Most theories of elections assume that voters and political actors are fully rational. While these formulations produce many insights, they also generate anomalies--most famously, about turnout. The rise of behavioral economics has posed new challenges to the premise of rationality. This groundbreaking book provides a behavioral theory of elections based on the notion that all actors--politicians as well as voters--are only boundedly rational. The theory posits learning via trial and error: actions that surpass an actor's aspiration level are more likely to be used in the future, while those that fall short are less likely to be tried later.

Based on this idea of adaptation, the authors construct formal models of party competition, turnout, and voters' choices of candidates. These models predict substantial turnout levels, voters sorting into parties, and winning parties adopting centrist platforms. In multiparty elections, voters are able to coordinate vote choices on majority-preferred candidates, while all candidates garner significant vote shares. Overall, the behavioral theory and its models produce macroimplications consistent with the data on elections, and they use plausible microassumptions about the cognitive capacities of politicians and voters. A computational model accompanies the book and can be used as a tool for further research.

A scientific approach to corporate reputation from the field’s leading scholar. Public opinion is a core factor of any organization’s success—and sometimes its failings. Whether through crisis, mismanagement, or sudden shifts in public sensibility, an organization can run afoul in the span of a Tweet. In Reputation Analytics, Daniel Diermeier offers the first rigorous analytical framework for understanding and managing corporate reputation and public perception. Drawing on his expertise as a political scientist and management scholar, Diermeier incorporates lessons from game theory, psychology, and text analytics to create a methodology that has immediate application in both scholarship and practice. A milestone work from one of social science’s most eminent scholars, Reputation Analytics unveils an advanced understanding of an elusive topic, resulting in an essential guide for academics and readers across industries.

In recent times the academic world has focused increasing attention on the challenges of corporate sustainability. While the concept of corporate sustainability originated in the context of environmental impact and natural resources, in recent years the concept has been broadened to include various social concerns ranging from animal welfare, human rights and labor conditions, to issues of inequality and social justice. There is now a large literature that provides many insights into the factors driving firms to become more sustainable, the key steps they take to do so, and the impacts of these actions. This interdisciplinary 4-volume major work brings together the most significant papers from the body of literature on corporate sustainability, drawing from a wide range of research journals. The introductory chapter written by the major work's editors explores the highlights of the literature therein and identifies directions for future research. Volume 1: Concepts Volume 2: Drivers Volume 3: Strategy Volume 4: Consequences