The Council of Supply Chain Management Professionals (CSCMP) Announces the Winner of the 2018 Doctoral Dissertation Award
- (October 1, 2018) The Doctoral Dissertation Award (DDA) is for doctoral students who demonstrate significant originality and technical competence in any supply chain function. The DDA is open to all who will have completed their doctoral work in a field related to functions within the supply chain.
The doctoral dissertation award was presented to Dr.Tobias Kosmol during CSCMP's Academic Research Symposium at the Annual EDGE Conference beginning on September 30, 2018, in Nashville, TN for his doctoral dissertation entitled: "Supplier Quality Management in Emerging Markets - The Interplay of Behavior and Cognition".
The purpose of the dissertation is to address this gap by taking into account both SCM practices (i.e., activities that span firm boundaries and that a variety of firms might execute) and managerial cognition (i.e., the mental activities involved in managers' information processing). In particular, the dissertation takes a configurational approach to investigate the interplay between SCM practices and managerial cognition. A configurational approach analyzes how different combinations of factors (i.e., configurations) lead to an outcome of interest (Karatzas et al. 2016; Ragin 2008) and is particularly suited to generating a better understanding of the complex interplay between practices and cognition.
Tobias Kosmol completed his doctorate degree in 2017 at the Otto Beisheim School of Management in Koblenz, Germany under Professor Dr. Lutz Kaufmann. Dr. Kosmol completed a Bachelor of Arts in business administration from Friedrich-Alexander-University, has studied at Peking University and Sichuan University in China, he completed his Master's Degree in Management at the University of Mannheim. Dr. Kosmol is a member of the International Purchasing and Supply, Education and Research Association and the Council of Supply Chain Management Professionals.
The Selection Process
A selection committee comprised of both academics and practitioners using a blind review process will evaluate dissertation abstracts. The author's name must remain unknown and therefore the abstract should not make any reference to either the author or his/her academic institution.
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