Whereas the importance of CEO reputation has increased over the last years only very little
scientific research has been conducted. This thesis addresses the vagueness of past
conceptualizations by providing a well-founded theoretical background the development of a
reliable and valid measurement model of CEO reputation as well as the validation of identified
relations to its antecedents and consequences. An empirical online study was conducted among
students of the university in Munich to validate the CEO reputation model. Using PLS path
modeling the analysis provides evidence for the impact of CEO reputation on several outcome
variables (e.g. corporate reputation) and confirms different influences of the identified
antecedents on CEO reputation. Thereby practitioners can get valuable implications for the
management of chief executives' reputations.
