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A little-known “lottery fever” has spread to many parts of rural China over the past 10 years. This is driven by participation in underground lotteries with local bookies. It is called liuhecai, which is the name of the Hong Kong lottery, and is based on guessing the bonus number of the Hong Kong Mark Six lottery. Such lotteries are illegal, but are an open secret. This chapter seeks to understand the meaning of this apparently irrational lottery fever: why people participate in it, why they believe the conspiracy theory that it is rigged (and yet still participate), and why similar lotteries have emerged in both capitalist Taiwan and post-socialist China at this particular time.

This chapter examines how and why Asian bookmakers have surpassed the rest of the sports gambling market in betting volume. It critically unpacks the size, structure and operations of this market, before examining the globalisation of match-fixing that accompanies this, largely, unregulated market. While there has been some excellent research on the structure of the Black/Red Mafia controlled gambling in Communist China or match-fixing in national markets like South Korea and Taiwan, this chapter is one of the first comprehensive examinations of the globalised Asian gambling market and its contribution to sports corruption.

Purpose — The purpose of this chapter is to study the pattern of rogue trading, paying special attention to the aspects of the dishonest behavior of perpetrators.Design/methodology/approach — The chapter discusses selected cases of rogue trading that received the largest coverage by the mass media.Findings — No unique pattern of rogue trading schemes can be identified; however, certain similarities can be brought up based on the discussed cases. There are many aspects of dishonesty involved in fraudulent trading besides illicitness of unauthorized trading as such.Research limitations/implications — The chapter is based largely on a literature review and available data on the instances of rogue trading; probably, there is a vast amount of rogue trading cases undisclosed in order to draw a bigger picture.Originality/value — We apply the framework of white-collar crime process by McKay, Stevens, and Fratzl (2010) in order to clarify whether rogue trading schemes match the development of a typical white-collar crime. Conclusions are built on the analysis of several cases.

The global recession has strongly affected the credibility of the international banking system, damaging also the real economy.

Developing countries, not fully integrated with international markets, seem less affected and local microfinance institutions might also allow for a further shelter against recession, even if foreign support is slowing down and collection of international capital is harder and more expensive.

Intrinsic characteristics of microfinance, such as closeness to the borrowers, limited risk and exposure and little if any correlation with international markets have an anti-cyclical effect. In hard and confused times, it pays to be little, flexible and simple.

Introduction: Enterprise risk management (ERM) is a process that identifies how firms manage risks. In recent years, a growing number of companies in emerging economies have begun to implement a holistic framework for risk management for sustainable development.

Aim: The aim of this chapter is to assess the sustainability risk management based approach to economic, social and governance performance. Analysis will be performed on a sample of Romanian listed companies to assessment the significant risks identified by them. Current study undertakes these important issues and configures ambitious theoretical and empirical research to strengthen the knowledge in this scientific field.

Method: The data used for the companies in the sample included companies listed on the Bucharest Stock Exchange in Romania and was taken from the annual reports published by these companies available for the years 2018 and 2019. The sustainability activities were analyzed and an index was calculated for all activities identified in order to assess the risk management.

Findings: Especially the aggregation of risk and the quality of derivation of risk exposure is highly questionable. The number and proportion of risks reported have also changed, although some risks have always been reported frequently. Our results provide support for the recent pressure generated by the COVID-19 pandemics, on firms to adopt more integrated and comprehensive risk management systems.

Analyzing how the post-Soviet transition interacts with the crisis of market finance exhibits a new “greed-based economic system” in the making. Asset grabbing is at its core and hinders capital accumulation. All the various privatization schemes have triggered off asset grabbing, asset stripping, and asset tunneling. A global contagion of such behavior has spread the power and cohesion of managers/shareholders (oligarchs) worldwide. Financial asset grabbing is less straightforward, though much widespread, and operates in financial markets through new financial products, securitization, firms buying their own shares, hedge funds, stock price manipulation, short selling, and the distribution of stock options.Shadow banking, and more generally a global informal economy, results from grabbing strategies in financial markets that breach the formal rules of capitalism. In alleviating and circumventing the rules, the oligarchy paves the way for economic malpractices and crime, calling capitalist laws into question.In such context, systemic greed underlies unconstrained maximization of relative wealth, for which asset grabbing is a rational means, in a winner-take-all economy. At the present stage of our research, a greed-based economy cannot yet be theoretically defined as a transition either to a new phase of capitalism or to another different system.

This chapter examines the shifting significance of data ownership and athlete rights as they pertain to the growth and expansion of the global sports gambling industry. It provides a nuanced overview of the ‘datafication’ of society, tracing how the omnipresent embrace of digital technologies has expediated new forms of organisational, political and corporate surveillance from which concerns over privacy, rights to ownership and the misuse of personal data arise. The chapter moves on to discuss how the extraction and trade of data has revolutionised how elite sport is performed, manufactured, broadcast and consumed, shedding critical light on the role of the gambling industry in the exchange of human data as a market commodity. These insights inform a series of socio-legal and ethical questions about the relationships between athlete data and the sports gambling industry for the purpose of signposting emerging issues and opportunities for critical sociological research and intervention.