A vállalkozói lehetőségek és a mesterséges intelligencia összefüggései szisztematikus szakirodalmi áttekintés alapján
DOI:
https://doi.org/10.14267/VEZTUD.2025.02.03Kulcsszavak:
vállalkozói lehetőség, mesterséges intelligencia, vállalkozásfejlesztés, innováció, szisztematikus szakirodalmiAbsztrakt
A vállalkozói lehetőség kialakulása, feltárása, megteremtése és kihasználása az innováció és a versenyképesség alapja, a gazdaság fenntartható fejlődésének egyik kulcstényezője. A mesterséges intelligencia hozzájárul a vállalkozói lehetőségek azonosításához, elemzéséhez, illetve akár azok megvalósításához is, mely további lehetőségeket nyújt a vállalkozások számára. A tanulmány célja interdiszciplináris megközelítésben a mesterséges intelligencia szerepének elemzése a vállalkozói lehetőségekkel összefüggésben. A kutatás szisztematikus szakirodalmi áttekintés alapján vizsgálja a témakörben a Scopus adatbázisban megjelent publikációkat. A kutatás rámutat arra, hogy a mesterséges intelligencia komplex módon járul hozzá a vállalkozói lehetőségek gyorsabb és pontosabb feltárásához és kihasználásához akár bizonytalan piaci körülmények között is, mely elősegíti a vállalkozásfejlesztést. A mesterséges intelligencia fokozza a vállalkozások hatékonyságát támogatva a vállalati folyamatokat és a döntéshozatalt, elősegítve a vállalkozói lehetőségek azonosítását. Ugyanakkor a vállalkozási tevékenységbe integrált üzleti modellként hozzájárul a versenyképesség fokozásához, a termék- és szolgáltatásinnovációhoz.
Letöltések
Hivatkozások
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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