Modeling the Growth of Technology Units for Health Technology Incubators Suitable for Low-Income Areas

Background. This research aimed to optimize the technology policy and reduce costs of growth centers at medical sciences universities. Identifying effective factors in expansion units facilitates development advancement innovative entrepreneurs through incubators. Methods. The current qualitative analyzes data collected structured interviews with 31 individuals from centers, administrators located health entrepreneurship experts. In three stages categorization, main sub-categories have been identified. relationships between components were determined using interpretive structural modeling (ISM) technique. Results. Based on results ISM, "modeling for incubators poor areas" we identified 213 codes verbal propositions, 25 8 categories which was classified into levels. first level is technological units; second includes infrastructure planned growth; third indicators external infrastructure, internal acceptance plan, exit plan. Conclusion. study framework variables that influence universities disadvantaged areas. incorporate as an independent variable, indicating effect compensating regional weaknesses.