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Measurement and Management of Chief Executive Reputation

by Richard Rinkenburger (Author)
©2012 Thesis XIX, 206 Pages

Summary

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.

Details

Pages
XIX, 206
Publication Year
2012
ISBN (PDF)
9783653015539
ISBN (Softcover)
9783631621899
DOI
10.3726/978-3-653-01553-9
Language
English
Publication date
2012 (July)
Keywords
structural equation modeling CEO reputation Leader reputation variance-based SEM
Published
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2012. XX, 206 pp., 36 tables, 30 graphs
Product Safety
Peter Lang Group AG

Biographical notes

Richard Rinkenburger (Author)

Richard Rinkenburger studied business administration at the LMU Munich and the Copenhagen Business School. He wrote his dissertation during his time as a research and teaching assistant at the Institute for Market-based Management at the LMU Munich. At the same time, he worked as a freelance management consultant.

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Title: Measurement and Management of Chief Executive Reputation