Browsing by Subject "Forschungskooperation"

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Entscheidungsorientierte Bewertung von Forschungskooperationspartnern
(2012) Vaclavicek, Peter; Troßmann, Ernst
This thesis focuses on developing a method which can be used to evaluate potential partners to cooperate with in an intercompany research cooperation. Research is understood as systematically applying scientific methods in order to gain new knowledge. An intercompany cooperation is understood as a goal-directed, contractually settled long-term collaboration that is established on a voluntary basis between legally independent, yet consequently commercially mutually dependent companies. Decision-theory based evaluation of research cooperation partners requires processing a great deal of relevant information and the design of a suitable methodology. Research cooperation goals are seen as the essential benchmark on the basis of which alternative research cooperation partners are to be evaluated. Consequently, they are essential for the methodology to be chosen. Through the studying of literature, goals that are to be achieved through engaging in a research cooperation are thoroughly analyzed. Essential goals are content goals, timeframe goals and financial goals. Additional goals of more special character are risk reduction and feasibility. All characteristics of a company to be evaluated as a potential research cooperation partner are to be benchmarked in order to evaluate their value for achieving research cooperation goals. Conveniently, these characteristics can be distinguished between two types: first, the objectively observable potentials of a potential research cooperation partner. These characterize his capabilities, to enrich the planned research project in a purposeful way, when compared to one?s own capabilities. Capabilities of importance for research projects can typically be seen in material operating resources (e.g. experimental plants or specialized IT-facilities), human resources (e.g. laboratory staff), immaterial resources (particularly knowledge) and finally financial resources. Second, the will (or: motivation) is the second set of relevant cooperation partner characteristics. The best alternative to engaging in a research cooperation with any partner is to realize the intended research project by oneself, i.e. without a cooperation partner. This alternative is referred to as the null alternative. Consequently, all potential research cooperation partners are to be compared with the extent to which research goals can be achieved through one?s null alternative. The key aspect of the methodology to be developed thus is the evaluation of positive and negative consequences of choosing a particular company as a partner to cooperate with. Positive consequences (or: advantages) can be identified as a better achievement of goals than would be possible when realizing the null alternative. Since different goals are to be measured with different scales, standardization through a scoring model becomes necessary. Negative consequences (or: disadvantages) of cooperating with a particular partner result from his lack of cooperation will. In particular means and instruments of intercompany coordination are to be evaluated. Having determined advantages and disadvantages of a particular research cooperation partner, both findings can be added in order to generate an overall partner value. The higher this partner value, the more suitable is the company as a research cooperation partner. As long as the partner value is above zero, i.e. positive, cooperation leads to a better goal-achievement than realizing the null alternative (i.e. realizing the research project by oneself). A negative partner value however indicates that realizing the null alternative would mean a better goal achievement than engaging in a research cooperation with this particular partner. The wide usability of the methodology developed is demonstrated by a concluding discussion of three particularly relevant constellations in intercompany research cooperations: research coopera-tions with more than just two research partners (i.e. research networks), international research cooperations, and research cooperations in public-private-partnerships. Specific requirements of using the developed set of methodology in these three constellations are highlighted conclusively.
Knowledge networks in the German bioeconomy : network structure of publicly funded R&D networks
(2019) Bogner, Kristina
Aiming at fostering the transition towards a sustainable knowledge-based Bioeconomy (SKBBE), the German Federal Government funds joint and single research projects in predefined socially desirable fields as, for instance, in the Bioeconomy. To analyse whether this policy intervention actually fosters cooperation and knowledge transfer as intended, researchers have to evaluate the network structure of the resulting R&D network on a regular basis. Using both descriptive statistics and social network analysis, I investigate how the publicly funded R&D network in the German Bioeconomy has developed over the last 30 years and how this development can be assessed from a knowledge diffusion point of view. This study shows that the R&D network in the German Bioeconomy has grown tremendously over time and thereby completely changed its initial structure. While from a traditional perspective the development of the network characteristics in isolation seems harmful to knowledge diffusion, taking into account the reasons for these changes shows a different picture. However, this might only hold for the diffusion of mere techno-economic knowledge. It is questionable whether the artificially generated network structure also is favourable for the diffusion of other types of knowledge, e.g. dedicated knowledge necessary for the transformation towards an SKBBE.