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Studies and researches
Vol. 15 Issue 1 - 6/2023
SPACE-RL Innovation Transfer Model “Science – Business”
The article deals with creating the innovation transfer model “science - production – business”. It is based on quantitative indicators for assessing the external environment and market analysis, the landscape for implementing the development and introduction of innovation and evaluating the internal environment and the level of readiness for implementation. The authors provide ways of commercializing the scientific research results and describe the role of an entrepreneurial university in achieving the main tasks of innovation and technology transfer. A combined SPACE-RL model for assessing the prospects for new scientific ”products” concerning external and internal influencing factors is proposed. The SPACE matrix, from a subjective assessment tool based on qualitative indicators determined by experts, has turned into a SPACE-RL model, in which it is possible to compare the entrepreneurial university's capabilities in terms of the strategy of bringing the invention to the market and the readiness of the invention to become innovation The SPACE-RL model maximally objectifies the innovation transfer process, reducing the influence of qualitative factors on decision-making. Read more
Keywords:
transfer model, technology transfer, innovation, entrepreneurial university, commercializing, SPACE-RL model

JEL:
O31, O32
Studies and researches
Vol. 17 Issue 2 - 12/2025
Institutional Efficiency and Research Productivity in Transitional Higher Education Systems: Panel Evidence from Uzbekistan
This study investigates the determinants of research productivity in Uzbekistan’s public universities using a balanced panel of 15 institutions over 2010–2023. The analysis integrates three complementary dimensions: human capital, institutional efficiency, and macroeconomic conditions to explain why research output varies markedly across universities during a period of rapid reforms. A fixed-effects instrumental-variable model is employed to control for unobserved institutional characteristics and potential endogeneity in spending efficiency and economic indicators. The results show that academic staff capacity is the strongest predictor of research productivity, while GDP growth also contributes positively by creating more stable conditions for long-term academic development. Education spending efficiency has a meaningful effect, suggesting that governance and internal management shape how resources translate into research outcomes. These findings underscore the need to strengthen faculty development, improve institutional accountability, and align higher education policy with national economic priorities. Read more
Keywords:
Research productivity, human capital, institutional efficiency, higher education reform, panel data analysis, economic development, Uzbekistan

JEL:
C33, I23
EJIS is published under the research grant no. 91-058/2007 The Development of Interdisciplinary Academic Research Aimed at Enhancing the Romanian Universities International Competitiveness, coordinated by The Bucharest University of Economic Studies and financed by CNMP Romania.
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