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This chapter explores the phenomenon of managerial overoptimism, focusing on the cognitive underpinnings of the mechanisms that generate this bias. It develops a formal model of probability estimation that is inspired by the biological (cognitive neuroscience) evidence on associative information processing in the brain. The model is able to make novel, testable predictions about managerial overoptimism. It is able to parse out three mechanisms that could lead to overoptimism, as well as predict boundary conditions on when these effects should be observed and when the opposite (a pessimistic bias) should be observed instead. Furthermore, it predicts that under certain conditions, attempts by managers to “debias” their estimates might exacerbate the overoptimistic bias.

Studies of entrepreneurial action often distinguish between different phases such as opportunity identification, evaluation, and exploitation. Yet, the richness of past contributions masks the absence of an integral framework to organize, in a theoretically consistent ensemble, the different kinds of cognitive processes that underpin entrepreneurial action. In this chapter, we draw from research on human action and cognition to offer an integrative model of the cognitive processes that foster entrepreneurial action. By presenting a more specific articulation of when, how, and why different cognitive processes operate, we provide theorists and empiricists with a more complete picture of how entrepreneurs’ thinking evolves from the emergence of an opportunity idea to the initiation of concrete entrepreneurial acts. In addition, our framework draws attention to cognitive inflection points that entrepreneurs must navigate in their journey toward entrepreneurship. By explicitly locating these inflection points and specifying the changes in mental processing that occurs at each point, we highlight that for entrepreneurial action to ensue, entrepreneurs must shift from one type of cognitive processing to another. Along this line, our model draws attention to the entire set of cognitive “skills” entrepreneurs must master for successful completion of each phase and successful transitions between phases.

In this chapter, we explore the legal framework of AGMs in seven Member States (Austria, Belgium, Germany, France, Ireland, the Netherlands, and the United Kingdom) of shareholder decision-making rights. We find that, since only a small part of the decision-making rights is harmonized at the European level, there are numerous differences in shareholder rights among national laws. These decision-making rights are usually about the topics director (re-)elections, pay matters, share capital, amendments to articles of association, annual accounts, etc. To be able to conduct empirical research in the remaining chapters, we develop a categorization framework of 15 voting items.

During the months leading up to and immediately following President Donald Trump’s election, the unique intersection of classroom academic freedom and teacher and students’ first amendment rights would be duly tested, as headlines reminded citizens, parents, and pundits that the reach of raw emotions and political viewpoints did not stop at the schoolhouse door. School and classroom-based events would eventually test the norms of community, the interpretation of legal precedents, the resolve of district and school leadership, and the rights or limits thereof of the teachers themselves. This analysis is grounded on case studies of eight such incidents, all of which occurred at the high school level in public school districts. These eight cases are analyzed in terms of the incidents, the teacher’s actions or speech, the consequences, the relevant legal precedents surrounding academic freedom, the parental, student, and community reaction, and the short- and long-term impacts moving forward.

In 2013, Chinese president Xi Jinping proposed the concept of “One Belt and One Road” economic cooperation. “The Belt and Road Initiative (B&R)” is the short of “The Silk Road Economic Belt” and the “21st-century Maritime Silk Road,” which has got a series of remarkable achievements and worldwide attentions in past five years such as Asian Infrastructure Investment Bank, China–Pakistan Economic Corridor, B&R Forum for International Cooperation, etc. Especially, cross-border EC has greatly strengthened the trade links between countries along the way, which is a rare chance for Chinese Export-oriented Cross-border EC’s rapid growth. Thus, the authors take DHgate.com as a typical example to do a big data analysis. This chapter analyzes vast data from 2013 to 2017 about seven kinds of commodities including Fashion accessories, Jewelry, Sports & Outdoors, Security & Surveillances, Car accessories, Watches, and Hair & Styling by using data mining related software and algorithms. The authors do some monthly sale charts and find a few counter-intuitive but useful conclusions such as by taking association analysis, the study shows that sports products and jewelry products have strong association rules. In addition, for potential products (such as Fashion accessories and Jewelry), although their sales have a certain shock, the overall selling line keep rising. It is possible to put forward some practical suggestions for Chinese Export-oriented Cross-border EC that actively respond to the One Belt One Road Initiative based on these analysis results.

In July 2008 the U.S. Securities and Exchange Commission (SEC) published three proposals relating to the use of credit ratings in its rules and forms. The proposals were designed to address concerns that the misuse of credit ratings may have contributed to the current crisis. The SEC sought market feedback regarding the effect the removal of credit rating references may produce on the markets.

This article examines the use of ratings by various market constituents, analyzes the details of the SEC proposals, and reviews the provided feedback. The main finding is that the majority of the market participants opposed the SEC proposals. Fiduciaries and regulated entities are looking to regulators to offer a common measure of risk, stable, accurate and free of conflict of interests.