BAYESIAN APPROACH TO THE PROCESS OF IDENTIFICATION OF THE DETERMINANTS OF INNOVATIVENESS

Marta Czyżewska and Teresa Mroczek
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Marta Czyżewska: Department of Microeconomics, University of Information Technology and Management in Rzeszow
Teresa Mroczek: Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management in Rzeszow

Financial Internet Quarterly, 2014, vol. 10, issue 2, 44-56

Abstract: Bayesian belief networks are applied in determining the most important factors of the innovativeness level of national economies. The paper is divided into two parts. The first presentsthe basic theory of Bayesian networks whereas in the second, the belief networks have been generated by an inhouse developed computer system called BeliefSEEKER which was implemented to generate the determinants influencing the innovativeness level of national economies.Qualitative analysis of the generated belief networks provided a way to define a set of the most important dimensions influencing the innovativeness level of economies and then the indicators that form these dimensions. It has been proven that Bayesian networks are very effective methods for multidimensional analysis and forming conclusions and recommendations regarding the strength of each innovative determinant influencing the overall performance of a country’s economy.

Keywords: Bayesian approach; determinants; innovativeness (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:wsz:fiq000:v:10:y:2014:i:2:id:773

DOI: 10.65748/1734-039X_10_2_004

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