The links between entrepreneurial opportunity and artificial intelligence based on a systematic literature review
DOI:
https://doi.org/10.14267/VEZTUD.2025.02.03Keywords:
entrepreneurial opportunity, Artificial Intelligence, entrepreneurship, business development, innovation, systematic literature reviewAbstract
Developing, exploring, creating, and utilizing entrepreneurial opportunity is the basis for innovation and competitiveness, a key factor in sustainable economic development. Artificial intelligence may contribute to identifying, analyzing, and implementing entrepreneurial opportunities and opening areas for the development of businesses. This paper aims to analyze the role of artificial intelligence in the context of entrepreneurial opportunities in an interdisciplinary approach. The research involved applying a systematic literature review of publications on the topic in the Scopus database. The study shows that artificial intelligence may contribute in complex ways to the faster and more accurate identification and exploitation of entrepreneurial opportunities, even under uncertain market conditions, which facilitates business development. Artificial intelligence may increase business efficiency by supporting business processes and decision-making and facilitating the identification of entrepreneurial opportunities. At the same time, artificial intelligence as a business model integrated into entrepreneurial activity contributes to competitiveness and product and service innovation.
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Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542. https://doi.org/10.1257/aer.20160696
Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30. https://doi.org/10.1257/jep.33.2.3
Acs, Z.J., Audretsch, D.B., & Feldman, M.P. (1994). R&D spillovers and innovative activity. Managerial and Decision Economics, 15(2), 131–138. https://doi.org/10.1002/mde.4090150205
Acs, Z.J., Braunerhjelm, P., Audretsch, D.B., & Carlsson, B. (2009). The knowledge spillover theory of entrepreneurship. Small Business Economics, 32(1), 15–30. https://doi.org/10.1007/s11187-008-9157-3
Ahn, E., & Kang, H. (2018). Introduction to systematic review and meta-analysis. Korean Journal of Anesthesiology, 71(2), 103–112. https://doi.org/10.4097/kjae.2018.71.2.103
Alvarez, S.A., & Barney, J.B. (2007). Discovery and creation: Alternative theories of entrepreneurial action. Strategic Entrepreneurship Journal, 1(1‐2), 11–26. https://doi.org/10.2139/ssrn.900200
Antoncic, B., & Hisrich, R.D. (2003). Clarifying the intrapreneurship concept. Journal of Small Business and Enterprise Development, 10(1), 7–24. https://doi.org/10.1108/14626000310461187
Bánhidi, Z., Dobos, I., & Nemeslaki, A. (2023). Vállalati digitális fejlettséget jellemző (desi-típusú) mutató megalkotása egy KKV digitális felkészültséget mérő kérdőív alapján. Vezetéstudomány, 54(9), 4–15. https://doi.org/10.14267/VEZTUD.2023.09.01
Baranyi, A., Bélyácz, I., Csernák, J., & Széles, Z. (2023). A nagy- és középvállalatok energiastratégiájának változása piaci kényszerhelyzetben. Statisztikai Szemle, 101(12). https://doi.org/10.20311/stat2023.11.hu1101
Battisti, S., Agarwal, N., & Brem, A. (2022). Creating new tech entrepreneurs with digital platforms: Meta-organizations for shared value in data-driven retail ecosystems. Technological Forecasting and Social Change, 175. https://doi.org/10.1016/j.techfore.2021.121392
Brown, T.E. (2017). Sensor-based entrepreneurship: A framework for developing new products and services. Business Horizons, 60(6), 819–830. https://doi.org/10.1016/j.bushor.2017.07.008
Casson, M. (1982). The Entrepreneur: An Economic Theory. Martin Robertson.
Chaklader, B., Gupta, B.B., & Panigrahi, P.K. (2023). Analyzing the progress of FINTECH-companies and their integration with new technologies for innovation and entrepreneurship. Journal of Business Research, 161, art. no. 113847. https://doi.org/10.1016/j.jbusres.2023.113847
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
Csath, M. (2022). Növekedési vagy fejlődési csapda. Hitelintézeti Szemle, 21(2), 152–174. https://doi.org/10.25201/HSZ.21.2.152
Dabbous, A., & Boustani, N.M. (2023). Digital explosion and entrepreneurship education: impact on promoting entrepreneurial intention for business students. Journal of Risk and Financial Management, 16(1), art. no. 27. https://doi.org/10.3390/jrfm16010027
Danyi, P., Iványi, T., & Veres, I. (2020). A turizmus jelene és várható változása a mesterséges intelligencia integrálásával, különösen a Z-generáció igényeire fókuszálva. Vezetéstudomány, 51(KSZ), 19–34. https://doi.org/10.14267/VEZTUD.2020.KSZ.03
Detschew, S. (2008). Impact of ICT in the developing countries on the economic growth. Grin Verlag.
Dóra, T.B., Mátó, Á.R., Szalkai, Z., & Vilmányi, M. (2023). The role of information in relation to interaction affected by technology change–the case of a telemedicine pilot project. Journal of Business & Industrial Marketing, 38(8), 1639–1655. https://doi.org/10.1108/JBIM-02-2022-0065
Eckhardt, J.T., & Shane, S.A. (2003). Opportunities and entrepreneurship. Journal of Management, 29(3), 333– 349. https://doi.org/10.1016/S0149-2063(02)00225-8
Elia, G., Margherita, A., & Passiante, G. (2020). Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process. Technological Forecasting and Social Change, 150, 119791. https://doi.org/10.1016/j.techfore.2019.119791
Ferràs, X., Hitchen, E.L., Tarrats-Pons, E., & Arimany- Serrat, N. (2020). Smart tourism empowered by artificial intelligence: The case of Lanzarote. Journal of Cases on Information Technology, 22(1), 1–13. https://doi.org/10.4018/JCIT.2020010101
Filieri, R., D’Amico, E., Destefanis, A., Paolucci, E., & Raguseo, E. (2021). Artificial intelligence (AI) for tourism: An European-based study on successful AI tourism start-ups. International Journal of Contemporary Hospitality Management, 33(11), 4099–4125. https://doi.org/10.1108/IJCHM-02-2021-0220
Finfgeld-Connett, D. (2014). Use of content analysis to conduct knowledge-building and theory-generating qualitative systematic reviews. Qualitative Research, 14(3), 341–352. https://doi.org/10.1177/1468794113481790
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
Garbuio, M., & Lin, N. (2019). Artificial intelligence as a growth engine for health care startups: Emerging business models. California Management Review, 61(2), 59–83. https://doi.org/10.1177/0008125618811931
García-Peñalvo, F.J. (2022). Developing robust state-ofthe- art reports: Systematic Literature Reviews. Education in the Knowledge Society, 23, E28600. https://doi.org/10.14201/eks.28600
Ge, B., Wang, Q., & Yao, M. (2022). From ideas to entrepreneurial opportunity: A study on AI. Systems Research and Behavioral Science, 39(3), 618–632. https://doi.org/10.1002/sres.2874
Ge, B., & Zhao, L. (2022). The impact of the integration of opportunity and resources of new ventures on entrepreneurial performance: The moderating role of BDAC-AI. Systems Research and Behavioral Science, 39(3), 440–461. https://doi.org/10.1002/sres.2850
George, G., Merrill, R.K., & Schillebeeckx, S.J.D. (2021). Digital Sustainability and Entrepreneurship: How Digital Innovations Are Helping Tackle Climate Change and Sustainable Development. Entrepreneurship: Theory and Practice, 45(5), 999–1027. https://doi.org/10.1177/1042258719899425
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020). Generative adversarial networks. Communications of the ACM, 63(11), 139-144. https://doi.org/10.1145/3422622
Gupta, B.B., Gaurav, A., Panigrahi, P.K., & Arya, V. (2023). Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship. Technological Forecasting and Social Change, 186, art. no. 122152. https://doi.org.10.1016/j.techfore.2022.122152
Hagendorff, T., & Wezel, K. (2020). 15 challenges for AI: or what AI (currently) can’t do. AI and Society, 35(2), 355–365. https://doi.org/10.1007/s00146-019-00886-y
Havas, A., Jánoskuti, L., Matécsa, M., & Vecsernyés, T. (2023). Startup-ökoszisztéma: Javaslatok a magyarországi startup környezet fejlesztésére. Hitelintézeti Szemle, 22(3), 5–25. https://doi.org/10.25201/HSZ.22.3.5
Huang, M.H., & Rust, R.T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30–50. https://doi.org/10.1007/s11747-020-00749-9
Huang, M.H. & Rust, R.T. (2022). A Framework for Collaborative Artificial Intelligence in Marketing. Journal of Retailing. 98(2), 209–223. https://doi.org/10.1016/j.jretai.2021.03.001
Ivashchenko, T., Chornodid, I., & Ivashchenko, A. (2020). The business assistant service as one of the promising areas for the adoption of ai technologies in the enterprise. Business: Theory and Practice, 21(2), 588–597. https://doi.org/10.3846/btp.2020.12548
Jabeur, S.B., Ballouk, H., Mefteh-Wali, S., & Omri, A. (2022). Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models. Technological Forecasting and Social Change, 175, 121353. https://doi.org/10.1016/j.techfore.2021.121353
Kamlani, A. (2022). How hybrid Al improves edge computing, user experience. Control Engineering, 69(9), 31–32.
Kanalregister [Norvég lista] (2024). Register over vitenskapelige publiseringskanaler. (2024, november 3). Norwegian Register for Scientific Journals, Series and Publishers. https://kanalregister.hkdir.no/publiseringskanaler/KanalTreffliste.action?xs=&tv=true
Kapás, J. (2000). A vállalkozás közgazdasági elméletei: Vállalatelméleti megközelítés. Vezetéstudomány, 31(12), 2–15. https://unipub.lib.uni-corvinus.hu/4935/1/VT_2000n12p2.pdf
Kelemen-Erdős, A., & Beke, É. (2023). Műszaki végzettségű pályakezdők transzverzális kompetenciái a digitalizáció korában. Iskolakultúra, 33(8), 52–66. https://doi.org/10.14232/iskkult.2023.8.52
Khan, K.S., Bueno Cavanillas, A., & Zamora, J. (2022). Systematic reviews in five steps: I. Framing questions to obtain valid answers. Semergen, 48(5), 356–361. https://doi.org/10.1016/j.semerg.2021.12.005
Kirzner, I.M. (1997). Entrepreneurial discovery and the competitive market process: An Austrian approach. Journal of Economic Literature, 35(1), 60–85.
Kirzner, I.M. (1999). Creativity and/or alertness: A reconsideration of the schumpeterian entrepreneur. Review of Austrian Economics, 11(1–2), 5–17. https://doi.org/10.1023/a:1007719905868
Kirzner, I.M. (2009). The alert and creative entrepreneur: A clarification. Small Business Economics, 32(2), 145–152. https://doi.org/10.1007/s11187-008-9153-7
Knight, F.H. (1921). Risk, uncertainty and profit. The Riverside Press. https://discoversocialsciences.com/wp-content/uploads/2018/03/knight-uncertainty-and-profit.pdf, letöltve: 2024. május 5.
Ko, A., Fehér, P., Kovacs, T., Mitev, A., & Szabó, Z. (2022). Influencing factors of digital transformation: Management or IT is the driving force? International Journal of Innovation Science, 14(1), 1–20. https://doi.org/10.1108/IJIS-01-2021-0007
Lammers, T., Rashid, L., Kratzer, J., & Voinov, A. (2022). An analysis of the sustainability goals of digital technology start-ups in Berlin. Technological Forecasting and Social Change, 185, 122096. https://doi.org/10.1016/j.techfore.2022.122096
Li, B. (2021). Dynamic Evaluation and System Coordination Degree of the Integration of Artificial Intelligence and Real Economy. Complexity. https://doi.org/10.1155/2021/5539793
Li, B.H., Hou, B.C., Yu, W.T., Lu, X.B., & Yang, C.W. (2017). Applications of artificial intelligence in intelligent manufacturing: A review. Frontiers of Information Technology and Electronic Engineering, 18(1), 86–96. https://doi.org/10.1631/FITEE.1601885
Lu, Y., & Zhou, Y. (2021). A review on the economics of artificial intelligence. Journal of Economic Surveys, 35(4), 1045–1072. https://doi.org/10.1111/joes.12422
Maclure, J., & Russell, S. (2021). AI for Humanity: The Global Challenges. In Braunschweig, B., & Ghallab, M. (Eds.), Reflections on Artificial Intelligence for Humanity. Lecture Notes in Computer Science, vol 12600 (pp. 116-126). Springer. https://doi.org/10.1007/978-3-030-69128-8_8
Mason, C., & Brown, R. (2014). Entrepreneurial ecosystems and growth oriented entrepreneurship. Final report to OECD, 30(1), 77–102.
Mayring, P. (2004). Qualitative content analysis. In U. Flick, E. von Kardoff, & I. Steinke (Eds.), A Companion to Qualitative Research (pp. 159-176). SAGE Publications Ltd.
Nundy, S., Kakar, A., & Bhutta, Z. (2021). Systematic, Scoping and Narrative Reviews. In How to Practice Academic Medicine and Publish from Developing Countries? A Practical Guide (pp. 277–281). Springer Nature. https://doi.org/10.1007/978-981-16-5248-6_29
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/s11187-019-00202-4
Olsson, T.M., Sundell, K., & Leander, L. (2022). The devil is in the details: Unpackaging the systematic in systematic reviews: Short reply to reconsidering the effectiveness of mentoring for prevention of juvenile criminal recidivism. Journal of Consulting and Clinical Psychology, 90(8), 652–654. https://doi.org/10.1037/ccp0000748
Page, M.J., & Moher, D. (2017). Evaluations of the uptake and impact of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) Statement and extensions: A scoping review. Systematic Reviews, 6(1). https://doi.org/10.1186/s13643-017-0663-8
Page, M.J., Moher, D., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., Shamseer, L., Tetzlaff, J.M., Akl, E.A., Brennan, S.E., Chou, R., Glanville, J., Grimshaw, J.M., Hróbjartsson, A., Lalu, M.M., Li, T., Loder, E.W., Mayo-Wilson, E., Mcdonald, S., … Mckenzie, J.E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372. https://doi.org/10.1136/bmj.n160
Polas, M.R.H., & Raju, V. (2021). Technology and Entrepreneurial Marketing Decisions During COVID-19. Global Journal of Flexible Systems Management, 22(2), 95–112. https://doi.org/10.1007/s40171-021-00262-0
Prashar, A. (2020). A bibliometric and content analysis of sustainable development in small and medium-sized enterprises. Journal of Cleaner Production, 245, 118665.
Prieto-Gutierrez, J.J., Segado-Boj, F., & França, F.D.S. (2023). Artificial intelligence in social science: a study based on bibliometrics analysis. Human Technology, 19(2), 149–162. https://doi.org/10.14254/1795-6889.2023.19-2.1
Rasiwala, F.S., & Kohli, B. (2021). Artificial intelligence in fintech: Understanding stakeholders perception on innovation, disruption, and transformation in finance. International Journal of Business Intelligence Research, 12(1), 48–65. https://doi.org/10.4018/IJBIR.20210101.oa3
Sahut, J.M., Iandoli, L., & Teulon, F. (2021). The age of digital entrepreneurship. Small Business Economics, 56(3), 1159–1169. https://doi.org/10.1007/s11187-019-00260-8
Sarasvathy, S.D. (2001). Causation and effectuation: Toward a theoretical shift from economic inevitability to entrepreneurial contingency. Academy of Management Review, 26(2), 243–263. https://doi.org/10.2307/259121
Schiavone, F., Pietronudo, M.C., Sabetta, A., & Bernhard, F. (2023). Designing AI implications in the venture creation process. International Journal of Entrepreneurial Behaviour and Research, 29(4), 838–859. https://doi.org/10.1108/IJEBR-06-2021-0483
Schreier, M., Stamann, C., Janssen, M., Dahl, T., & Whittal, A. (2019). Qualitative content analysis: Conceptualizations and challenges in research practice-introduction to the FQS special issue “qualitative content analysis I”. Forum Qualitative Sozialforschung, 20(3). https://doi.org/10.17169/fqs-20.3.3393
Schumpeter, J.A. (1934). A gazdasági fejlődés elmélete. Közgazdasági és Jogi Könyvkiadó.
Schumpeter, J.A. (1942). Capitalism, socialism and democracy. Harper & Brothers.
Secinaro, S., Dal Mas, F., Massaro, M., & Calandra, D. (2022). Exploring agricultural entrepreneurship and new technologies: academic and practitioners’ views. British Food Journal, 124(7), 2096–2113. https://doi.org/10.1108/BFJ-08-2021-0905
Seshia, S.A., Sadigh, D., & Sastry, S.S. (2022). Toward verified artificial intelligence. Communications of the ACM, 65(7), 46–55. https://doi.org/10.1145/3503914
Shane, S. (2000). Prior Knowledge and the Discovery of Entrepreneurial Opportunities. Organization Science, 11(4), 448–469. https://doi.org/10.1287/orsc.11.4.448.14602
Shane, S., & Venkataraman, S. (2000). The promise of entrepreneurship as a field of research. Academy of Management Review, 25(1), 217–226. https://doi.org/10.2307/259271
Sheikh, S. (2020). Understanding the role of artificial intelligence and its future social impact. IGI Global. https://doi.org/10.4018/978-1-7998-4607-9
Shepherd, D.A., & Majchrzak, A. (2022). Machines augmenting entrepreneurs: Opportunities (and threats) at the Nexus of artificial intelligence and entrepreneurship. Journal of Business Venturing, 37(4), 106227. https://doi.org/10.1016/j.jbusvent.2022.106227
Short, C.E., & Short, J.C. (2023). The artificially intelligent entrepreneur: ChatGPT, prompt engineering, and entrepreneurial rhetoric creation. Journal of Business Venturing Insights, 19, art. no. e00388, https://doi.org/10.1016/j.jbvi.2023.e00388
Townsend, D.M., & Hunt, R.A. (2019). Entrepreneurial action, creativity, & judgment in the age of artificial intelligence. Journal of Business Venturing Insights, 11. https://doi.org/10.1016/j.jbvi.2019.e00126
Venkataraman, S. (1997). The Distinctive Domain of Entrepreneurship Research. In Katz, J.A. & Corbet, A.C. (Eds.), Seminal Ideas for the Next Twenty-Five Years of Advances (Advances in Entrepreneurship, Firm Emergence and Growth, Vol. 21) (pp. 5-20). Emerald Publishing Limited. https://doi.org/10.1108/S1074-754020190000021009
Wang, X., Yang, H., Han, H., Huang, Y., & Wu, X. (2022). Explore the entrepreneurial process of AI start-ups from the perspective of opportunity. Systems Research and Behavioral Science, 39(3), 569–580. https://doi.org/10.1002/sres.2867
Zhai, Y., Yang, K., Chen, L., Lin, H., Yu, M., & Jin, R. (2023). Digital entrepreneurship: global maps and trends of research. Journal of Business and Industrial Marketing, 38(3), 637–655. https://doi.org/10.1108/JBIM-05-2021-0244
Zhang, Y., & Gosline, R. (2023). Human favoritism, not AI aversion: People’s perceptions (and bias) toward generative AI, human experts, and human–GAI collaboration in persuasive content generation. Judgement and Decision Making, 18, e41. https://doi.org/10.1017/jdm.2023.37
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