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Research on female leadership has documented that female-led firms tend to engage in lower risk-taking activities than male-led firms and attributed it to females' higher propensity for risk aversion. Nevertheless, this claim and its associated findings have been increasingly challenged. In this article, we address the unclear pattern of females' risk preference in leadership by contextualizing the effect of chair gender on corporate acquisitions in the context of state-owned enterprises (SOEs) in China. Drawing on expectancy violation theory, we propose that female chairs are more inclined to take risks when they operate in contexts that encourage female agency. We further explore self-affirmation mechanisms through two moderators: gender stereotype threats and self-efficacy. An analysis of chairs of 1,265 publicly listed SOEs in China from 2008 to 2020 supports predictions that female chairs are more likely than male chairs to engage in firm acquisitions. The effects are amplified under low levels of female executive representation and high levels of political appointments held by female chairs. The study shows that context determines how extensively gender affects risk-taking. It offers new insights into when and why female leaders exhibit higher levels of risk-taking in Chinese SOEs.
Research shows that foreign asset expropriation narrows long-term bond spreads, resulting in lower borrowing costs. However, no empirical studies have investigated the effects of expropriation on sovereign bond ratings. Bondholders and sovereign bond issuers track ratings by credit rating agencies because they impact interest rates and capital costs. Using up to 59 developing countries from 1996 to 2016, we find that expropriation signals lower bond repayment, as asset confiscation blatantly violates international rule of law and discourages foreign direct investment (FDI) inflows, reducing bond ratings. Mediation analysis also indicates that FDI and the rule of law mediate the relationship between expropriation and bond ratings. Further, we distinguish between direct and indirect expropriation and observe that direct expropriation has a greater probability of decreasing ratings. Our research suggests that expropriation holds economic consequences for developing countries, indicating how expropriation negatively affects sovereign bond issuers in the financial and investment community.
Offering rare insights from the Moomin inner circle, this book unveils the Moomin business management journey, from Tove Jansson's creations to a global art-based brand and a growing ecosystem of companies. It unveils the keys to a sustainable business devoted to comforting people and fostering good, inspiring a blueprint for lasting success.
We examine the preopening process and price discovery from the offer price to the first open price in initial public offerings. The extent of price discovery during preopening is influenced by firm characteristics and preopening attributes, such as volume of shares executed in preopening, canceled orders, order imbalance, and changes in indicative price. Institutional investors cancel 4 orders for every executed order. Each phase of preopening contributes to incremental price discovery. In “hot” IPOs, almost all price discovery processes occur during preopening, whereas in “cold” IPOs, half of the price adjustment occurs after the market opens.
This paper documents that 56% of nonprofessional social media investment analysts (SMAs) are skilled and declare beliefs that generate positive abnormal returns (ABRs), while 44% produce negative ABRs. 13% of all SMAs are high-skill type and produce a 1-week 3-factor alpha of 61 bps, while the remaining 87% generate only 6 bps. The distinctive features of high-skill SMAs are primarily firm and industry specializations. Although SMAs tend to extrapolate and herd, their expectations are not systematically wrong. For higher-skilled SMAs compared to the less-skilled ones, extrapolation fades more quickly, and herding is lower, consistent with theory.
The focus of job satisfaction literature remains on the subordinate even though supervisors are responsible for evaluating employee performance, determining employee pay, raises, promotions, growth opportunities, etc., all of which impact employees’ subsequent performance that contributes (or not) to organizational success. Using a psychological contracts lens, we develop and test theoretical arguments predicting supervisors’ response to contributions is not uniformly positive depending on the type and amount of contribution involved. Across two studies, we ask supervisors to evaluate subordinates’ delivered contributions relative to promised contributions. Our results challenge the assumption that supervisors always desire larger amounts of work from their subordinates; excess contributions were associated with lower supervisors’ satisfaction with subordinates for some types of contributions. The results imply that subordinates’ contributions of work to supervisors may influence supervisors’ satisfaction with subordinates perhaps affecting their performance reviews and career opportunities.
We document significant increases in the suspension of ongoing drug projects following the passage of the Food and Drug Administration Amendments Act of 2007 (FDAAA), which mandates that pharmaceutical companies publicly disclose detailed clinical study results. Our results suggest a causal interpretation through difference-in-differences analyses that exploit variations in pre-FDAAA information environments. We also show evidence that fewer new projects are initiated after the FDAAA. Drug developers’ learning from peer failures is the primary mechanism, further amplified by financial constraints. We also examine the consequences of enhanced information disclosure, including changes in firm investment efficiency, drug quality, and disease morbidity.
Out of Poverty provides a comprehensive defence of Third World sweatshops that does not put economic efficiency over people, but instead explores methods of improving the welfare of those in Third World countries. The author explains how sweatshops provide the best opportunity for workers; and how they play an important role in development, leading to better wages and working conditions. Using economic theory, empirical evidence, and historical investigation, Powell argues that the anti-sweatshop movement would harm the very workers it intends to help by creating less-desirable alternatives and undermining development. Including a new chapter on the 2013 Rana Plaza factory collapse in Bangladesh, this revised and expanded second edition also explores how sweatshop wages have changed and how poverty alleviation has progressed in countries with sweatshops in the late 1990s and early 2000s and how boycotting Uyghur forced labor in China differs other sweatshop boycotts.
There is a broad consensus that the ideological space of Western democracies consists of two distinct dimensions: one economic and the other cultural. In this Element, the authors explore how ordinary citizens make sense of these two dimensions. Analyzing novel survey data collected across ten Western democracies, they employ text analysis techniques to investigate responses to open-ended questions. They examine variations in how people interpret these two ideological dimensions along three levels of analysis: across countries, based on demographic features, and along the left-right divide. Their results suggest that there are multiple two-dimensional spaces: that is, different groups ascribe different meanings to what the economic and cultural political divides stand for. They also find that the two dimensions are closely intertwined in people's minds. Their findings make theoretical contributions to the study of electoral politics and political ideology.
The platypus is a remarkable animal. It’s characterized by a combination of features that suggest it could belong to any of a few different animal classes. It lays eggs and has a bill like a bird does. It produces milk and has fur like a mammal does. The male platypus carries venomous spikes on its feet, not common for either birds or mammals. Which animal class best suits the platypus? More generally, how should animals be organized into clusters? How many different clusters should there be? Which combinations of features should be considered? What criteria should be used to determine whether animals are similar or dissimilar? What is the benefit of organizing animals into clusters?
The legend goes that Alexander of Macedonia, before embarking on a campaign of world conquest, first visited the Oracle of Delphi, known for her ability to predict the future. Alexander asked the oracle how the campaign would fare, but she replied that such a prediction could not be made with certainty. Unsatisfied, Alexander pressured her until she predicted, “You are invincible, my son!” Then satisfied, Alexander concluded, “Now I have my answer,” and decided to proceed with the campaign.
When making a business decision, you can theorize about what happened in the past, is happening now, or will happen in the future. You can then decide what to do based on your best estimates, which will consequently lead to a business result. You might assume that when your estimates are based on patterns you detect in some relevant data, then your estimates will be better, and so your decisions will be better, and so the business result will be better. Indeed, this is often the case. Challenges arise, however, when the patterns in the data are difficult to detect.
A company solicits feedback about its products from its customers. Most customers are pleased with the products, but they don’t bother to respond. Few customers are displeased with the products, but of those few, many of them let the company know about it. The information collected is unbalanced, in the sense that there are fewer observations of pleased customers than of displeased customers. The company already knows the proportions of customers that like or don’t like its products, but wants to better understand what distinguishes a pleased customer from a displeased customer.
Modeling relies on the presence of patterns in reference datasets, and some of those patterns might occur in text. For example, customer service operations at an application service provider might need to know if customer comments on social media indicate satisfaction or dissatisfaction with the company’s products. There could be many thousands of comments across many channels, so getting people to read all of them would be slow and costly. Operations would be glad of a predictive model that automatically discerns sentiment expressed in the comments.
Blackjack is a game of chance providing a player with a 42.22% probability of winning a bet. That 42.44% summarizes a vast number of possible outcomes succinctly in just one useful number.