Daniel Diermeier – författare

Leverage your company’s most important asset!

In our lightning-fast digital age, a company can face humiliation and possibly even ruin within seconds of a negative tweet or blog post. Over the last year companies such as BP, Goldman Sachs, and Toyota have experienced serious blows to their images that could have had reduced impact if their leaders had implemented reputation management into their business strategy and culture.

There is no one in either the corporate or academic sphere with greater expertise in the area of corporate reputation than Dr. Daniel Diermeier. An award-winning professor at the Kellogg School of Management, Northwestern University, Dr. Diermeier has blazed a path in understanding the significance of reputation management and demonstrating how a company can create a program so powerful that it can help turn a potential public disgrace into a public image success story.

Reputation Rules is a landmark work bringing to light Dr. Diermeier’s groundbreaking insights in this critical area. He offers the frameworks, strategies, and processes for changing your company’s focus as quickly as the world is changing around you. He touches on all of the reputational issues that need to be managed from a strategic level, describing how to:

In addition, Dr. Diermeier provides case studies of Shell’s confrontation with Greenpeace, Mercedes’s recovery from the Moose crisis, AIG’s executive bonus fallout, Wal-Mart’s reputation-building response to Hurricane Katrina, and numerous other scenarios illustrating what works and what doesn’t when it comes to reputation management.

Brimming with keen insights and lucid examples, Reputation Rules is a guidepost for your organization’s future—and a salve for crisis management.

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.

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.