Araştırma Makalesi
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Türkiye’de Dış Ticaret İstihbarat Merkezleri: Küresel Ticaret Dinamikleri ve Büyük Veri Alanındaki Gelişmelerin Etkisi

Yıl 2025, Cilt: 35 Sayı: 2, 721 - 734

Aslıhan Yördem

https://doi.org/10.18069/firatsbed.1593634

Öz

İhracat odaklı büyüme stratejileri, milli gelir, büyüme oranları, sanayileşme ve istihdam gibi önemli ekonomik göstergelerin şekillenmesinde büyük rol oynamakta ve bu sayede küresel ekonomide belirleyici bir konum kazanmaktadır. Diğer taraftan uluslararası ticaretin giderek daha karmaşık hale gelmesi ve küresel rekabetin artmasıyla birlikte, hükümetler açık ve örtük çeşitli destek mekanizmaları geliştirmiştir. Bu önlemler, firmaları küresel pazarlara yönlendirirken aynı zamanda rekabet avantajlarını güçlendirmeyi ve kapasitelerini artırmayı hedeflemektedir. Bu süreç, uluslararası pazarlara girmek, riskleri değerlendirmek, eğilimleri tahmin etmek ve küresel ticaretin dinamik yapısına uyum sağlamak için doğru, zamanında ve eyleme dönüştürülebilir veriye olan talebin artmasına neden olmuştur. Bu ortamda, ileri veri teknolojileri uluslararası ticaret uygulamalarında önemli bir dönüşüm yaratma potansiyeline sahip itici güçler olarak ön plana çıkmıştır. Bu çalışma, bilhassa küresel ticaret dinamikleri ve büyük verideki gelişmeler bağlamında operasyonel yapıları ile rekabet istihbarat çerçevelerine vurgu yaparak, Türkiye’de son yıllarda kurulan dış ticaret istihbarat merkezlerinin kapsamlı bir analizini sunmaktadır. Ayrıca, araştırma, bu merkezlerin etkinliğini artırmaya yönelik iyileştirilmesi gereken alanları belirleyerek, Türkiye'nin ticaret istihbaratı kapasitesini daha etkili hale getirme konusunda önemli içgörüler sağlamaktadır

Anahtar Kelimeler

Türkiye dış ticaret istihbarat merkezleri büyük veri küresel ticaret dinamikleri

Kaynakça

  • Abubakar, T.T., Bozkurt, Ö.Ç. and Kalkan, A. (2022). Büyük veri kullanımının Türk işletmelerinin ürün ve süreç inovasyonu üzerindeki etkisi. Doğuş Üniversitesi Dergisi, 23(1): 87-103.
  • Akcayol, M. A. (n.d.). Büyük veri için istatistiksel öğrenme [Course Presentation]. Gazi University Department of Computer Engineering, https://bigdata.gazi.edu.tr/akcayol/files/SLBD_L2BigData.pdf
  • Atik, A.Y. (2021). Gümrük Birliği’nin modernizasyonu: Türkiye, Avrupa Birliği ve Birleşik Krallık ilişkilerinde yeni bir yol haritası. (Unpublished Ph.D. Dissertation). Istanbul University Institute of Social Sciences, Istanbul.
  • Bulley, C., Baku, K. and Allan, M. (2014). Competitive intelligence information: A key business success factor. Journal of Management and Sustainability, 4(2):82-91.
  • Cadden, T., Weerawardena, J., Cao, G., Duan, Y. and McIvor, R. (2023). Examining the role of big data and marketing analytics in SMEs innovation and competitive advantage: A knowledge integration perspective. Journal of Business Research, 168(C).
  • Calof, J. and Viviers, W. (2020). Big data analytics and international market selection: An exploratory study. Journal of Intelligence Studies in Business, 10(2):13-25.
  • Colakoglu, T. (2011). The problematic of competitive intelligence: How to evaluate & develop competitive intelligence?. Procedia Social and Behavioral Sciences, 24:1615–1623.
  • CRIF Türkiye (2021). Executive expectation survey. (2024, 23 December). Retrieved from https://www.linkedin.com/company/crifturkey/posts/?feedView=all
  • D’Andrea, B., Degain, C., Eberth, F., Rubínová, S., Snoussi-Mimouni, M. and Xu, A. (2024, April 24). Thirty years of trade growth and poverty reduction [WTO Blog]. Retrieved from https://www.wto.org/english/blogs_e/data_blog_e/blog_dta_24apr24_e.htm
  • Flores, A. (2020, October 23). Big data streamlining international trade [MexicoBusinessNews]. Retrieved from https://mexicobusiness.news/trade-and-investment/news/big-data-streamlining-international-trade
  • Gupta, S. D. (2015). Comparative advantage and competitive advantage: An economics perspective and a synthesis, Athens Journal of Business and Economics, 1(1): 9-22.
  • Keyes, L. (2015/2016). Data analytics how data analytics can simplify and facilitate trade within the European Union. Europese Fiscale Studies. Retrieved from https://www.erasmusfiscalstudies.nl/upload/Keyes%20-%20verhandeling%20FINAL.pdf
  • Kim, K., Rao, G., and Martin, M. (2022). Economic analysis: Russia-Ukraine war impact on supply chains and inflation. KPMG. Retrieved from https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2022/economic-analysis-russia-ukraine-war-impact-supply-chains-inflation.pdf
  • Koç. Y. (2014). Dış ticaret istihbarat kanalları, Istanbul Chamber of Industry, ISBN: 978-605-137-372-0.
  • Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C. and Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.
  • Mayer-Schönberger, V. and Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt, Boston.
  • Mo, Z. and Li, Y.F. (2015). Research of big data based on the views of technology and application, American Journal of Industrial and Business Management, 5: 192-197.
  • Mojarada, S.Y.R., Zangeneha, G.H.K. and Azada, N. (2014). The role of competitive intelligence on improving exports. Management Science Letters, 4: 2273–2284.
  • Mucci, T. and Stryker C. (2024, April 5). What is big data analytics? [IBM]. Retrieved from https://www.ibm.com/topics/big-data-analytics
  • Organize Sanayi Bölgeleri Üst Kuruluşu (OSBÜK) (2021). Dış ticaret istihbarat merkezleri iyi uygulamalar kılavuzu. Pilgrim, G., Guidetti E. and Mourougane A. (2024, March 4). Monitoring global trade using data on vessel traffic [OECD Statistic]. Retrieved from https://oecdstatistics.blog/2024/03/21/monitoring-global-trade-using-data-on-vessel-traffic/
  • Porter, M.E. (1990). The competitive advantage of nations. Harvard Business Review. Retrieved from https://hbr.org/1990/03/the-competitive-advantage-of-nations
  • Schumacher, R. (2013). Deconstructing the theory of comparative advantage. World Economic Review, 2: 83-105.
  • Saeed, N. and Husamaldın, L. (2021). Big data characteristics (V’s) in industry. Iraqi Journal of Industrial Research, 8(1).
  • Tamberi, N. (2023). Trade and growth. UK Trade Policy Observatory, Briefing Paper 77.
  • Trabucchi, D. and Buganza, T. (2019). Data-driven innovation: Switching the perspective on big data. European Journal of Innovation Management, 22(1): 23-40.
  • Wang, S. (2024). The impact of digital transformation on international trade based on big data analysis models and threshold effects. Highlights in Business, Economics and Management, 30: 458-472.
  • World Bank (2020). World development report: Trading for development in the age of global value chains. Retrieved from: https://www.worldbank.org/en/publication/wdr2020
  • World Bank DATA (2024, December). Exports of goods and services (% of GDP) data. Retrieved from https://data.worldbank.org/indicator/NE.EXP.GNFS.ZS?end=2023&most_recent_value_desc=true&start=1960&view=chart
  • World Economic Forum (WEF). (2016). Global enabling trade report 2016. Retrieved from http://wef.ch/getr
  • World Trade Organization (WTO). (2024). Global trade outlook and statistics. Retrieved from https://www.wto.org/english/res_e/booksp_e/trade_outlook24_e.pdf
  • Yan, Z. (2021). Research of the impact of big data on enterprise import and export based on economic globalization. Paper presented at E3S Web of Conferences 253, 02001.

Foreign Trade Intelligence Centers in Türkiye: The Impact of Global Trade Dynamics and Advances in Big Data

Yıl 2025, Cilt: 35 Sayı: 2, 721 - 734

Aslıhan Yördem

https://doi.org/10.18069/firatsbed.1593634

Öz

Export-oriented growth strategies have been pivotal in shaping critical economic indicators such as national income, growth rates, industrialization, and employment, thereby assuming a determinative role in the global economy. In response to the growing complexity of international trade and the intensification of global competition, governments have introduced a range of both explicit and implicit support mechanisms. These measures are to guide firms toward global markets while concurrently enhancing their ability to strengthen their competitive advantage. This shift has precipitated a substantial increase in the demand for precise, timely, and actionable data, which has become indispensable for entering international markets, evaluating risks, forecasting trends, and adapting to the dynamic nature of global trade. In this landscape, advanced data technologies have emerged as transformative drivers of change in international trade. This study provides a comprehensive analysis of the foreign trade intelligence centers recently established in Türkiye, with particular emphasis on their operational structures and competitive intelligence frameworks in the context of global trade dynamics and big data advancements. In addition, the research identifies key areas where improvements are necessary to enhance the effectiveness of the centers, offering critical insights into how Türkiye can optimize its trade intelligence capabilities

Anahtar Kelimeler

Foreign trade intelligence centers Türkiye Big data Global trade dynamics

Kaynakça

  • Abubakar, T.T., Bozkurt, Ö.Ç. and Kalkan, A. (2022). Büyük veri kullanımının Türk işletmelerinin ürün ve süreç inovasyonu üzerindeki etkisi. Doğuş Üniversitesi Dergisi, 23(1): 87-103.
  • Akcayol, M. A. (n.d.). Büyük veri için istatistiksel öğrenme [Course Presentation]. Gazi University Department of Computer Engineering, https://bigdata.gazi.edu.tr/akcayol/files/SLBD_L2BigData.pdf
  • Atik, A.Y. (2021). Gümrük Birliği’nin modernizasyonu: Türkiye, Avrupa Birliği ve Birleşik Krallık ilişkilerinde yeni bir yol haritası. (Unpublished Ph.D. Dissertation). Istanbul University Institute of Social Sciences, Istanbul.
  • Bulley, C., Baku, K. and Allan, M. (2014). Competitive intelligence information: A key business success factor. Journal of Management and Sustainability, 4(2):82-91.
  • Cadden, T., Weerawardena, J., Cao, G., Duan, Y. and McIvor, R. (2023). Examining the role of big data and marketing analytics in SMEs innovation and competitive advantage: A knowledge integration perspective. Journal of Business Research, 168(C).
  • Calof, J. and Viviers, W. (2020). Big data analytics and international market selection: An exploratory study. Journal of Intelligence Studies in Business, 10(2):13-25.
  • Colakoglu, T. (2011). The problematic of competitive intelligence: How to evaluate & develop competitive intelligence?. Procedia Social and Behavioral Sciences, 24:1615–1623.
  • CRIF Türkiye (2021). Executive expectation survey. (2024, 23 December). Retrieved from https://www.linkedin.com/company/crifturkey/posts/?feedView=all
  • D’Andrea, B., Degain, C., Eberth, F., Rubínová, S., Snoussi-Mimouni, M. and Xu, A. (2024, April 24). Thirty years of trade growth and poverty reduction [WTO Blog]. Retrieved from https://www.wto.org/english/blogs_e/data_blog_e/blog_dta_24apr24_e.htm
  • Flores, A. (2020, October 23). Big data streamlining international trade [MexicoBusinessNews]. Retrieved from https://mexicobusiness.news/trade-and-investment/news/big-data-streamlining-international-trade
  • Gupta, S. D. (2015). Comparative advantage and competitive advantage: An economics perspective and a synthesis, Athens Journal of Business and Economics, 1(1): 9-22.
  • Keyes, L. (2015/2016). Data analytics how data analytics can simplify and facilitate trade within the European Union. Europese Fiscale Studies. Retrieved from https://www.erasmusfiscalstudies.nl/upload/Keyes%20-%20verhandeling%20FINAL.pdf
  • Kim, K., Rao, G., and Martin, M. (2022). Economic analysis: Russia-Ukraine war impact on supply chains and inflation. KPMG. Retrieved from https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2022/economic-analysis-russia-ukraine-war-impact-supply-chains-inflation.pdf
  • Koç. Y. (2014). Dış ticaret istihbarat kanalları, Istanbul Chamber of Industry, ISBN: 978-605-137-372-0.
  • Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C. and Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.
  • Mayer-Schönberger, V. and Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt, Boston.
  • Mo, Z. and Li, Y.F. (2015). Research of big data based on the views of technology and application, American Journal of Industrial and Business Management, 5: 192-197.
  • Mojarada, S.Y.R., Zangeneha, G.H.K. and Azada, N. (2014). The role of competitive intelligence on improving exports. Management Science Letters, 4: 2273–2284.
  • Mucci, T. and Stryker C. (2024, April 5). What is big data analytics? [IBM]. Retrieved from https://www.ibm.com/topics/big-data-analytics
  • Organize Sanayi Bölgeleri Üst Kuruluşu (OSBÜK) (2021). Dış ticaret istihbarat merkezleri iyi uygulamalar kılavuzu. Pilgrim, G., Guidetti E. and Mourougane A. (2024, March 4). Monitoring global trade using data on vessel traffic [OECD Statistic]. Retrieved from https://oecdstatistics.blog/2024/03/21/monitoring-global-trade-using-data-on-vessel-traffic/
  • Porter, M.E. (1990). The competitive advantage of nations. Harvard Business Review. Retrieved from https://hbr.org/1990/03/the-competitive-advantage-of-nations
  • Schumacher, R. (2013). Deconstructing the theory of comparative advantage. World Economic Review, 2: 83-105.
  • Saeed, N. and Husamaldın, L. (2021). Big data characteristics (V’s) in industry. Iraqi Journal of Industrial Research, 8(1).
  • Tamberi, N. (2023). Trade and growth. UK Trade Policy Observatory, Briefing Paper 77.
  • Trabucchi, D. and Buganza, T. (2019). Data-driven innovation: Switching the perspective on big data. European Journal of Innovation Management, 22(1): 23-40.
  • Wang, S. (2024). The impact of digital transformation on international trade based on big data analysis models and threshold effects. Highlights in Business, Economics and Management, 30: 458-472.
  • World Bank (2020). World development report: Trading for development in the age of global value chains. Retrieved from: https://www.worldbank.org/en/publication/wdr2020
  • World Bank DATA (2024, December). Exports of goods and services (% of GDP) data. Retrieved from https://data.worldbank.org/indicator/NE.EXP.GNFS.ZS?end=2023&most_recent_value_desc=true&start=1960&view=chart
  • World Economic Forum (WEF). (2016). Global enabling trade report 2016. Retrieved from http://wef.ch/getr
  • World Trade Organization (WTO). (2024). Global trade outlook and statistics. Retrieved from https://www.wto.org/english/res_e/booksp_e/trade_outlook24_e.pdf
  • Yan, Z. (2021). Research of the impact of big data on enterprise import and export based on economic globalization. Paper presented at E3S Web of Conferences 253, 02001.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Büyük Veri, Dış Ticaret
Bölüm Makaleler
Yazarlar

Aslıhan Yördem 0000-0002-2201-2323

Erken Görünüm Tarihi 6 Mayıs 2025
Yayımlanma Tarihi
Gönderilme Tarihi 29 Kasım 2024
Kabul Tarihi 20 Mart 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 35 Sayı: 2

Kaynak Göster

APA Yördem, A. (2025). Foreign Trade Intelligence Centers in Türkiye: The Impact of Global Trade Dynamics and Advances in Big Data. Firat University Journal of Social Sciences, 35(2), 721-734. https://doi.org/10.18069/firatsbed.1593634
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