Exploring the Drivers of Artificial Intelligence’s Impact on the Development of Technological Entrepreneurship (Case Study: Rural Areas of Shemiranat County)

Document Type : Original Article

Authors

Aliakbar Anabestani ^¶

Behnaz Rahimi

Shahid Beheshti University, Tehran, Iran.

10.22067/jrrp.v15i2.2606-1167

Abstract

Purpose- Technological advancements, particularly Artificial Intelligence (AI), are transforming modern business models and fostering technological entrepreneurship. While AI offers significant potential for sustainable development in rural areas through increased productivity and innovation, these regions often benefit less due to weak digital infrastructure and institutional constraints. This study aims to identify and analyze the key drivers of AI's impact on the development of technological entrepreneurship in the rural areas of Shemiranat County.
Design/methodology/approach- This applied research employs a descriptive-analytical approach and a mixed-methods (qualitative-quantitative) design. Data collection involved documentary studies and fieldwork. In the qualitative phase, data were gathered through semi-structured interviews with 18 experts selected via purposive sampling. Data were analyzed using qualitative content analysis with open, axial, and selective coding. In the quantitative phase, the causal relationships among the identified drivers were analyzed using Interpretive Structural Modeling (ISM) and MICMAC software. The research was conducted in the rural areas of Shemiranat County in 2025.
Finding- The analysis identified 18 key drivers, categorized into five groups: technological, economic, social, policy-related, and environmental. Results indicate that AI can effectively contribute to rural socio-economic sustainability by enhancing productivity, creating innovative employment opportunities, and strengthening environmental resilience. Key challenges include a gap between physical access to technology and commercial utilization, low digital literacy, and a lack of supportive legal frameworks tailored for rural micro-businesses.
Practical Implications- To leverage AI for rural technological entrepreneurship, policymakers should prioritize: 1) expanding high-speed internet and digital infrastructure; 2) establishing rural-focused innovation centers and accelerators; 3) developing supportive policies including low-interest loans and tax exemptions for AI-based ventures; and 4) implementing targeted training programs to enhance digital literacy and practical AI skills among local communities. These actions will help bridge the existing digital divide and translate infrastructure into productive economic outcomes.
Originality/value– This research is novel in its comprehensive and systemic analysis of drivers for AI-based technological entrepreneurship in Iranian rural areas. By employing a mixed-method approach combined with ISM and MICMAC structural analysis, it moves beyond simple descriptive studies to identify causal and hierarchical relationships among the drivers. The study provides a contextualized framework for policymakers, highlighting the foundational role of government support and digital infrastructure in fostering a dynamic and inclusive entrepreneurial ecosystem in rural regions.

Keywords

Artificial Intelligence

Technological Entrepreneurship

Key Drivers

Rural Development

Structural Analysis

Shemiranat County

Subjects

• Rural Studies

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References

1. Ahmadi, S. A., Darei, M. R., Salamzadeh, A., & Jafari, M. R. (2013). Artificial intelligence and business opportunities: Identifying the functions of AI in creating competitive advantages for tech-based businesses (Case study: Video game industry). Journal of Entrepreneurship Development, 6(2), 7–26. https://doi.org/10.22059/jed.2013.36257[In Persian]
2. Anabestani, A. A., & Toulabinejad, M. (2023). Competitive Advantages of Indigenous Rural Entrepreneurship in Iran (Case Study: South of Lorestan Province). Spatial Planning, 13(3), 1-28. https://doi.org/10.22108/sppl.2023.135985.1684[In Persian]
3. Anabestani, A., Bahadori Amjaz, F. L. & Tavakolinia, J. (2022). Analyzing the Key Drivers of the Effect of Smart Growth Approach on Sustainable Development of Iranian Rural Settlements. Journal of Research and Rural Planning, 11(3), 91-113. https://doi.org/10.22067/jrrp.v11i3.2208.1059
4. Anabestani, A., Tavakolinia, J., & Niknami, N. (2024). The Role of Artificial Intelligence in Improving Citizens’ Quality of Life with a Future Study Approach (Case Study: Mashhad Metropolis). Urban Economics and Planning, 5(1), 6-21. https://doi.org/10.22034/uep.2024.442663.1461[In Persian]
5. Basaki, B., & Duffy, T. (2021). The role of AI in enhancing entrepreneurial ecosystems. Journal of Sustainable Tourism, 34(2), 342–542. https://doi.org/10.1080/09669582.2021.1874399
6. Boateng, S. L., Penu, O. K. A., Budu, J., et al. (2024). Mapping the Research on Artificial Intelligence and Entrepreneurship: A Bibliometric Review from Scopus Database. International Journal of E-Entrepreneurship and Innovation (IJEEI). DOI: 10.4018/IJEEI.343790
7. Cavallo, A., Ghezzi, A., Dell'Era, C., & Pellizzoni, E. (2019). Fostering digital entrepreneurship from startup to scaleup: The role of venture capital funds and angel groups. Technological Forecasting and Social Change, 145, 24–35. https://doi.org/10.1016/j.techfore.2019.04.022
8. Chatterjee, S., Chaudhuri, R., Vrontis, D., & Basile, G. (2021). Digital transformation and entrepreneurship process in SMEs of India: A moderating role of adoption of AI-CRM capability and strategic planning. Journal of Strategy and Management. https://doi.org/10.1108/JSMA-08-2020-0221
9. Darban Astaneh, M. R., Shayan, H., Anabestani, A. A., & Sajasi Gheydari, H. (2022). Analyzing the impact of structural innovation factors on rural entrepreneurship process (Case study: Farooj County). Geographical Studies of Arid Regions, 12(45), 58–77. https://jargs.hsu.ac.ir/article_161549.html [In Persian]
10. Fitriana, R., Eriyatno, T. D., & Djatna, T. (2011). Progress in Business Intelligence System research: A literature review. International Journal of Basic & Applied Sciences (IJBAS-IJENS), 11(3), 118-124.
11. Fossen, F. M., McLemore, T., & Sorgner, A. (2024). Artificial intelligence and entrepreneurship. Foundations and Trends® in Entrepreneurship, 20(8), 781-904. https://docs.iza.org/dp17055.pdf
12. Giuggioli, G., & Pellegrini, M. M. (2023). Artificial intelligence as an enabler for entrepreneurs: A systematic literature review and an agenda for future research. International Journal of Entrepreneurial Behavior & Research, 29(4), 816–837. https://doi.org/10.1108/IJEBR-03-2022-0222
13. Hajarian, A. , Taghdisi, A. and Barghi, H. (2021). Presenting a Paradigm Model of Home Business Development in Rural Areas of Counties in Isfahan Province Based on Grounded Theory. Journal of Research and Rural Planning, 10(4), 43-58. https://doi.org/10.22067/JRRP.V10I4.2102.1004
14. Khosravani, R., Vosoughi, M., Baghaei Sarabi, A., & Mousaei, M. (2024). The impact of entrepreneurial and innovative personality in economic activities on improving rural quality of life (Case study: Villages of Nazarabad County). Social Welfare Quarterly, 24(93), 301–338. https://doi.org/10.32598/refahj.24.93.4156.1[In Persian]
15. Khosravipour, B., & Seyedmoradi, A. (2020). The role of information technology in the development and improvement of rural businesses. In 1st International Conference on New Challenges and Solutions in Industrial Engineering, Management and Accounting, Sari. https://civilica.com/doc/1045598[In Persian]
16. Li, H., & Wang, H. (2020). Research on the application of artificial intelligence in education. In 2020 15th International Conference on Computer Science & Education (ICCSE)(pp. 589–591). https://doi.org/10.1109/ICCSE49874.2020.9201743
17. Mhlanga, D. (2021). Artificial intelligence in Industry 4.0, and its impact on poverty, innovation, infrastructure development, and the sustainable development goals: Lessons from emerging economies? Sustainability, 13(11), 5788. https://doi.org/10.3390/su13115788
18. Mohammadi, R., Mousavifard, S. R., Rezaei, B., & Hoseinpour, M. (2024). The impact of artificial intelligence technology on entrepreneurship development with the mediating role of entrepreneurship education. New Approaches in Management and Marketing, 3(1), 86–105. https://doi.org/10.22034/jnamm.2024.454730.1052[In Persian]
19. Mohammadian, A. (2021). Investigating the impact of digital (smart) businesses on job creation and wealth generation in deprived rural areas. In 4th National and 1st International Conference on New Models of Management and Business, Tehran. https://civilica.com/doc/1394291[In Persian]
20. Mohebbi, H., & Tarfi, S. (2025). Foresight of AI development in Iran using scenario planning approach. Studies in Smart Business Management, 14(53), 159–204. https://doi.org/10.22054/ims.2025.84715.2597[In Persian]
21. Mokhtari Karchgani, A., Tavakoli, M., & Pourtaheri, M. (2024). A new paradigm of endogenous rural development: A thematic analysis. Journal of Rural Research, 15(2), 208–225. https://doi.org/10.22059/jrur.2024.367453.1880[In Persian]
22. Moradzadeh, M. (2022). Investigating the role of artificial intelligence in entrepreneurship and entrepreneurial activities. In 2nd International Conference on Science, Engineering, and the Role of Technology in New Businesses. https://civilica.com/doc/1512064 [In Persian]
23. Moumenihelali, H., Abbasi, E. & Kroesen, O. (2022). A Regional Analysis of the Entrepreneurship Ecosystem in Rural Areas of Northern Iran (Case Study: Watershed of the Haraz Plain). Journal of Research and Rural Planning, 11(2), 61-79. https://doi.org/10.22067/jrrp.v11i2.2112-1035
24. Mousazadeh, N., Khoshnavaaz, Z., Pashaee, P., & Shateri, M. (2021). The role of information and communication technology in sustainable development of rural settlements (Case study: Villages of Beshiva Patagh, Kermanshah Province). Journal of Economic Geography Research, 2(5), 65–82. https://dor.isc.ac/dor/20.1001.1.27173747.1400.3.2.5.6[In Persian]
25. Obschonka, M., Gregoire, D. A., Nikolaev, B., Ooms, F., Lévesque, M., Pollack, J. M., & Behrend, T. S. (2025). Artificial intelligence and entrepreneurship: a call for research to prospect and establish the scholarly AI frontiers. Entrepreneurship Theory and Practice, 49(3), 620-641. https://doi.org/10.1177/10422587241304676
26. Rahimi Kaloor, H., & Akbari Arbatān, G. (2023). Exploring the challenges and opportunities of artificial intelligence for entrepreneurship development and startup growth. Information Management Sciences and Technologies, 9(4), 205–232. https://doi.org/10.22091/stim.2023.9411.1952[In Persian]
27. Rastegari, H., Mohammadi Tamari, Z., & Sharifzadeh, M. (2018). Identifying and prioritizing rural entrepreneurship skills: Application of artificial neural network technique. Rural Development Strategies, 5(4), 547–565. https://doi.org/10.22048/rdsj.2019.117563.1707[In Persian]
28. Rezaei, R., Tohidlou, Sh., & Arabion, A. (2013). Investigating barriers to the development of nanotechnology-based entrepreneurship. Journal of Entrepreneurship Development, 6(1), 105–124. https://doi.org/10.22059/jed.2013.36252[In Persian]
29. Sadeghi Ordoubadi,B. , Mohammadkazemi,R. and Hosseininia,G. (2023). Designing a conceptual model for the development of digital business ecosystem based on scientometric studies. Iranian journal of management sciences, 17(68), 133-155. https://journal.iams.ir/article_392.html?lang=en [In Persian]
30. Stahl, B. C. (2022). Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence. International Journal of Information Management, 62, 102441. https://doi.org/10.1016/j.ijinfomgt.2021.102441
31. Vaghar-Mousavi, M., Ghods Alavi, A., & Abbasi, M. (2016). Investigating the role of social entrepreneurship in the development of social justice. Entrepreneurship and Sustainable Agricultural Development Studies, 3(2), 21-38. https://doi.org/10.22069/jead.2016.3076 [In Persian]
32. Vlachová, M., & Binder, A. (2024). Driving change in the energy sector: Evaluating entrepreneurial opportunities provided by artificial intelligence. Journal of Cleaner Production, 431, 139590. https://doi.org/10.1016/j.jclepro.2023.139590