53,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 2-4 Wochen
payback
27 °P sammeln
  • Gebundenes Buch

"An analytical approach to corporate reputations from its leading scholar. Public perception, especially in the time of social media, is a core determinant of any organization's success and longevity. It is also fickle: organizations can fall astray of public approval through crisis, mismanagement, or sudden shifts in the public sensibility. In Reputation Analytics, Daniel Diermeier offers the first scientific framework for understanding and managing the vagaries of corporate reputation and public opinion. Drawing on a political scientist's understanding of the formation and dynamics of public…mehr

Produktbeschreibung
"An analytical approach to corporate reputations from its leading scholar. Public perception, especially in the time of social media, is a core determinant of any organization's success and longevity. It is also fickle: organizations can fall astray of public approval through crisis, mismanagement, or sudden shifts in the public sensibility. In Reputation Analytics, Daniel Diermeier offers the first scientific framework for understanding and managing the vagaries of corporate reputation and public opinion. Drawing on a political scientist's understanding of the formation and dynamics of public opinion, Diermeier infuses his approach with lessons from game theory, psychology, and text analytics to produce a rigorous, altogether original approach that will have immediate application in both scholarship and practice. A milestone work from one of social science's most eminent scholars, Reputation Analytics ushers a new and advanced understanding on a topic that has long eluded such treatment-and an essential work for readers across industry and academics"--
Autorenporträt
Daniel Diermeier is chancellor of Vanderbilt University and formerly the provost of the University of Chicago. He is the author five books, most recently of Reputation Analytics, also published by the University of Chicago Press.