitrary 10% overcharge. This article surveys more than 700 published economic studies and judicial decisions that contain 2,041 quantitative estimates of overcharges of hard-core cartels. The primary findings are: (1) the median average long-run overcharge for all types of cartels over all time periods is 23.0%; (2) the mean average is at least 49%; (3) overcharges reached their zenith in 1891–1945 and have trended downward ever since; (4) 6% of the cartel episodes are zero; (5) median overcharges of international-membership cartels are 38% higher than those of domestic cartels; (6) convicted cartels are on average 19% more effective at raising prices as unpunished cartels; (7) bid-rigging conduct displays 25% lower markups than price-fixing cartels; (8) contemporary cartels targeted by class actions have higher overcharges; and (9) when cartels operate at peak effectiveness, price changes are 60–80% higher than the whole episode. Historical penalty guidelines aimed at optimally deterring cartels are likely to be too low.

During the past several decades, the decision-making process and the decision-makers’ role in it have changed dramatically. Because of this, the use of analytical tools, such as Excel, have become an essential component of most organizations. The analytical tools in Excel can provide today’s decision-maker with a competitive advantage. We will illustrate several powerful Excel tools that facilitate the decision support process.

In this study, the performance of ordinal GA-based trading strategies is evaluated under six classes of time series model, namely, the linear ARMA model, the bilinear model, the ARCH model, the GARCH model, the threshold model and the chaotic model. The performance criteria employed are the winning probability, accumulated returns, Sharpe ratio and luck coefficient. Asymptotic test statistics for these criteria are derived. The hypothesis as to the superiority of GA over a benchmark, say, buy-and-hold, can then be tested using Monte Carlo simulation. From this rigorously-established evaluation process, we find that simple genetic algorithms can work very well in linear stochastic environments, and that they also work very well in nonlinear deterministic (chaotic) environments. However, they may perform much worse in pure nonlinear stochastic cases. These results shed light on the superior performance of GA when it is applied to the two tick-by-tick time series of foreign exchange rates: EUR/USD and USD/JPY.