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Measuring methods of the efficiency of university technology transfer
21-29Views:136Nowadays, the socio-economic role and function of universities as well as their relationship with the industry, are more than ever in the focus of both the political and the academic spheres. The importance of knowledge and technology transfer is increasingly stressed in various economic development plans and strategies. The increased interest is due to the fact that universities are located at the crossroads of education, research and innovation, which might be crucial for the country's economic competitiveness. The commercialization of university research results is a well-defined task of technology transfer offices. Measuring the efficiency and successfulness of such offices is a difficult, but not impossible task. The present article aims to analyze the existing literature on measuring the efficiency of technology transfer activities and to introduce the most commonly used measuring methods of effective technology transfer. The article attempts to answer the question how to measure the efficiency of technology transfer by reviewing the available international literature and by analyzing secondary data.
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Measuring projectmanagement efficiency by Data Envelopment Analysis
121-124Views:166I suppose that there is a relation between the success of EU-funded projects and the effectiveness of project management teams which implement them. To examine the accuracy of the assumption and the nature of the relationship I needed a measurement method that was suitable for measuring the effectiveness of project management teams implementing EU funded projects in a given construction. Since Data Envelopment Analysis (DEA) has already been used to measure the efficiency of decision making units in other areas, it seems suitable for measuring project management effectiveness and indirectly measuring project efficiency.
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The significance of local meteorological stations in research planning
87-91Views:235The goal of research planning is to optimize human and material resources while maximizing efficiency. If there are databases that can be used as a substitute for own data collection, effective research can be facilitated by reallocating resources. In the case of environmental studies, the knowledge of the climatic conditions of the study period is known to be a key factor in research planning process.
In the present study, the data of our meteorological station in our research area (known as “Szamárháti Tanya”, Kesznyéten, Hungary) was compared with the measurements of meteorological stations operated by the competent water authority. Stations were taken into the study within a 10 and 20 km radius over a period of 21 months, to determine which provided more relevant data from the area.
During the evaluation of results, the relationship between the local and regional weather stations were determined, and deductions were made from the obtained results to support the decision which of the targeted investigations could be of greater benefit.