Journal of Sustainable Urban & Regional Development Studies (JSURDS)

Abstract Background and Objective: In recent decades, digital transformations and globalization have created novel opportunities for digital startups to expand beyond national borders. In Iran, despite the remarkable growth of the startup ecosystem and a young, talented human resource pool, the internationalization process of these companies faces multifaceted challenges, including economic and political sanctions, financial restrictions, and weak international networks. These barriers threaten the success of startups in global markets and underscore the need for a systematic analysis of influencing factors. The objective of this research is to identify and model key factors affecting the internationalization process of Iranian digital startups, focusing on barriers, opportunities, and interrelationships, to provide a practical conceptual framework for stakeholders such as policymakers, investors, and entrepreneurs.
Methodology: This study employs a mixed-methods qualitative-quantitative approach. In the qualitative phase, semi-structured interviews were conducted with 24 experts from Iran's startup ecosystem (using snowball sampling until saturation), identifying influencing factors and categorizing them into 6 dimensions and 41 components via thematic analysis (using MaxQDA software). In the quantitative phase, inter-dimensional relationships were analyzed using Interpretive Structural Modeling (ISM) and a self-interaction matrix, with model stability assessed through MICMAC analysis.
Results and Findings: The findings reveal six main dimensions: strategic and business model, marketing and customer interaction, cultural and international, infrastructural and legal, human resources and team, and supportive and financial. Marketing and cultural factors rank at the first level (linkage and vital), infrastructural and human at the second (autonomous), and financial at the third (independent). The ISM model emphasizes that successful internationalization requires a focus on cultural adaptation and marketing strategies, while financial and infrastructural supports play a facilitating role. The results urge policymakers to strengthen international networks and cultural empowerment, offering suggestions for future research such as comparative analyses and the role of emerging technologies. This model provides a practical framework to accelerate the internationalization of Iranian startups.

Abstract The Creative cities are those that are able to offer new solutions to their daily problems. A creative city is a place for creativity to grow and develop in the city, for artistic creativity, scientific and technological innovation, the voice of a growing culture. Urban planners play a significant role in this regard. Therefore, the degree of creativity of cities is considered a critical issue for the development of large cities. Progressively moving toward a creative city is very necessary for spurring development, because the cities are those environments in which social, economic and cultural interactions take place. The purpose of the present research is to analyze the characteristics of the creative city using the Interpretive Structural Modeling (ISM) in Kermanshah. It is an applied research in terms of aim and descriptive-analytical in terms of methodology. In the process of preparing and collecting data, first the effective factors on the creative city of Kermanshah have been identified using the views of 30 city managers, professors and experts in universities and research centers through the Delphi method. To analyze the information of eight factors as strong influential factors on the creative city, the case of Kermanshah, Interpretive Structural Modeling (ISM) has been used and then analyzed by Mic Mac software. The results showed that the criteria of efficient transportation system and carbon-free energy system are the most effective and the criteria of strong social structure and safe houses are among the most effective factors and social dimension is the most significant indicator of creative city in Kermanshah. The results of Mick Mac also show that all factors belong to connective variables except green space factor.