Network Business Incubators and Their Regional Entrepreneurial Innovation Ecosystems with DIHs: Towards an Intelligent GIS and Clustering Model

The concept of Networked University Business Incubators(UBI) combines the benefits of several UBIs integrated into a centralized and yet distributed operative modes of Business Incubation. UBIs are generally embedded in their entrepreneurial ecosystems(EE) and Regional Innovation systems playing the roles of knowledge generator and diffusor within the ecosystem. However, Networked UBIs which could be two or more UBIs within the same or outside the Regional Innovation System(RIS), National Innovation System or Supra Innovation System leverages on the combined benefits and competencies of the UBIs involved. These Networked UBI forming alliances and partnerships and collaboration bringing their different regional components, competencies, similarities and characteristics into play. This study as part of a doctoral research investigates cases of Networked UBIs in different RIS modes by firstly developing a pre-conceptual framework via thematic analysis based on selected cases of Networked UBIs in different RIS modes. Secondly an algorithm is developed that encapsulates RISs, EEs for Networked UBIs network formation (e.g. Dyad or Triad) with the respective UBIs’ capabilities and service management provisions(VSMPs). Thereafter based on the research questions which examines the capabilities, structures, Networked UBIs dynamic ecosystem changes and transformation overtime with their RIS. The findings from the two stages are then compared and a network and DL, ML algorithm model is applied to the ensuing characteristics of the Networked UBIs with their EE and RIS. In the final stages an Intelligent GIS spatial tool with Machine learning and deep learning will be used to simulate the enveloped characteristics of the Networked UBI and the embedded EE and RIS from the earlier stages. The study will aid the understanding of the formation of Networked UBIs and how regional stakeholders can simulate the planning and development Networked UBIs in different RIS modes. Finally, the results show that the following properties and characteristics of the RIS, EE and UBIs could be combined together to determine the success of the Networked UBI formation.