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RİSK SERMAYESİ VE GİRİŞİM FONLARININ YAPAY ZEKÂ TEKNOLOJİLERİ KULLANIMI ÜZERİNDEKİ ULUSLARARASI REKABETİ

Year 2022, Volume: 14 Issue: 26, 118 - 147, 31.01.2022
https://doi.org/10.14784/marufacd.1055189

Abstract

Yapay zeka (YZ) makineleri akıllı hale getirmek, kendi başına karar verebilen yeni makineleri inşa etmek, eğitmek ve çalıştırmak için sürekli geliştirilmeye çalışılan oldukça yenilikçi ve hızla yükselen bir teknolojidir. Yenilikçi YZ teknolojileri, bir organizasyonda farklı endüstrilerdeki çok çeşitli faaliyetlerde önemli ölçüde benimsendiğinden dolayı her tür görev için (harici veya dahili) veriye dayalı hızlı ve etkin karar verme yöntemlerine odaklanmanın artmasıyla kurumsal ve rekabetçi değerler üretebilmektedirler. Finansal hizmetler yatırım endüstrisinin geleneksel alt segmenti olan risk sermayesi (RS) endüstrisi, genelde yüksek riskli ve yüksek getirili varlık kategorisinde kabul edilir. RS girişim yatırımı karar verme süreci, önceki anlaşmalara, devlet teşviklerine, kalkınma hibelerine, şirket ve sektör verilerine ve stratejik bilgisine uygulanan makine öğrenimi ile optimize edilebilmektedir. Bu bağlamda literatür ve sektörel raporları değerlendiren bu çalışma, YZ’nin doğrudan yatırım stratejisi eksikliği ve bölgesel kalkınma planları ile bölgesel yenilik stratejilerinde yer almamasını Türk yatırım ikliminde ciddi bir zafiyet olarak tespit etmektedir. Ayrıca, çalışmada RS yatırım kararlarını analiz etme ve risk sermayesinde karar vermeyi iyileştirmek için YZ araçlarının ve tekniklerinin nasıl kullanılabileceğini ve bunun için ne tür yatırımlar yapılabildiğini anlamaya çalışılmaktadır. Ayrıca, YZ olanakları doğrultusunda yenilikçi bir şekilde yerli ve milli stratejiler geliştirilmesi için analiz, çözüm ve öneriler geliştirilmektedir.

References

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Year 2022, Volume: 14 Issue: 26, 118 - 147, 31.01.2022
https://doi.org/10.14784/marufacd.1055189

Abstract

References

  • AGRAWAL, Ajay., GANS Joshua ve GOLDFARB Avi. (2018), Prediction Machines: The Simple Economics of Artificial Intelligecnce, Harvard Business School Press, Brighton, MA.
  • AKBALIK, Murat, SIRMA, İbrahim. (2014). Türkiye’de Yabancı Bankaların Etkinliği; Veri Zarflama Analiz Uygulaması. Finansal Araştırmalar ve Çalışmalar Dergisi, 4 (8), 1-16. https://dergipark.org.tr/tr/pub/marufacd/issue/502/4563
  • ALAMEDA, Teresa.. (2020). “Data, AI and Financial Inclusion: The Future of Global Banking—Responsible Finance Forum”, Responsible Finance ForumBBVA 2020. Available online: https://responsiblefinance forum.org/data-ai-financial-inclusion-future-global-banking/ (erişim tarihi 21 May 2021)
  • BARUFFALDİ, Stefano. ve ark (2020), “Identifying and measuring developments in artificial intelligence: Making the impossible possible” OECD Science, Technology and Industry Working Papers, No. 2020/05, Paris.
  • Bill & Melinda Gates Foundation. 2019. A G7 Partnership for Women’s Digital Financial Inclusion in Africa. https://docs.gatesfoundation.org/Documents/WomensDigitalFinancialInclusioninAfrica_English.pdf?sf105300406=1 (erişim tarihi 19 May 2020)
  • BONANZİNGA Roberto., (2017) Hunting v/s Farming: A Founder Friendly Evolution of Venture Capital, https://medium.com/entrepreneurship-at-work/hunting-v-s-farming-a-founder-friendly-evolution-of-venture-capital-fd80d00d2bce (erişim tarihi 25 May 2021).
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  • TANINMIŞ YÜCEMEMİŞ, Başak, YILDIZ, Melek (2019). Finansal Okuryazarlığın Finansal İstikrar Üzerindeki Etkisi: Dünya Geneli İçin Amprik Bir Analiz. Finansal Araştırmalar ve Çalışmalar Dergisi , 11 (20) , 109-131 . DOI: 10.14784/marufacd.599205
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There are 58 citations in total.

Details

Primary Language Turkish
Journal Section Makaleler
Authors

Ahmet Efe This is me

Publication Date January 31, 2022
Submission Date July 13, 2021
Published in Issue Year 2022 Volume: 14 Issue: 26

Cite

APA Efe, A. (2022). RİSK SERMAYESİ VE GİRİŞİM FONLARININ YAPAY ZEKÂ TEKNOLOJİLERİ KULLANIMI ÜZERİNDEKİ ULUSLARARASI REKABETİ. Finansal Araştırmalar Ve Çalışmalar Dergisi, 14(26), 118-147. https://doi.org/10.14784/marufacd.1055189