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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Servant Leadership, Culture and a Quantitative Study| Introducing a Multiple-leader Model

Parcher, Kim S. 04 November 2015 (has links)
<p> The following study discusses servant leadership in relation to the larger topic of global leadership. It derives composite definitions for each from the literature and offers a philosophical foundation for servant leadership in order to prepare for a discussion of the problem of lack of construct consensus in current servant leadership empirical research. An exhaustive literature review supplied a quantitative, cross-cultural study with established measures of reliability and validity. The current research replicated this study as it provided an instrument with a small number of constructs offering simplification for servant leadership construct consensus. Two changes were made, however, in methodology. First, respondents were tested from a newly introduced, multiple-leader model of leadership rather than the single-leader model in the original study. Secondly, culture was assigned to control variable status and a numerical value recorded for both countries. The data was then analyzed using measures consistent with the original study in order to compare results between the original single-leader and the new multiple-leader models as well as multiple-regression to see if culture can be predicted through a combined database of all respondents from both countries. The multiple-leader model provided more consistent construct evaluation across the specific high and low power-distance countries studied with generally equivalent or reduced standard deviations than the single-leader model. Culture cannot be predicted from the constructs as recorded. Structural equation modeling (SEM) was used to verify a lack of correlation between constructs in contrast to standard statistical program outputs.</p>

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