Academic Teams and Commercialization in the Life Sciences

Transformation of the Algorithm for Prioritising Clinical Trial Development in Kazakhstan Based on Practical Significance

The research relevance is determined by the need for rational use of limited resources in the healthcare sector and the importance of implementing the results of scientific research into medical practice to improve the quality of medical care. The study aims to identify key criteria and develop a system for evaluating clinical trials to prioritise the most promising areas based on their practical applicability in healthcare. The expert evaluation method of 17 research projects in the field of clinical medicine funded by government grants, involving 37 experts, was used to achieve the objective. The experts conducted the assessment using a multi-criteria system, including 4 categories and about 20 individual indicators. The results showed that 58.8% of the projects required a change in the composition of the teams, and in 70.6% of cases, third-party organisations were involved for methodological support. About 41.2% of applications had a solid scientific basis, but the demand for the results of 17.6% of projects decreased due to the COVID-19 pandemic. For 23.5% of projects, the proposed topics were of low public demand. Only 47.1% of the projects demonstrated interest in addressing national health issues. In 17.2% of fundamental projects, assessing the economic efficiency was difficult. In 23.5% of cases, projects could have been financed from other sources. The timeframe of 3 years was assessed as insufficient for 76.5% of highly specialised projects. Based on the analysis, recommendations for improving processes to increase the practical significance of research are formulated. The study contributes to developing an evaluation methodology and improving the efficiency of grant funding in medicine.

The effects of social capital on entrepreneurial resilience of SME from China: A moderated mediation model of entrepreneurial passion and Confucian traditional golden-mean thinking

Small and medium-sized startups play a crucial role in a country's sustainable development. SMEs are at an early development stage, which means weaker institutional norms and successful paradigms, tending to suffer from exceptionally high failure rates because of many constraints, including a lack of resources and credit to access the core information. The higher the environmental uncertainty, the more likely that new start-ups rely on all kinds of social links for acquiring resources. As a critical ability to withstand and overcome obstacles, entrepreneurial resilience is an essential personal characteristic to ensure the sustainability of new ventures. The purpose of this study is to investigate the internal mechanism through which SME entrepreneurs' social capital affects entrepreneurial resilience. To reveal the internal mechanism, we propose a moderated and mediation model. Using survey data from SEM entrepreneurs in China, hierarchical regression analysis and bootstrapping model are adapted to test and verify mediation and moderation effects. The results show that social capital indeed positively influences entrepreneurial resilience directly and partly through the mediating effect of harmonious entrepreneurial passion and obsessive entrepreneurial passion. Moreover, findings suggest golden-mean thinking negatively moderates the relationship between obsessive entrepreneurial passion and entrepreneurial resilience yet positively moderates the relationship between social capital and entrepreneurial resilience. Based on these findings, we conclude that entrepreneurial resilience may be achieved more effectively through the complex internal process of social capital, entrepreneurial passion, and golden-mean thinking. Finally, the study proposes the theoretical and practical implications and suggestions for follow-up research.