How to Optimise the Efficiency of Science and Research, the Most Important Critical Success Factors of the High-Tech Economies - Scientific Methods Server

01-09-2005

The study provides the European Parliament with practicable solutions for raising substantially the efficiency of publicly funded academic research. The survey makes recommendations for raising efficiency - in experimental research using biotechnology as an example, - in the operation of research infrastructure and - in technical research processes. To this end, knowledge gained from commercial production processes is applied to research processes. In this regard it is essential to introduce new ways of thinking where research is concerned: 1. In many areas, research facilities function in a similar way to commercial enterprises. 2. For this reason value-creation is pursued also in research facilities. 3. Individual research processes are comparable with value-creation steps in the commercial economy. 4. Certain research processes and the deployed infrastructure contain significant potential for efficiency optimisation.

The study provides the European Parliament with practicable solutions for raising substantially the efficiency of publicly funded academic research. The survey makes recommendations for raising efficiency - in experimental research using biotechnology as an example, - in the operation of research infrastructure and - in technical research processes. To this end, knowledge gained from commercial production processes is applied to research processes. In this regard it is essential to introduce new ways of thinking where research is concerned: 1. In many areas, research facilities function in a similar way to commercial enterprises. 2. For this reason value-creation is pursued also in research facilities. 3. Individual research processes are comparable with value-creation steps in the commercial economy. 4. Certain research processes and the deployed infrastructure contain significant potential for efficiency optimisation.

Awtur estern

Walter Gränzer (Technische Universität München, Germany) with the support of Oliver Haas, Christian Hackl, Ulrich Wild (TUM-Tech GmbH, Germany)