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Incorporating implicit leadership theories into the transformational and transactional leadership frameworkNorris, Dwayne G. 06 June 2008 (has links)
The role of implicit leadership theories within the framework of transformational and transactional leadership theory were examined. Two major issues were how implicit leadership theories (i.e., good, neutral, poor leader prototype) relate to specific leader behaviors (attributed charisma, idealized influence, individualized consideration, inspirational leadership, contingent reward, management-by-exception active/passive, laissez-faire leadership), and the combined influence of leader prototypes and behaviors on general job satisfaction, satisfaction with supervision, turnover intentions, and extra effort. Results were inconclusive with regard to the notion that leader prototypes and transformational, transactional, and laissez-faire leader behaviors are exemplified by a nonrecursive relation. Leader prototypes and specific behaviors combined to influence work outcomes in either a full or partial mediation framework. Most often, the specific behaviors had a strong, direct influence on work outcomes. Leader prototypes indirectly influenced outcomes through the mediation of specific leader behaviors. The results are discussed in terms of the theoretical and practical benefits of actively incorporating implicit leadership theories into the transformational and transactional leadership framework, as well as the theoretical frameworks of other existing leadership models. It is argued that such an approach would result in a greater understanding of the leader-follower relationship and the overall leadership influence process. / Ph. D.
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Socioeconomic Development In The Southeast Region Of The United States From 1995 - 2000: A Structural Equation Modeling And A Gis Modeling ApproachEldev-Ochir, Erdenechimeg 15 December 2007 (has links)
This research presented in this study demonstrates that county level population growth, economic growth, and localized social structure are interrelated. An analysis of the spatial distribution of these factors in the Southeast Region of the United States during the period of 1995-2000 also indicates the importance of differences in rural versus urban and coastal versus non-coastal areas as well as the importance of such factors as highways, large cities, and universities in economic, population, and social structure interrelationships. An extensive dataset is used in the analysis as a number of analysis tools including statistical analysis, econometric models, spatial econometric models, structural equation models, and GIS mapping.
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