Sajad Amiri, Seyed Amirhossein Garakani, Hossein Zinati Fakhrabad, Ali Akbar Sarmadi Syfi,
Volume 14, Issue 54 (2-2026)
Abstract
Objective: This study aims to identify the prerequisites and components related to technological entrepreneurship in the rural areas of the Khaf territorial system. Given the concentration of technological development in urban areas and the deprivation of rural communities from its benefits, this research investigates strategies for promoting technological entrepreneurship as a tool for reducing migration, strengthening the local economy, and improving the quality of life in rural regions.
Methods: This qualitative study was conducted using the grounded theory approach. Data were collected through semi-structured interviews with 12 experts active in the field of rural entrepreneurship. The data were analyzed through open, axial, and selective coding processes.
Results: The results revealed that the factors influencing technological entrepreneurship fall into three categories: (1) individual factors such as motivation, risk tolerance, and technological skills; (2) environmental factors, including access to digital infrastructure, governmental support, and a culture receptive to technology; and (3) structural factors such as supportive policies and inter-institutional cooperation. Major challenges identified include mono-product economies, lack of specialized training, absence of communication infrastructure, and gender inequality. Proposed strategies include identifying local capacities, developing infrastructure, targeted training, and strengthening community participation.
Conclusions: Technological entrepreneurship can contribute to the sustainable development of rural areas by generating new employment opportunities, enhancing productivity, and preserving cultural identity. Developing a coherent framework that emphasizes local conditions and coordination between governmental and private institutions is essential for the success of this approach. The findings of this study provide practical insights for rural development policymakers and planners to design and implement more effective programs based on the key identified factors.
