I ask on the street, there is not enough money, how difficult it is to get a job, the situation is very complicated, what is happening to young people or people over 45, we need work. I could go on and on about what I hear from Digos, but I’m also focused on finding solutions, so my posts focus on spin offs.
It is very fashionable to ask about artificial intelligence at the moment, how entrepreneurs can innovate by improving their services or producers, creating value according to the needs of markets, so I want to explain how spin offs and artificial intelligence go hand in hand.
The creation of technology-based companies within universities, especially university spin-offs, has become one of the most effective means of transferring research and technology results from university research centers to the manufacturing sector in recent years. Consequently, these types of enterprises are studied because of their important role in innovation processes, job creation and their contribution to socioeconomic development.
Academic spin-offs are defined as companies born from the hands of researchers within research centers and universities, with the aim of transforming the results of research and knowledge into products and technologies with high added value, leading to commercial development through its activities. and economic growth affecting the competitive development of the manufacturing sector as a whole.
The high-tech and knowledge-based elements of university spin-offs are their differentiating advantage in the market, and this makes them a special typology. Exploitation of university-generated innovation results through spin-offs characterizes a different scenario of market introduction. Greater investment in research and development activities, training, modernization and implementation of advanced management technology solutions and continuous restructuring of business models and constant restructuring of the portfolio of products and services will guide the transformation and adaptation of the entire manufacturing sector.
The identification of groups of university spin-offs with similar behavior and characteristics has been carried out using a cluster analysis. This multivariate technique allowed the identification of groups of a specific nature, and a taxonomy of university spin-offs could be extracted from the analysis. In summary, cluster analysis allows for comparisons between groups and identifies structures that identify the firms participating in the study in order to identify patterns of behavior based on the performance of university spin-offs. It will be a great opportunity when the institutes are created within the academy and the clusters look to join the market with the support of the leading institutions that will drive the growth and economic empowerment of the country.
In addition, it would be interesting to analyze, on the one hand, whether the measurement tools support the spin-offs that support the characteristic elements of the research and development activities of these companies and, on the other hand, to design the measurement tools. Impact on support tools for university spin-offs and their development in terms of productivity and profitability of the innovation process. This approach can achieve a level of success that matches that of academia and the opportunity for companies to create highly qualified human capital with new jobs and experience. Let’s make room for these opportunities to move a company forward in life, because Costa Rica deserves more and entrepreneurship is key to economic recovery.
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