Artificial Intelligence and Entrepreneurship: Trends, Challenges, and Future Directions

Eggy Herlambang; Carola Basuki; Lorio Purnomo

doi:10.61132/lokawati.v4i6.2800

Authors

Eggy Herlambang Universitas Bina Nusantara
Carola Basuki Universitas Bina Nusantara
Lorio Purnomo Universitas Bina Nusantara

DOI:

https://doi.org/10.61132/lokawati.v4i6.2800

Keywords:

Artificial Intelligence, Bibliometric Analysis, Digital Business Models, Entrepreneurship, Sustainable Entrepreneurship

Abstract

This study presents a comprehensive bibliometric analysis of the intersection between Artificial Intelligence (AI) and entrepreneurship, aiming to map its intellectual structure and global research trends from 2005 to 2025. Utilizing 878 peer-reviewed articles from the Scopus database, the research employs R-Biblioshiny to conduct citation, co-citation, co-author, and bibliographic coupling analyses. The findings reveal an exponential surge in publications, highlighting a strategic shift toward AI-enhanced entrepreneurial education and digital business models, particularly in emerging economies like China and India. Despite this rapid growth, the literature remains fragmented, with critical gaps in ethical AI governance, seamless human-AI integration, and methodological consistency. To address these limitations, this study proposes the integration of the Antecedents, Decisions, and Outcomes (ADO) and Theories, Contexts, and Methods (TCM) frameworks to guide future interdisciplinary research. Ultimately, this paper provides actionable implications for business leaders, policymakers, and educators to harness AI's transformative potential responsibly, fostering innovation, scalability, and sustainable entrepreneurial ecosystems in the modern digital era.

Downloads

Download data is not yet available.

References

Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact. Sustainability 2024, Vol. 16, Page 1790, 16(5), 1790. https://doi.org/10.3390/SU16051790

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 2025 11:1, 11(1), 104-. https://doi.org/10.1186/S43093-025-00533-7

Angelo, V. D. ’, Cavallo, A., Antonio, ·, Petruzzelli, M., Federico Frattini, ·, Petruzzelli, A. M., & Frattini, F. (2026). Artificial intelligence and new venture creation: an entrepreneurial learning perspective. Review of Managerial Science 2026, 1–22. https://doi.org/10.1007/S11846-026-01008-X

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, 19(1), 1–16. https://doi.org/10.4018/IJSWIS.318448

Chalmers, D., MacKenzie, N. G., & Carter, S. (2021). Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution. Entrepreneurship Theory and Practice, 45(5), 1028–1053. https://doi.org/10.1177/1042258720934581

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

Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/s11192-015-1645-z

George, A. S., Hovan George, A. S., & Baskar, T. (2023). Exploring the Potential of Prompt Engineering in India: A Study on the Future of AI-Driven Job Market and the Role of Higher Education. Zenodo. https://doi.org/10.5281/zenodo.10121998

Gerling, C., Meier, P., & Koehler, C. (2022). AI meets Digital: A Critical Review on Artificial Intelligence in Digital Entrepreneurship. https://aisel.aisnet.org/ecis2022_rp/21

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-05-2021-0426

Iansiti, M., & Lakhani, K. R. (2020). Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Harvard Business Review Press.

Ledro, C., Nosella, A., Vinelli, A., Dalla Pozza, I., & Souverain, T. (2025). Artificial intelligence in customer relationship management: A systematic framework for a successful integration. Journal of Business Research, 199, 115531. https://doi.org/10.1016/J.JBUSRES.2025.115531

Lévesque, M., Obschonka, M., & Nambisan, S. (2022). Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence. Entrepreneurship Theory and Practice, 46(4), 803–832. https://doi.org/10.1177/1042258720927369

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(3), 379–396. https://doi.org/10.1002/sres.2855

Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175–194. https://doi.org/10.1177/0312896219877678

Mumi, A., Ngammoh, N., & Suwanpakdee, A. (2025). The nexus of artificial intelligence and entrepreneurship research: Bibliometric analysis. Sustainable Futures, 9, 100688. https://doi.org/10.1016/J.SFTR.2025.100688

Njuru, J., Githui, F., & Oginga, B. (2025). The Role of Artificial Intelligence in Enhancing Strategic Decision-Making in Corporate Management. International Journal of Academic Research in Business and Social Sciences, 15(10), 1038–1050. https://doi.org/10.6007/IJARBSS/V15-I10/26599

Obschonka, M., Grégoire, D. A., Nikolaev, B., Ooms, F., Lévesque, M., Pollack, J. M., & Behrend, T. S. (2024). Artificial Intelligence and Entrepreneurship: A Call for Research to Prospect and Establish the Scholarly AI Frontiers. Entrepreneurship Theory and Practice. https://doi.org/10.1177/10422587241304676

Okafor, C. M., Wedraogo, L., Essandoh, S., Sakyi, J. K., Ibrahim, A. K., & Ogunwale, O. (2025). AI-Driven Decision-Making and Its Impact on Business Performance. Journal of Frontiers in Multidisciplinary Research, 4(2), 286–299. https://doi.org/10.54660/.JFMR.2023.4.2.286-299

Pedro, F., Valverde, P., Rivas, A., & Subosa, M. (2019). Challenges and Opportunities for Sustainable Development Education Sector. United Nations Educational, Scientific and Cultural Organization (UNESCO). https://en.unesco.org/themes/education-policy-

Putri, M. A. C. D. H., & Nurmalasari, M. R. (2024). Artificial Intelligence-Entrepreneurship Future Research and Opportunities for New Business Model. TIERS Information Technology Journal, 5(1), 52–57. https://doi.org/10.38043/tiers.v5i1.5286

Shonubi, O. A. (2025). Innovation challenges of digital transformation: Transitioning legacy to the future. Sustainable Futures, 10, 100971. https://doi.org/10.1016/J.SFTR.2025.100971

Song, J., & Sha, Y. (2026). Artificial Intelligence and Entrepreneurial Decision-Making in Micro-Entrepreneurship: A Systematic Literature Review. Journal of Economic Surveys, 40(4), 1950–1970. https://doi.org/10.1111/JOES.70086;ISSUE:ISSUE:DOI

Uriarte, S., Baier-Fuentes, H., Espinoza-Benavides, J., & Inzunza-Mendoza, W. (2025). Artificial intelligence technologies and entrepreneurship: a hybrid literature review. Review of Managerial Science 2025 20:1, 20(1), 251–299. https://doi.org/10.1007/S11846-025-00839-4

Yadav, U. S., Tripathi, R., Tripathi, M. A., Ghosal, I., Kumar, A., Mandal, M., & Singh, A. (2023). Digital and innovative entrepreneurship in the Indian handicraft sector after the COVID-19 pandemic: challenges and opportunities. Journal of Innovation and Entrepreneurship, 12(1). https://doi.org/10.1186/s13731-023-00337-5

Zou, W., & Xiong, Y. (2023). Does artificial intelligence promote industrial upgrading? Evidence from China. Economic Research-Ekonomska Istraživanja, 36(1), 1666–1687. https://doi.org/10.1080/1331677X.2022.2092168

Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629