thesis_Daniela Noethen_print final - Jacobs University
thesis_Daniela Noethen_print final - Jacobs University
thesis_Daniela Noethen_print final - Jacobs University
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5. General Discussion<br />
In the previous three chapters, the empirical work that has been done within the framework of<br />
this dissertation has been presented, and the respective findings have been discussed. In this<br />
last chapter, the goal is to discuss, at a broader level, how the results of the three papers relate<br />
to each other as well as general limitations of this dissertational work, to critically examine to<br />
what extent the objectives of the dissertation have been reached, and what we can derive for<br />
future directions of research. I will conclude this chapter by discussing the relevance of this<br />
dissertation for and contributions to the research field.<br />
5.1. Recurrent Issues Across Papers<br />
So far, the findings of the single papers have only been discussed separately. In the following,<br />
I will abstract from the single papers and focus on recurrent and striking results of the<br />
dissertation as a whole, such as important predictor variables (5.1.1.), distinctions to be taken<br />
into account in knowledge transfer research (5.1.2.), and the necessity of multilevel research<br />
(5.1.3.).<br />
5.1.1. Important predictor variables: Age and intrinsic motivation<br />
Two of the constructs investigated as predictors of knowledge transfer in the three papers<br />
merit a short discussion: First, age as an influencing factor that is rather new in this context,<br />
such that it has not been considered as a predictor in previous research, but is increasingly<br />
important due to the changing age structure in organizations; and second, intrinsic motivation,<br />
a potent influencing factor that strongly influenced knowledge transfer and seems to be one of<br />
the few consistently found predictors.<br />
First, the effect(s) of age: Clearly, one of the foci of this dissertation was the study of age<br />
effects on knowledge transfer, owing to the framing within the context of knowledge loss and<br />
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