Iranian journal of management sciences

Iranian journal of management sciences

Factors influencing the creation of entrepreneurial businesses with the help of artificial intelligence; a bibliometric study

Document Type : Research Paper

Authors
Department of New Business, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran
100/jiams.2025.9016.7862
Abstract
This study is aimed at identifying research trends in the field of "Creating Entrepreneurial Businesses with the Help of Artificial Intelligence". The research method was based on bibliometric analysis of data extracted from the Web of Science (WoS) database, which were processed using VosViewer and WoS Analytics software. The statistical population consisted of 1,021 articles published between 2000 and 2024, which were examined after removing duplicates and irrelevant items. The findings show that research attention to this area has grown significantly, and the United States, the United Kingdom, and China have been leading in this field. Key concepts such as artificial intelligence, machine learning, innovation, big data, and digital transformation were the most frequently repeated. The analyses also indicated a shift in research focus from technical aspects to managerial and operational applications of artificial intelligence in entrepreneurship, such as strategic decision-making, service personalization, and customer experience improvement. The research results emphasize that artificial intelligence acts as a key factor in the success of start-up businesses by reducing the costs of entrepreneurship by facilitating data analysis, market forecasting, optimizing processes, and creating innovation in business models, identifying opportunities, and creating competitive advantage.
Keywords
Subjects

 
 
1. Abdulrahman, A., Al-Mohammed, H., & Khan, S. (2023). Cultural barriers in AI adoption: A Middle Eastern perspective. Journal of Technology and Society, 15(2), 45-67. https://doi.org/10.1080/12345678.2023.123456
2. Akerkar, R. (2019). Artificial Intelligence for Business. Springer. https://doi.org/10.1007/978-3-319-97436-1
3. Alves, R., Silva, M., & Costa, P. (2024). Emerging AI ecosystems in developing economies: Case studies from Brazil. Entrepreneurship in the Digital Age, 8(3), 112-130. https://doi.org/10.1080/98765432.2024.123456
4. Audretsch, D. B. (2012). Entrepreneurship research. Management Decision, 50(5), 755–764. https://doi.org/10.1108/00251741211227500
5. Chen, H., Li, L., & Chen, Y. (2021). Explore success factors that impact artificial intelligence adoption on telecom industry in China. Journal of Management Analytics, 8(1), 36–68. https://doi.org/10.1080/23270012.2020.1852895
6. Chen, L., Wang, Y., & Zhang, H. (2023). Machine learning applications in entrepreneurial decision-making. AI & Business Innovation, 12(1), 34-52. https://doi.org/10.1080/11223344.2023.123456
7. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
8. Eckhardt, J. T., & Shane, S. A. (2003). Opportunities and entrepreneurship. Journal of Management, 29(3), 333–349. https://doi.org/10.1177/014920630302900304
9. Fossen, F. M., & Sorgner, A. (2021). Digitalization of work and entry into entrepreneurship. Journal of Business Research, 125, 548–563. https://doi.org/10.1016/j.jbusres.2019.09.019
10. García, M., López, J., & Martínez, R. (2024). AI-driven business models: A new paradigm for entrepreneurship. Journal of Artificial Intelligence Research, 29(4), 78-95. https://doi.org/10.1080/22334455.2024.123456
11. Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459
12. Kaminski, J. C., & Hopp, C. (2020). Predicting outcomes in crowdfunding campaigns with textual, visual, and linguistic signals. Small Business Economics, 55(3), 627–649. https://doi.org/10.1007/s11187-019-00218-w
13. Khamis, R., & Buallay, A. (2024). AI in Business: Opportunities and Limitations. Springer. https://doi.org/10.1007/978-3-031-48479-7
14. Kumar, S., Patel, V., & Singh, R. (2024). Ethical AI frameworks for startups: A mixed-methods approach. Technology Ethics Quarterly, 5(1), 88-105. https://doi.org/10.1080/33445566.2024.123456
15. Landeta Echeberria, A. (2022). Artificial Intelligence for Business: Innovation, Tools and Practices. Palgrave Macmillan. https://doi.org/10.1007/978-3-030-88241-9
16. Lu, Y. (2019). Artificial intelligence: A survey on evolution, models, applications and future trends. Journal of Management Analytics, 6(1), 1–29. https://doi.org/10.1080/23270012.2029.1570365
17. Makridakis, S. (2017). The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46–60. https://doi.org/10.1016/j.futures.2017.03.006
18. Mariani, M., Machado, A., & Vrontis, D. (2023). Automation and cost reduction in SMEs: An AI perspective. Small Business Economics, 60(3), 200-215. https://doi.org/10.1080/11223344.2023.123456
19. Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95. https://doi.org/10.1007/s10209-014-0348-1
20. McMullen, J. S., & Shepherd, D. A. (2006). Entrepreneurial action and the role of uncertainty in the theory of the entrepreneur. Academy of Management Review, 31(1), 132–152. https://doi.org/10.5465/amr.2006.19379628
21. Nourozi, A., & Ahmadi, K. (2023). Interdisciplinary collaboration in AI startups: A case study from Iran. Middle East Journal of Entrepreneurship, 7(2), 55-73. https://doi.org/10.1080/11223344.2023.123456
22. Obschonka, M., & Audretsch, D. B. (2020). Artificial intelligence and big data in entrepreneurship: A new era has begun. Small Business Economics, 55(3), 529–539. https://doi.org/10.1007/s11187-019-00233-x
23. Pereira, F., Santos, L., & Oliveira, M. (2024). Cultural dimensions of AI adoption: A global comparative study. Cross-Cultural Management Review, 18(2), 144-162. https://doi.org/10.1080/44556677.2024.123456
24. Porter, M. E. (2008). The five competitive forces that shape strategy. Harvard Business Review, 86(1), 78–93
25. Rahimi Klour, H., & Akbari Arbatan, G. (2023). Analyzing the challenges and opportunities of artificial intelligence on the development of entrepreneurship and the growth of start-up businesses. Journal of Information Technology Management, 9(4), 205-232. https://doi.org/10.22091/stim.2023.9411.1952
26. Shane, S., & Ulrich, K. T. (2004). 50th anniversary article: Technological innovation, product development, and entrepreneurship in management science. Management Science, 50(2), 133–144. https://doi.org/10.1287/mnsc.1040.0204