Purpose – to find appropriate tools to measure the efficiency of the technology transfer process (TTP) in higher education institutions (HEIs). Scientific problem is a lack of methods measuring the efficiency of TTP. The objective – comparative analysis of efficiency evaluation methods. Research methodology – the research methodology is based on a comparative analysis of the research papers on the advantages and disadvantages of methods suitable to evaluate the efficiency of TTP. Findings – among some tools, FARE is highlighted for identifying the variables of TTP and assigning their weights, when TOPSIS – to rank the variables and identify the most important. MULTO-MOORA and COPRAS methods with ranking abilities are suitable to select the number of HEIs. DEA method is intended for the economic evaluation of TTP efficiency in HEIs. The social sciences are strengthened by suitable founded tools to measure the efficiency of TTP in HEIs. Research limitations – this paper is providing all advantages and disadvantages (limitations) of decision-making multicriteria methods. Practical implications – the original structure of methods enabling stakeholders (HEIs, TTOs and public authorities) for efficient allocation of an organisation’s financial resources, foresee the future goals for improving the efficiency of TTP. Originality/Value – the original framework of methods incorporated into the one model, enabling related stakeholders (HEIs, TTOs and public authorities) allocate financial resources efficiently.

Innovative activities, knowledge exchange, patenting and commercialization of know-how are crucial to the value creation process in higher education institutions and other research organizations. The article analyses the technology transfer performance indicators of value creation. The methodology to identify and assess the technology transfer activities with the highest impact on created value are proposed in the paper. The following research methods were invoked: FARE method, allowed to calculate weights of each technology transfer performance indicator, when TOPSIS method redress all different indicators’ results and rank universities. The application of the proposed methodology was based on empirical data collected from Lithuanian universities. The results of the study reveal the importance of science business partnerships, TTO competence and scientists’ trust of TTO, applying particular technology transfer policy. The obtained results would be beneficial for universities technology transfer policy formation to maximize universities created value.

This paper is presenting the model to assess the technology transfer (TT) process economic performance of universities. The main indicators were identified and empirical research with MULTIMOORA tool was performed on 7 Lithuanian state-funded universities. The data was gathered from the Research Council of Lithuania official public report for the period of [2012-2014]. The research results show that MULTIMOORA tool fits to evaluate the TT process economic performance of HEIs. The proposed model is applicable to assess different results of TT process activities in HEIs. MULTIMOORA is a multi-criteria non-subjective evaluation tool, allowing to increase the choices of alternatives and features, serving to select the best alternatives, moreover, enabling more efficient allocation of financial and human resources. MULTIMOORA tool allows extending the implementation onto other countries.

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Higher education institutions (HEI) performance results depends not only on successful innovative technology transfer (TT) activities and university-industry cooperation, but also on governance funding, distributed by the priority for certain research and development (R&D) fields. The purpose of this article is to propose a concept to assess the efficiency of R&D funding by sector of performance in European countries. The main goal of the paper is to propose a concept to assess the efficiency of R&D funding in European countries, provide insights, recommendations, and point out tendencies for the future improvement of European funding system for HEIs. Multicriteria ranking method COPRAS – an instrument for analysis and decision-making. The empirical research is based on Eurostat data for the period of 2005–2014. Expenditures on R&D gives the fluent explication of European R&D funding (investments) emphasizing the execution of innovation and TT activities at universities. The proposed assessment model allows comparing performance results and rank countries according the efficiency of research funding. Empirical results reveal that the comparatively higher efficiency of research expenditures is in the Northern European countries, Luxembourg and France. Latter tendency slowing to move forward and enhance performance results of HEIs, as well as countries’ economic growth.