Yapay Zeka ve Büyük Verinin Girişimcilik Üzerindeki Etkisi: Bir Bibliyometrik Analiz
Yıl 2023,
Cilt: 7 Sayı: 13, 24 - 38, 31.12.2023
Mustafa Yılmaz
,
Selami Özcan
Öz
Yapay zekâ ve büyük veri kavramları, son yıllarda artan etkileri dolayısıyla farklı bilim dallarında yaygın olarak araştırılmaktadır. Yapay zekâ ve büyük veri alanındaki ilerlemeler girişimcilere birçok fırsat sunarken diğer yandan farklı zorluklarla karşı karşıya bırakmıştır. Bu teknolojik ilerlemeler iş modellerini değiştirmekte, girişimciliği dijital tabanlı olarak geliştirmekte ve farklı girişimcilik türlerinin ortaya çıkmasına olanak sağlamaktadır. Bu noktadan hareketle mevcut çalışma girişimcilikte yapay zekâ ve büyük verinin etkisini anlamlandırabilmeyi ve çalışmaların eğilimini ve temel dönüşümlerini ele alarak alana dair derin bir içgörü elde etmeyi amaçlamaktadır. Bu amaç doğrultusunda Web of Science veri tabanında yer alan ve araştırma konusunda (başlık, özet ve anahtar kelime) büyük veri-yapay zekâ-girişimcilik terimleri bulunan 228 çalışma araştırmanın veri setini oluşturmaktadır. Veri setinde bulunan çalışmalar bibliyometrik analiz yöntemiyle analiz edilecek, VOS Viewer ve R Bibliometrix programları ile çeşitli analizler ve görselleştirme teknikleri uygulanacaktır. Yapay zekâ, büyük veri ve girişimcilik alanında en fazla atıf alan çalışmalar, en fazla atıf alan dergiler, yayınların ülkelere göre dağılımı, yıllara göre yayın sayısı gibi çeşitli başlıklar bibliyometrik göstergeler yardımıyla incelenecektir. Mevcut çalışmanın girişimcilik disiplinindeki değişimleri ve gelişimleri ortaya çıkararak girişimcilik akademisyenleri, eğitimcileri ve uygulayıcıları için yol gösterici bir çalışma olması hedeflenmiştir.
Kaynakça
- Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction, judgment, and complexity: a theory of decision-making and artificial intelligence. In The Economics of Artificial Intelligence: An Agenda (Pp. 89-110). University Of Chicago Press.
- Aria, M., & Cuccurullo, C. (2017). Bibliometrix: an r-tool for comprehensive science mapping analysis. Journal Of Informetrics, 11(4), 959-975.
- Arora, M., & Sharma, R. L. (2023). Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses. Foresight, 25(1), 126-143.
- Brynjolfsson, E., & Mcafee, A. (2014). The second machine age: work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
- 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.
- De Reizabal, M. L., & Benito Gómez, M. (2020). When theory and practice meet: avenues for entrepreneurship education in music conservatories. International Journal of Music Education, 38(3), 352-369.
- Diodato, V. (1994). Dictionary of bibliometrics. Binghamton: Haworth Press.
- Forliano, C., De Bernardi, P., & Yahiaoui, D. (2021). Entrepreneurial universities: a bibliometric analysis within the business and management domains. Technological Forecasting and Social Change, 165, 120522.
- 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.
- Hsu, F. H. (2002). Behind deep blue: building the computer that defeated the world chess champion. Princeton University Press.
- Kim, J., & Mcmillan, S. J. (2008). Evaluation of internet advertising research: a bibliometric analysis of citations from key sources. Journal of Advertising, 37(1), 99-112.
- Kim, J., Kang, S., & Lee, K. H. (2021). Evolution of digital marketing communication: bibliometric analysis and network visualization from key articles. Journal of Business Research, 130, 552-563.
- Korinek, A., & Stiglitz, J. E. (2018). Artificial intelligence and its implications for income distribution and unemployment. In The Economics of Artificial Intelligence: An Agenda (Pp. 349-390). University of Chicago Press.
- Küçük, O. (2021). Girişimcilik ve Küçük İşletme Yönetimi, (10. Baskı). Seçkin Yayıncılık, Ankara.
- Leone, D., Schiavone, F., Appio, F. P., & Chiao, B. (2021). How does artificial intelligence enable and enhance value co-creation in industrial markets? an exploratory case study in the healthcare ecosystem. Journal of Business Research, 129, 849-859.
- 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.
- Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Brain intelligence: go beyond artificial intelligence. Mobile Networks and Applications, 23, 368-375.
- Lu, Y. (2019). Artificial intelligence: a survey on evolution, models, applications and future trends. Journal of Management Analytics, 6(1), 1-29.
- Nambisan, S. (2017). Digital entrepreneurship: toward a digital technology perspective of entrepreneurship. Entrepreneurship Theory and Practice, 41(6), 1029-1055.
- Nilsson, N. J. (2009). The quest for artificial intelligence. Cambridge University Press.
- Obschonka, M., & Audretsch, D. B. (2020). Artificial intelligence and big data in entrepreneurship: a new era has begun. Small Business Economics, 55, 529-539.
- O'Leary, D. E. (2013). Artificial intelligence and big data. IEEE İntelligent Systems, 28(2), 96-99.
Pacut, A. (2020), “Drivers toward social entrepreneurs engagement in poland: an institutional approach”, Administrative Sciences, Vol. 10 No. 1, P. 5.
- Ramos‐Rodríguez, A. R., & Ruíz‐Navarro, J. (2004). Changes in the intellectual structure of strategic management research: a bibliometric study of the strategic management journal, 1980–2000. Strategic Management Journal, 25(10), 981-1004.
- Sağıroglu, S., & Sinanc, D. (2013). Big data: a review. In 2013 International Conference On Collaboration Technologies and Systems (CTS) (Pp. 42-47). IEEE.
- Shabbir, M. S., Batool, F., & Mahmood, A. (2022). Trends in entrepreneurship education: a systematic literature review. Higher Education, Skills and Work-Based Learning, 12(6), 1040-1056.
- Shafique, M. (2013). Thinking inside the box? intellectual structure of the knowledge base of innovation research (1988–2008). Strategic Management Journal, 34(1), 62-93.
- 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.
- Sher, A., Abbas, A., Mazhar, S., Azadi, H., & Lin, G. (2020). fostering sustainable ventures: drivers of sustainable start-up ıntentions among aspiring entrepreneurs in pakistan. Journal of Cleaner Production, 262, 121269.
- Spender, J. C., Corvello, V., Grimaldi, M., & Rippa, P. (2017). Startups and open innovation: a review of the literature. European Journal of Innovation Management, 20(1), 4-30.
- Susskind, R. E., & Susskind, D. (2015). The future of the professions: how technology will transform the work of human experts. Oxford University Press, USA.
- Townsend, D. M., & Hunt, R. A. (2019). Entrepreneurial action, creativity, & judgment in the age of artificial intelligence. Journal of Business Venturing Insights, 11, E00126.
- Troise, C., Ben-Hafaïedh, C., Tani, M., & Yablonsky, S. A. (2022). Guest editorial: new technologies and entrepreneurship: exploring entrepreneurial behavior in the digital transformation era. International Journal of Entrepreneurial Behavior & Research, 28(5), 1129-1137.
- Upadhyay, N., Upadhyay, S., & Dwivedi, Y. K. (2022). Theorizing artificial ıntelligence acceptance and digital entrepreneurship model. International Journal of Entrepreneurial Behavior & Research, 28(5), 1138-1166.
- Van Burg, E., & Romme, A. G. L. (2014). Creating the future together: toward a framework for research synthesis in entrepreneurship. Entrepreneurship Theory and Practice, 38(2), 369-397.
- Van Eck, N., & Waltman, L. (2010). Software survey: vosviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
- Veleva, V., & Bodkin, G. (2018). Corporate-entrepreneur collaborations to advance a circular economy. Journal of Cleaner Production, 188, 20-37.
- Xiao, A., Qin, Y., Xu, Z., & Skare, M. (2023). A comprehensive bibliometric analysis of big data in entrepreneurship research. Engineering Economics, 34(2), 175-192.
- Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: the state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224.