DECISION-MAKING ALGORITHM FOR OPTIMIZATION OF RESEARCH RESULTS COMMERCIALIZATION PROCESS IN UNIVERSITY “POLITEHNICA” FROM BUCHAREST
Universities and public research organizations are confronted today with the imperious necessity of contributing much more to technology transfer processes and applicative research results commercialization. In this respect, a decision-making algorithm is needed to be in place, following different models, depending on their mission and the strategic objectives, the entrepreneurial oriented one being today the most challenging one. The present paper takes into account the money allocation for activities done by a Technology Transfer Office (TTO), i.e. the one from University “POLITEHNICA” from Bucharest (UPB), the revenues obtained by UPB through research results commercialization, and, by adapting Laplace & Hurwitz decision-making strategies, taking into account uncertainty conditions, and a data analysis procedure, we offered recommendations about “increasing-decreasing-keeping the same” money allocation for TTO, in different scenarios of similar “increasing-decreasing-keeping the same” “gross profit” coming from research results commercialization, implying different expertise (“technology push”, “market pull” and “start-up”) in estimation of this profit evolution, with two sets of "degree of confidence" (Cases 1 & 2). We proved that the developed Laplace & Hurwitz models are very sensitive, referring to the estimated values of “gross profit” taken into calculation by different experts, depending on alternatives for money allocation for TTO, and on the presumed three scenarios of research results commercialization efficiency.
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