Design and Explanation of the Digital Entrepreneurship Ecosystem Model

Abstract

Objective: This study aims to design and explain the digital entrepreneurship ecosystem model using the grounded theory method. Methodology: In this qualitative study, data collection in this study was conducted through in-depth and semi-structured interviews with key informants, senior managers of online businesses, and academic experts with significant knowledge in the field of entrepreneurial ecosystems. These interviews were conducted iteratively until theoretical saturation was achieved. The analysis in this research was based on Strauss and Corbin's systematic design, including open coding, axial coding, and selective coding. Findings: In total, from the 163 initial codes identified during open coding, 124 codes were classified into 25 main categories and five groups: causal factors, contextual factors, intervening factors, strategies, and outcomes. These were then presented as part of the research model. Conclusion: Therefore, it can be asserted that the development of digital ecosystems and online entrepreneurship in Iran requires collaborative efforts among governmental, private, educational, and technological sectors. Such synergy can address challenges, leverage existing opportunities, and ultimately improve various economic, social, and technological aspects.