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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63319

Leveraging AI for Strategic Advantage in Entrepreneurial Development

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63319

Volume:

10 |

5 |

May 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63319

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Dr. Minakshi Kapoor

Dr. Minakshi Kapoor

BBA

Cluster University of Jammu

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DBS

Dr. Bharti Slathia

BBA

Govt. MAM College Jammu

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Abstract

This research paper explores the symbiotic relationship between entrepreneurship and artificial intelligence. It investigates the impact of AI- driven strategies on entrepreneurial development, focusing on enhancing innovation, improving decision making and driving business growth. While extensive research highlights AI’s operational advantages, its impact on entrepreneurial development remains insufficiently explored. Through literature reviews and case studies, this paper provides insights into strategies employed by AI-driven startups and their success factors. It also explores the wider impact of AI-driven entrepreneurship on the economy, employment, and industries. This research is a valuable resource for entrepreneurs, policymakers, and academics navigating the AI-infused entrepreneurial landscape. The study contributes to businesses and policymakers aiming to leverage AI for both operational efficiency and creative innovation, providing a framework that connects AI implementation to successful entrepreneurial performance.

KEYWORDS

Keywords - Entrepreneurship Artificial Intelligence Startups Innovation Decision-making Entrepreneurial development

Cite This Article

Dr. Minakshi Kapoor, Dr. Bharti Slathia, "Leveraging AI for Strategic Advantage in Entrepreneurial Development," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-8, May 2026. https://doi.org/10.55041/IJSREM63319

Full Article/Conclusion

The study concludes that artificial intelligence (AI) significantly and positively affects entrepreneurial creativity and performance and have a significant and negative effect on human creativity. The corporate sector may become dependent on quicker, less expensive, and more accurate marketing strategies as a result of the use of AI. By utilizing AI in marketing strategies, an entrepreneur may increase audience reaction and establish a strong competitive advantage over other online firms. In addition to marketing, it may revitalize businesses through creative ideas. Additionally, it provides solutions for challenging jobs, which aids in the rapid expansion of businesses. As a result, we will talk about the development of the business sector, how entrepreneurs use AI topology, and how it plays a variety of roles in the business.The study also demonstrated how AI stimulates consumer demand and advances technical innovation, which benefits entrepreneurship. Furthermore, the service sector and areas experiencing net population influx are where AI has a greater entrepreneurial impact. These results provide light on how artificial intelligence affects entrepreneurial creativity for the development of entrepreneurs and also highlight the need for more robust top-level AI design and implementation within the entrepreneurial ecosystem. AI is no longer a distant frontier, but a present force reshaping how businesses operate and grow. For entrepreneurs, MSMEs, and start-ups in developing countries, AI holds significant potential to not just catch up, but to leap ahead. It can enhance productivity, broaden access to finance and markets, and enable the creation of new business models. At the same time, realizing these opportunities requires a thoughtful and measured approach. National strategies and policies that are adaptive and context specific play an important part, as they can create the conditions for a meaningful AI that aligns with national priorities, supports innovation and addresses risks in a balanced way.

References

Al-Mamary, Y. H. (2025). The transformative power of artificial intelligence in entrepreneurship: exploring AI’s capabilities for the success of entrepreneurial ventures. Future Business Journal, 11(1), 104. Ashton, K. (2009), “That ‘Internet of things’ thing”, RFID Journal, 22(7), 97-114 Ayinaddis, S. G. (2025). Artificial intelligence adoption dynamics and knowledge in SMEs and large firms: A systematic review and bibliometric analysis. Journal of Innovation & Knowledge, 10(3), 100682. Blanco-González-Tejero, C., Ribeiro-Navarrete, B., Cano-Marin, E., & McDowell, W. C. (2023). A systematic literature review on the role of artificial intelligence in entrepreneurial activity. International Journal on Semantic Web and Information Systems (IJSWIS), 19(1), 1-16. Chukwuka, E. J., & Igweh, F. K. (2024). Strategic Impact of Artificial Intelligence (AI) on Entrepreneurial Creativity and Management. International Journal of Business & Entrepreneurship Research. 14 (11), 33-46. French, A.M., Shim, J.P., Risius, M. and Jain, H.K. (2021), “The 4th Industrial Revolution powered by the integration of 5G, AI, and blockchain”, Communications of the Association for Information Systems, Vol. 49 No. 6. 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. Kergroach, S., & Héritier, J. (2025). Emerging divides in the transition to artificial intelligence. OECD Regional Development Papers. Levesque, M., Obschonka, M. and Nambisan, S. (2020), “Pursuing impactful entrepreneurship research using AI”, Entrepreneurship Theory and Practice. Li, X., Long, Y., Fan, M., & Chen, Y. (2022). Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective. Systems Research and Behavioral Science, 39, 379–396. MARIUS, M., & LUCIAN, S. (2025).  Leveraging ai to optimize business growth and entrepreneurship. Annals of the “Constantin Brâncuşi” University of Târgu Jiu, Economy Series, 6, 225-233. Michael, C; Lareina, Y; Bryce, H; Alex, S; & Alexander, S. (2023). The state of AI in 2023: generative AI's breakout year. NASWA Workforce Technology Mitrache, M. D., Spulbar, L. F., & Mitrache, L. A. (2024). The Influence of AI Technology in OECD (2025). Recommendation of the Council on Artificial Intelligence (OECD Legal Instrument OECD/LEGAL/0449)

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Publication Date

5/16/2026

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