The main objective of DESUS is to build a novel and comprehensive database of Greek start-ups, and use quantitative (financial) and qualitative (non-financial) information as well as the preference information of decision-makers to develop a multi-criteria judgmental rating model able to handle start-ups’ uncertainty and estimate the probability of obtaining finance, which will then provide the basis for the development of an online decision support system (DSS).
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Delighted to share that the DESUS project will be represented at the 15th National Conference of the Financial Engineering and […]
We are excited to announce that the DESUS Project will be represented at the International Conference on Business and Economics […]
Timeline
DESUS participated with a presentation on “Unpacking Startup Evaluation: A Four-Decade Review of Drivers and Analytical Approaches” at the International Conference on Business and Economics of the Hellenic Open University.
By providing a detailed view of the decision-making process behind investments, DESUS project will contribute to filling the literature gap on start-up financing and will enable researchers to make better comparisons between the kinds of investors as well as identify further impactful variables in future research.
The Hellenic Foundation for Research and Innovation approved the implementation and funding of the DESUS project, within the framework of Action '3rd Call for H.F.R.I. Research Projects to support Faculty Members and Researchers', which aims to support the implementation of selected research projects of high scientific quality and excellence, in the context of promoting the research activity in Greece.
In recent years, the digital revolution in Greece has led to multiple promising start-ups bursting into several industries. However, there is a paucity of information on the types of start-ups that are more likely to secure finance from investors, which complicates investors’ financing decision-making. In this project, a novel and comprehensive database of Greek start-ups will be built, and quantitative (financial) and qualitative (non-financial) information as well as the preference information of the decision-maker (i.e., investor) will be used to develop a multi-criteria judgmental rating model able to handle start-ups’ uncertainty and estimate the probability of obtaining finance.
