Artificial intelligence and entrepreneurship: a systematic review from a contextual approach

Authors

DOI:

https://doi.org/10.47058/joa11.3

Keywords:

Inteligencia Artificial, Emprendimiento, Negocios, Gestión, Tecnología

Abstract

This article examines the contemporary impacts of artificial intelligence on entrepreneurship. It delves into the role of artificial intelligence agents, transforming human-technology interaction and generating inevitable cultural changes. In the field of entrepreneurship, it analyzes how artificial intelligence integrates with the tradition of viewing organizations as information systems, addressing issues such as information processing and bounded rationality. The methodology involves a systematic review of literature present in the Web of Science (WOS) system, highlighting opportunities and threats at the intersection of artificial intelligence and entrepreneurship. The discussion explores theoretical models of the articles included in the review. The conclusion is a synthesis of the main theoretical frameworks from which entrepreneurship is addressed in terms of artificial intelligence. The contribution lies in synthesizing the relevant literature, offering a comprehensive view of artificial intelligence and entrepreneurship.

Downloads

Download data is not yet available.

References

Basu, S., Majumdar, B., Mukherjee, K., Munjal, S. y Palaksha, C. (2023). Artificial intelligence–HRM interactions and outcomes: A systematic review and causal configurational explanation. Human Resource Management Review, 33(1), 100893. https://doi.org/10.1016/j.hrmr.2022.100893

Chalmers, D., MacKenzie, N. G. y Carter, S. (2021). AI and entrepreneurship: implications for venture creation in the fourth industrial revolution. Entrepreneurship Theory and Practice, 45(5), 1028-1053.

Chauhan, C., Parida, V. y Dhir, A. (2022). Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises. Technological Forecasting and Social Change, 177, 121508. https://doi.org/10.1016/j.techfore.2022.121508

Feliciano-Cestero, M. M., Ameen, N., Kotabe, M., Paul, J. y Signoret, M. (2023). Is digital transformation threatened? A systematic literature review of the factors influencing firms’ digital transformation and internationalization. Journal of Business Research, 157, 113546. https://doi.org/10.1016/j.jbusres.2022.113546

Giuggioli, G. y 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

Haefner, N., Parida, V., Gassmann, O. y Wincent, J. (2023). Implementing and scaling artificial intelligence: A review, framework, and research agenda. Technological Forecasting and Social Change, 197, 122878. https://doi.org/10.1016/j.techfore.2023.122878

Haefner, N., Wincent, J., Parida, V. y Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda?. Technological Forecasting and Social Change, 162, 120392. https://doi.org/10.1016/j.techfore.2020.120392

Iandoli, L. (2023). Annual review article: The dual mindset of design-driven entrepreneurship: The case for a pedagogy of making and artefact-centred entrepreneurship education. International Small Business Journal, 41(4), 349-370. https://doi.org/10.1177/02662426231160525

Iftikhar, R., Chiu, Y. T., Khan, M. S. y Caudwell, C. (2023). Human–Agent Team Dynamics: A Review and Future Research Opportunities. IEEE Transactions on Engineering Management, 71, 10139-10154. https://doi.org/10.1109/TEM.2023.3331369

Jatobá, M. N., Ferreira, J. J., Fernandes, P. O. y Teixeira, J. P. (2023). Intelligent human resources for the adoption of artificial intelligence: a systematic literature review. Journal of Organizational Change Management, 36(7), 1099-1124. https://doi.org/10.1108/JOCM-03-2022-0075

Lee, M. C. M., Scheepers, H., Lui, A. K. H. y Ngai, E. W. T. (2023). The Implementation of Artificial Intelligence in Organizations: A Systematic Literature Review. Information y Management, 60(5), 103816. https://doi.org/10.1016/j.im.2023.103816

Li, J.-M., Wu, T.-J., Wu, Y. J. y Goh, M. (2023). Systematic literature review of human–machine collaboration in organizations using bibliometric analysis. Management Decision, 61(10), 2920-2944. https://doi.org/10.1108/MD-09-2022-1183

Madanaguli, A., Sjödin, D., Parida, V. y Mikalef, P. (2024). Artificial intelligence capabilities for circular business models: Research synthesis and future agenda. Technological Forecasting and Social Change, 200, 123189. https://doi.org/10.1016/j.techfore.2023.123189

McCarthy, J. (1958). Programs with common sens. Proceedings of the Symposium on Mechanisation, London.

Obreja, D. M., Rughini?, R. y Rosner, D. (2024). Mapping the conceptual structure of innovation in artificial intelligence research: A bibliometric analysis and systematic literature review. Journal of Innovation & Knowledge, 9(1), 100465. https://doi.org/10.1016/j.jik.2024.100465

Pietronudo, M. C., Croidieu, G. y Schiavone, F. (2022). A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management. Technological Forecasting and Social Change, 182, 121828. https://doi.org/10.1016/j.techfore.2022.121828

Robledo, S., Grisales Aguirre, A. M., Hughes, M. y Eggers, F. (2023). “Hasta la vista, baby”–will machine learning terminate human literature reviews in entrepreneurship?. Journal of Small Business Management, 61(3), 1314-1343. https://doi.org/10.1080/00472778.2021.1955125

Rubín, C. (2024). La IA en la administración de negocios actual. Cuadernos Del CIMBAGE, 1(26), 61-76.

Simon, H. A. (1996). The Sciences of the Artificial (3rd ed). MIT Press Cambridge.

Van Iddekinge, C. H., Lievens, F. y Sackett, P. R. (2023). Personnel selection: A review of ways to maximize validity, diversity, and the applicant experience. Personnel psychology, 76(2), 651-686. https://doi.org/10.1111/peps.12578

Weisz, E., Herold, D. M. y Kummer, S. (2023). Revisiting the bullwhip effect: how can AI smoothen the bullwhip phenomenon? The International Journal of Logistics Management, 34(7), 98-120. https://doi.org/10.1108/IJLM-02-2022-0078

Zaoui, A., Tchuente, D., Wamba, S. F. y Kamsu-Foguem, B. (2024). Impact of artificial intelligence on aeronautics: An industry-wide review. Journal of Engineering and Technology Management, 71, 101800. https://doi.org/10.1016/j.jengtecman.2024.101800

Zhu, H., Vigren, O. y Söderberg, I. L. (2024). Implementing artificial intelligence empowered financial advisory services: A literature review and critical research agenda. Journal of Business Research, 174, 114494. https://doi.org/10.1016/j.jbusres.2023.114494

Published

2024-10-11

Issue

Section

Research Articles

How to Cite

Artificial intelligence and entrepreneurship: a systematic review from a contextual approach. (2024). Journal of the Academy, 11, 33-52. https://doi.org/10.47058/joa11.3

Most read articles by the same author(s)