Ferenc Bognár is a research fellow at the Department of Management and Business Economics at Budapest University of Technology and Economics. Ferenc holds a Ph.D. from the University of Pannonia Faculty of Business and Economics. Ferenc completed his MSc in Engineering Management in 2006 and he completed his MBA in 2009 at the University of Pannonia. Ferenc spent a semester as a grant holder at Rovaniemi University of Applied Sciences in Finland in the second year of his doctoral studies.
His research interest focuses on multidisciplinary research projects which are in the crossroads of the fields of reliability engineering, social sciences and innovation. In the last years, Ferenc focuses on developing new failure mode and effect analysis methodologies which can be applied effectively in the academic and the practical field as well.
Ferenc has extensive practical experience in education, project management, and consulting. He is a member of the Hungarian Academy of Sciences’ Committee of Business Administration.
Successful social innovation projects can change the life of the target communities and the key mechanisms of currently existing systems. If the best social innovation project can be selected, it will have the most profound impact on the community. The aim of the research is to develop a framework that can help to select the best social innovation projects based on the following criteria: estimated maximum effect on creating new networks, estimated maximum fit to regional value sets, estimated maximum social impact, estimated minimal risk of implementation. Other criteria can be involved to the estimation process; thus the relevant key success factors of the social innovation projects should be examined and probably should be reclassified using the information of the scientific and practical literature. The framework must provide feedback on the pattern of the subjective weightings of the experts and the rationality test of the experts as well. The framework must also provide feedback on the quality of group decisions.
