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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.

When investing in crowdfunding projects, every investor has some difficulties in selecting the right one. The most important issue is choosing criteria that show the value of the specific project. The aim of this study was to determine which of the criteria are the most important for investors when selecting various crowdfunding projects to fund. A visual analogue scale matrix for criteria weighting (VASMA weighting) methodology was used to determine the main criteria that affect investors’ decisions to invest. The VASMA methodology can capture both objective and subjective parts of criteria weighting. In addition, the risk factor was considered a success driver of crowdfunding projects. The main findings reveal that the criteria of the three risk groups have the highest weights of the VASMA weighting methodology. In this research, only investor preferences were chosen and analyzed for successful crowdfunding project investment. The VASMA weighting methodology’s criteria ranking might help investors select the most exciting crowdfunding project to fund.

Despite the strong public interest in the accountability and efficiency in education spending on higher education institutions (HEIs) in Lithuania, there are currently no existing studies which have examined the impact of HEIs on the country’s economy. In the present study, we have used a disaggregated input-output table for Lithuania’s tertiary education institutions in order to determine the output value added to the local economy by the presence of HEIs. The results of the study have revealed that HEIs contribute to the Lithuanian economy in the period of (2010–2016), with the average of gross domestic output (GDP) of 298.48 mln. euros. The present study is the first of its kind to use input-output table evaluate the impact of HEIs on Lithuania’s economy, and its results could be of significant value to the current policy debates regarding the status of higher education in Lithuania.

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