###### Abstract
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Internal Key Factor** & **Core Feature** & **Definition** & **Source of Information** \\ \hline F5. STP promotors & & & STP model according to Table 1 and author’s expertise. Promotors, STP ownership, management, and university linkage are considered in this classification. & \\ \hline F6. STP management & & Fe01. Type of STP & STP model according to Table 1 and author’s expertise. Promotors, STP ownership, management, and university linkage are considered in this classification. & \\ \hline F7. University/STP interactions & & & \\ \hline F8. STP age & & Fe02. STP age & STP years in operation. & Primary sources \\ \hline F9. STP size & & Fe03. STP size & Total surface area of the STP (m\({}^{2}\)). & Primary sources \\ \hline F12. Number of companies & & Fe04. Companies & Total population of companies in the STP. & Primary sources \\ \hline F13. Revenue & & Fe05. Turnover & Total amount of the cost of goods or services billed by the entities of an STP during a year (in millions of \(\Phi\)). & Primary sources \\ \hline F14. Employees in companies & & Fe06. Employment & Total employees in the companies of the STP. & Primary sources \\ \hline  & & Fe07. International companies & Number of STP firms in which more than 10\% of the capital is owned by a foreign company or is a branch or subsidiary of a foreign company. & Primary sources \\ \cline{2-5} F15. Company profile & & Fe08. Incubated companies & Number of companies less than 3 years old incubated at the STP. & Primary sources \\ \cline{2-5}  & & Fe09. Average company size 1 & =Fe06/Fe04 & Knowledge features \\ \cline{2-5}  & & Fe10. Average company size 2 & =Fe05/Fe04 & Knowledge features \\ \cline{2-5}  & & Fe11. Internationalisation & =Fe07/Fe04 & Knowledge features \\ \cline{2-5}  & & Fe12. Productivity & =Fe05/Fe06 & Knowledge features \\ \cline{2-5}  & & Fe13. Incubation ratio & =Fe08/Fe04 & Knowledge features \\ \hline  & & Fe14. Employment R\&D & Employees dedicated to R\&D \\ \cline{2-5} F16. R\&I & Fe15. Investment R\&D & Expenditure on R\&D made by the STP companies (in millions of \(\Phi\)). & Primary sources \\ \cline{2-5} F16. R\&I & Fe16. Filed patents & National patents filed by the STP entities on a yearly basis. & Primary sources \\ \cline{2-5}  & & Fe17. Granted patents & National patents granted to the STP entities on a yearly basis. & Primary sources \\ \cline{2-5}  & & Fe18. Innovative profile 1 & =Fe14/Fe06 & Knowledge features \\ \cline{2-5}  & & Fe19. Innovative profile 2 & =Fe15/Fe05 & Knowledge features \\ \cline{2-5}  & & Fe20. Patents ratio 1 & =Fe16/Fe04 & Knowledge features \\ \cline{2-5}  & & Fe21. Patents ratio 2 & =Fe17/Fe04 & Knowledge features \\ \hline \hline \end{tabular}
\end{table} 
Table 2: List of core features associated to each key factor affecting STPs [2]. current situation of Spanish STPs and their core features. It also offers empirical evidence to support the existence of different types of STPs, including the differences between them and their typical and standard features. This research will be of interest to policy makers, industry leaders, practitioners, and universities, since it represents an important step in understanding the true nature of STPs, in the context of a real-world situation. Data science researchers and professionals in this field would find the AI-tool-driven data analysis useful for a better understanding of STPs. This insight can improve the management of innovation ecosystems and the orientation of policies and strategies to support global innovation and knowledge ecosystems. The paper is organised as follows: Section 2 presents the objectives; Section 3 describes the resources and techniques used; Section 4 deals with the evaluation and results of the study; Section 5 presents the discussion and validation; and, finally, Section 6 describes the conclusions.