Knowledge Transfer in Teams and Its Role for the Prevention of Knowledge Loss

  • With the demographic change and the imminent waves of retirement, a threat of knowledge loss for organizations becomes more and more apparent. In my dissertational work, I focused on knowledge transfer within work teams as one important means to counteract this development. More specifically, I first investigated, in a cross-sectional survey study in two German mid-sized companies, how knowledge transfer can be encouraged or impaired, and what kind of distinctions have to be made (e.g., effects at different levels of analysis) to reach conclusive and valid results when examining knowledge transfer. In a second study, which was again a survey study, conducted at three branches of a German public administration, I took a closer look at intergenerational knowledge transfer. The aim was to investigate if there is naturally more knowledge transfer from older to younger employees. Thus, age effects at three different levels, the dyadic level (age difference between two employees), the individual level (age), and the team level (age diversity) were examined. As both, the first and the second research questions rather focus on predictors of knowledge transfer, the third research aim was to investigate what happens to knowledge transfer in situations of a threat of knowledge loss for the organization. To this end, I examined, based on data from the second study, if employees share less knowledge when they intend or expect to leave the organization. For all three research questions, data were analyzed using multilevel analyses, taking into account the nested data structure of employees in teams, and simultaneously investigating predictors at different levels. Following an introductory chapter, the three empirical parts are described in more detail, providing theoretical background, methods used, and results obtained as well as a discussion of results for each research paper. The dissertation concludes with a general discussion of the findings of the different papers.

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Publishing Institution:IRC-Library, Information Resource Center der Jacobs University Bremen
Granting Institution:Jacobs Univ.
Author:Daniela Noethen
Referee:Sven Voelpel, Clemens Schwender, Torsten Biemann, Christian Stamov Ro├čnagel, Jaime Alfonso Bonache
Advisor:Sven Voelpel
Persistent Identifier (URN):urn:nbn:de:101:1-201305157341
Document Type:PhD Thesis
Language:English
Date of Successful Oral Defense:2011/05/06
Date of First Publication:2011/05/23
PhD Degree:Business Administration
School:JCLL Jacobs Center on Lifelong Learning and Institutional Development
Library of Congress Classification:H Social Sciences / HD Industries. Land use. Labor [incl. Management] / HD28-70 Management. Industrial management / HD30.19-30.29 Theory. Method. Relation to other subjects / HD30.2 Electronic data processing. Information technology Including artificial intelligence and knowledge management
Call No:Thesis 2011/16

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