Analysis of Startup Business Ecosystem Components Using Interpretive Structural Modeling (ISM)"

This study aims to analyze the components of creating a startup business ecosystem using interpretive structural modeling and mix-and-match analysis. The research is qualitative and, based on data collection methods, is documentary. From a methodological perspective, it is descriptive-analytical. The statistical population of this research consists of professional and academic experts in the field of startup businesses. The snowball sampling method was used, and data from 12 academic and professional experts were collected through interviews and questionnaires. In the first step, the dimensions and indicators of the startup business ecosystem creation model were extracted from the theoretical literature and validated through expert interviews. The output of this stage consisted of 12 indicators organized into four main dimensions. In the next step, to establish the relationships and sequence among these dimensions and indicators and to present their structural model, the interpretive structural modeling method and mix-mix analysis were employed. This method, based on expert opinions and analyses, prioritized the factors affecting the creation of the startup business ecosystem. The research results led to the design of an integrated model for creating a startup business ecosystem at four levels. Among the 12 indicators identified as determinants in creating a startup business ecosystem, macroeconomic indicators, market, teamwork culture, and the establishment of supportive and institutional platforms were recognized as the most influential and fundamental indicators.