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thesis_Daniela Noethen_print final - Jacobs University

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Outline<br />

Outline<br />

The core of the present dissertation consists of three research papers that were written to be<br />

published in scientific journals and that have been slightly adapted for the present format. The<br />

three articles are linked by a red thread, and, together, draw a picture of knowledge transfer as<br />

a path to the prevention of knowledge loss. As there are some basic terminologies and<br />

concepts that all three articles build upon, an introductory chapter is added to explain these<br />

common grounds. All three empirical chapters describe the respective theoretical background,<br />

the methods used, and results obtained, and wrap up with a discussion of the specific results.<br />

A concluding chapter is then devoted to the discussion of the results of the dissertation as<br />

such. References and appendices are provided for each chapter separately.<br />

In chapter one, the main terms and concepts revolving around knowledge are clarified<br />

and explained, including knowledge, knowledge management, and knowledge transfer. This<br />

is followed by a brief discussion of implications of the given definitions for the study of<br />

knowledge loss. Moreover, a brief overview of knowledge management as a discipline will be<br />

given and the present work will be positioned within this broader context.<br />

Chapter two consists of the first research paper and describes the first study, which<br />

formed part of the “demopass”-project and examined predictors of knowledge transfer<br />

between employees. There is a considerable amount of literature on predictors of knowledge<br />

transfer, but due to inconclusive and inconsistent results as well as the large variety of<br />

possible predictors proposed and studied, there is as yet no clear understanding of the<br />

underpinnings of knowledge transfer (Argote, 1999; Ko, Kirsch, & King, 2005; van Wijk et<br />

al., 2008). Thus, I propose and test two important differentiations which can help disentangle<br />

predictor effects: the distinction between individual and team level effects of predictors, and<br />

the distinction between the effects on two different knowledge transfer behaviors, namely<br />

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