See Staff

Peter Beerten

PhD student
Room: RA-2345

GENERAL INFO

Peter develops Knowledge Topology & Taxonomy for governmental & high tech organizations. Next to his full time job he started his PhD research at the faculty of Economics & Governance of the University of Utrecht- USBO in June 2016 under the guidance of Prof. Paul Verweel†. The goal of his PhD-study is to design a mechanism to convert implicit un(der)used knowledge into explicit transferrable knowledge. Based on the real live longitudinal innovation case study at Rijkswaterstaat about “Development of a Performance conservation plan for infrastructural objects”, he has been working on the development and validation of an instrument to make the un(der)used knowledge visible and employable.

Thanks to the collaboration between the University of Utrecht/ USBO and the University Twente on HRM-based themes Peter continues his PhD at the University of Twente.  

After obtaining his bachelor on Applied Communications at the Hoger Instituut voor Bedrijfsopleiding, Peter received his Executive master from the Business University Nyenrode on Intervention management with the thesis “Knowledge flex through knowledge networking, how knowledge networks can improve the organizations knowledge sharing and increase its innovative performance”. 

Peter advises today non-profit (Rijkswaterstaat, de Rechtspraak) as well as profit organizations (ASML, Shell) in their Knowledge strategy, structure & systems. He supports the development of a digital knowledge card which allows organizations to make better use of their experts in tackling wicked issues & innovative projects. In the past he has trained and coached national and international management of multinational companies (MSD, ITT-Sheraton, Citibank) on Leadership, Team management, Change & Cultural management and Communication skills. In his early career Peter has performed as a senior consultant & interim manager and dealt with reorganizations, turnarounds and M&A assignments in small and large organizations.

RESEARCH INTERESTS

  • Knowledge sharing & conversion
  • Knowledge topology
  • Knowledge taxonomy