Araştırma Makalesi
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ULUSLARARASI TİCARETTE YAPAY ZEKA UYGULAMALARINA GENEL BAKIŞ

Yıl 2025, Cilt: 27 Sayı: 50 , 1385 - 1402 , 25.12.2025
https://doi.org/10.18493/kmusekad.1566501
https://izlik.org/JA36PK88GK

Öz

Hayatımızda giderek daha fazla yer edinen yapay zekâ (YZ) teknolojileri, uluslararası ticarette de geniş bir uygulama alanı bulmaktadır. YZ yeteneklerinin etkili bir şekilde kullanılması, uluslararası ticaretin planlanmasında, yönetiminde ve uygulanmasında önemli faydalar sağlayabilir. Bu çalışma, geçmişten günümüze uluslararası ticarette YZ uygulamalarına ilişkin akademik araştırmaları analiz etmeyi amaçlamaktadır. Bunu başarmak için kapsamlı bir literatür taraması gerçekleştirilmiştir. Araştırma kapsamında, uluslararası ticarette YZ kullanımına ilişkin çalışmaların odaklandığı alanlarla ilgili genel bir değerlendirme sunulmuş ve eksikliklerin bulunduğu alanlar tespit edilmiştir, böylece yeni araştırma girişimlerine zemin hazırlamayı amaçlayarak önerilerde bulunulmuştur. Geniş ve karmaşık bir yapıya sahip olan YZ uygulamaları, her geçen gün yeni boyutlar ve yetenekler kazanan dinamik bir teknolojiyi temsil etmektedir. Dolayısıyla, YZ’nin uluslararası ticarette etkin bir şekilde kullanılabileceği belirli alanları tespit etmek önemli bir konudur. YZ’nin karmaşıklığı, küresel ticaretin çeşitli yönlerinde potansiyel uygulamalarını belirlemenin önemini vurgulamaktadır. YZ'nin uluslararası ticaretteki potansiyel faydalarını öngörerek, bu tür araştırmalar yalnızca değerli içgörüler sunmakla kalmaz, aynı zamanda inovasyonu teşvik etmek ve ilgili zorlukları ele almak için bir katalizör görevi görür. Ayrıca, YZ teknolojisinin en çok fayda sağlayacağı uluslararası ticaret alanlarına ışık tutmak, paydaşların bilinçli kararlar almasına ve stratejik planlama yapmasına katkı sağlayabilir. Dolayısıyla, bu araştırma yalnızca uluslararası ticarette YZ uygulamalarının mevcut durumunu incelemeyi değil, aynı zamanda keşfedilmeye uygun alanları ve ileriye dönük araştırma yollarını tespit ederek gelecekteki girişimler için temel oluşturmayı hedeflemektedir.

Kaynakça

  • Ahmed, S., Alshater, M. M., El Ammari, A. and Hammami, H. (2022). Artificial Intelligence and Machine Learning in Finance: A Bibliometric Review. Research in International Business and Finance, 61, 101646.
  • Aktepe, Ş. and Karakulle, İ. (2023). İşletmelerde Rekabet Üstünlüğü Sağlamada Yapay Zeka Kullanımı E- Ticaret Sitelerinin Mobil Uygulamalar Örneği. Fenerbahçe Üniversitesi Sosyal Bilimler Dergisi, 3, 30-46.
  • Alpaydin, E. (2020). Machine learning. Sammut, C. Webb, G. I. (Ed.). In Encyclopedia of Machine Learning and Data Mining (2nd ed.) (pp. 748–753). Springer. https://doi.org/10.1007/978-1-4899-7687-1
  • Arzu, A. and Bilgiç, O. (2023). The Impact of Artificial Intelligence Integrated Product Trade on International Political Economy. TESAM Akademi Dergisi, 10, 393-409. https://doi.org/10.30626/tesamakademi.1270822
  • Avcı, A. (2022). Lojistik Sektöründe Blok Zinciri ve Yapay Zeka Uygulamalarının İncelemesi. International Journal of Social Humanities Sciences, 9, 1311-1316. https://doi.org/10.26450/jshsr.3116
  • Aylak, B. L., Oral, O. and Yazıcı, K. (2021). Yapay Zeka ve Makine Öğrenmesi Tekniklerinin Lojistik Sektöründe Kullanımı. El-Cezeri, 8, 74-93. https://doi.org/10.31202/ecjse.776314
  • Ballamudi, V. K. R. (2019). Artificial Intelligence: Implication On Management. Global Disclosure of Economics And Business, 8, 105-118.
  • Baronchelli, A. (2024). Shaping New Norms for AI. Philosophical Transactions of the Royal Society B, 379, 20230028. https://doi.org/10.1098/rstb.2023.0028
  • Belghachi, M. (2023). A Review On Explainable Artificial Intelligence Methods, Applications, And Challenges. Indonesian Journal Of Electrical Engineering And Informatics, 11, 1007-1024. https://doi.org/10.52549/ijeei.v11i4.5151
  • Belu, M.G., Dieaconescu, R.I., Paraschiv, D.M. and Popa, I., (2021). The Impact of Implementing New Technologies in International Trade and Logistics. In: R. Pamfilie, V. Dinu, L. Tăchiciu, D. Pleșea, C. Vasiliu (eds). 7th BASIQ International Conference on New Trends in Sustainable Business and Consumption. Foggia, Italy, 3- 5 June 2021. Bucharest: ASE, (pp. 284-293) https://doi.org/10.24818/BASIQ/2021/07/037
  • Berdiyeva, O., Islam, M. U. and Saeedi, M. (2021). Artificial Intelligence In Accounting And Finance: Meta- Analysis. International Business Review, 3, 56-79.
  • Boşgelmez, G. And Çengel, Ö. (2023). Uluslararası Ticaretin Teknolojik Dizaynı: Uluslararası Dijital Tedarik Zinciri Örneği. Süleyman Demirel Üniversitesi Vizyoner Dergisi, 14, 912-929. https://doi.org/10.21076/vizyoner.1190771
  • Brynjolfsson, E., Hui, X. and Liu, M. (2019). Does Machine Translation Affect International Trade? Evidence From A Large Digital Platform. Management Science, 65, 5449-5460. https://doi.org/10.1287/mnsc.2019.3388
  • Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A. and Truong, L. (2023). Unlocking The Value Of Artificial Intelligence Human Resource Management Through AI Capability Framework. Human Resource Management Review, 33, 100899. https://doi.org/10.1016/j.hrmr.2022.100899
  • Civelek, M. E. and Artar, O. K. (2019). Blockchain And Artificial Intelligence Technologies For Balanced Foreign Trade: Replacing Exchange Function Of Money. European Scientific Journal, 15(22). https://doi.org/10.19044/esj.2019.v15n22p137
  • Czarnitzki, D., Fernández, G. P. And Rammer, C. (2023). Artificial Intelligence And Firm-Level Productivity. Journal Of Economic Behavior And Organization, 211, 188-205. https://doi.org/10.1016/j.jebo.2023.05.008
  • Demirağ Çakici, E. And Yilmaz, K. G. (2021). Uluslararası Pazarlarda Hedef Pazar Seçimi Üzerine Bir Araştırma. Sosyal, Beşeri Ve İdari Bilimler Dergisi, 4, 833-849. https://doi.org/10.26677/TR1010.2021.801
  • Digiampietri, L. A., Roman, N. T., Meira, L. A., Jambeiro Filho, J., Ferreira, C. D., Kondo, A. A., Constantino, E. R., Rezende, R. C., Brandao, B. C. And Ribeiro, H. S. (2008). Uses Of Artificial Intelligence In The Brazilian Customs Fraud Detection System. In 9th Annual International Digital Government Research Conference. (pp. 181-187).
  • Ferencz, J., J. López González and I. Oliván García (2022), Artificial Intelligence and international trade: Some preliminary implications, OECD Trade Policy Papers, No. 260, OECD Publishing, Paris, https://doi.org/10.1787/13212d3e-en
  • Ferreira, F. G., Gandomi, A. H. And Cardoso, R. T. (2021). Artificial Intelligence Applied To Stock Market Trading: A Review. IEEE Access, 9, (pp. 30898-30917). https://doi.org/10.1109/ACCESS.2021.3058133
  • Goldfarb, A. and Trefler D. (2018), The Economics of Artificial Intelligence: An Agenda. University of Chicago Press, 19. https://www.nber.org/books-and-chapters/economics-artificial-intelligence-agenda/artificial- intelligence-and-international-trade.
  • Gonzalez, R. C., & Woods, R. E. (2018). Digital image processing (4th ed.). India: Pearson.
  • Goodfellow, I., Bengio, Y., and Courville, A. (2016). Deep learning. Cambridge: The MIT Press.
  • Goti, A., Querejeta-Lomas, L., Almeida, A., De La Puerta, J. G. And López-De-Ipiña, D. (2023). Artificial Intelligence In Business-To-Customer Fashion Retail: A Literature Review. Mathematics, 11, 2943. https://doi.org/10.3390/math11132943
  • Gupta, V. And Kumar, E. (2021). Review On Machine Learning Techniques For International Trade Trends Prediction. In 3rd International Conference On Advances In Computing, Communication Control And Networking, 2021. IEEE, (pp. 544-547). https://doi.org/10.1109/ICAC3N53548.2021.9725585
  • Hasan, A. R. (2021). Artificial Intelligence (AI) In Accounting And Auditing: A Literature Review. Open Journal Of Business And Management, 10, 440-465. https://doi.org/10.4236/ojbm.2022.101026
  • Hidayat, M., Defitri, S. Y. And Hilman, H. (2024). The Impact Of Artificial Intelligence (AI) On Financial Management. Management Studies And Business Journal (Productivity), 1, 123-129. https://doi.org/10.62207/s298rx18
  • Israhadi, E. I. (2023). Study Of International Trade Law In The Era Of Industrial Revolution 5.0. Russian Law Journal, 11, (pp. 2478-2488).
  • Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M. And Kuusk, A. (2023). Artificial Intelligence For Industry 4.0: Systematic Review Of Applications, Challenges, And Opportunities. Expert Systems With Applications, 216, 119456. https://doi.org/10.1016/j.eswa.2022.119456
  • Jayathilaka, U. R. (2022). The Role Of Artificial Intelligence In Accelerating International Trade: Evidence From Panel Data Analysis. Reviews Of Contemporary Business Analytics, 5, 1-15. https://orcid.org/0000-0002-1682- 9812
  • Jones, E. (2023). Digital Disruption: Artificial Intelligence And International Trade Policy. Oxford Review Of Economic Policy, 39, (pp. 70-84). https://doi.org/10.1093/oxrep/grac049
  • Jurafsky, D., & Martin, J. H. (2023). Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition (3rd ed.). Prentice Hall. https://web.stanford.edu/~jurafsky/slp3/
  • Kouka, M. And Magallanes, M. C. (2022). Technological Trivergence And International Trade: A Literature Review. Researchgate. https://www.researchgate.net
  • Mackenzie, D. (2018). Machine learning. In M. Ananny, J. Crawford, & M. Whittaker (Eds.), AI Now 2018 Report (pp. 6–9). AI Now Institute. https://ainowinstitute.org/AI_Now_2018_Report.pdf
  • Meltzer, J. P. (2024). The Impact Of Foundational AI On International Trade, Services And Supply Chains In Asia. Asian Economic Policy Review, 19, 129–147. https://doi.org/10.1111/aepr.12451
  • Nishant, R., Kennedy, M. And Corbett, J. (2020). Artificial Intelligence For Sustainability: Challenges, Opportunities, And A Research Agenda. International Journal Of Information Management, 53, 102104. https://doi.org/10.1016/j.ijinfomgt.2020.102104
  • OpenAI. (2023). Gpt-4 Technical Report. https://cdn.openai.com/papers/gpt-4.pdf
  • OpenAI. (2024). Yapay Zekanın Uluslararası Ticaretin Geleceğine Etkisi Available: https://www.chat.openai.com [Accessed 25.02.2024].
  • Paschen, J., Wilson, M. And Ferreira, J. J. (2020). Collaborative Intelligence: How Human And Artificial Intelligence Create Value Along The B2B Sales Funnel. Business Horizons, 63, 403-414. https://doi.org/10.1016/j.bushor.2020.01.003
  • Qi, B., Shen, Y. And Xu, T. (2023). An Artificial-Intelligence-Enabled Sustainable Supply Chain Model For B2C E- Commerce Business In The International Trade. Technological Forecasting And Social Change, 191, 122491. https://doi.org/10.1016/j.techfore.2023.122491
  • Savinov, Y. A. And Taranovskaja, E. V. (2020). Artificial Intelligence In International Trade. Russian Foreign Economic Journal, 4 (pp. 58-71. https://doi.org/10.1016/j.techfore.2023.122491
  • Sestino, A. And De Mauro, A. (2022). Leveraging Artificial Intelligence In Business: Implications, Applications And Methods. Technology Analysis And Strategic Management, 34, (pp. 16-29). https://doi.org/10.1080/09537325.2021.1883583
  • Shubailat, O., Al-Zaqeba, M., Madi, A. And Ababneh, A. (2024). Customs Intelligence And Risk Management In Sustainable Supply Chain For General Customs Department Logistics. Uncertain Supply Chain Management, 12, (pp. 387-398). https://doi.org/10.5267/j.uscm.2023.9.013
  • Trefler, D. And Sun, R. (2022). AI, Trade And Creative Destruction: A First Look. National Bureau Of Economic Research Working Paper 29980. https://doi.org/10.3386/w29980
  • Tüfenk, M. B. (2023). Dış Ticaretin Dijital Dönüşümü: Yapay Zeka Teknoloji. Uluslararası Ticaret Ve Ekonomi Araştırmaları Dergisi, 7, (pp. 13-18). https://doi.org/10.30711/utead.1265960
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  • WCO/WTO (2022). WCO/WTO Study Report On Disruptive Technologies. https://www.wto.org/english/res_e/booksp_e/wco-wto_e.pdf
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AN OVERVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN INTERNATIONAL TRADE

Yıl 2025, Cilt: 27 Sayı: 50 , 1385 - 1402 , 25.12.2025
https://doi.org/10.18493/kmusekad.1566501
https://izlik.org/JA36PK88GK

Öz

Artificial intelligence (AI) technologies, increasingly prominent in our lives, also widely apply in international trade. Effectively harnessing AI capabilities can yield significant benefits in planning, managing, and executing International Trade. This study aims to analyze academic research on AI applications in International Trade from the past to the present. To accomplish this, an extensive literature review has been conducted. Within the research scope, this study has provided a general assessment of the focus areas of studies related to AI use in International Trade and identified areas with gaps, aiming to pave the way for new research endeavors by proposing recommendations. AI applications, characterized by their expansive and intricate structure, represent a dynamic technology that continues to evolve with each passing day, unveiling new dimensions and capabilities. Consequently, identifying the specific domains within International Trade where AI can be effectively harnessed is an imperative inquiry. The complexity of AI underscore the importance of discerning its potential applications across various facets of global commerce. By projecting the potential utility of AI within International Trade, such investigations not only provide valuable insights but also serve as a catalyst for fostering innovation and addressing pertinent challenges. Moreover, shedding light on the areas within International Trade that stand to benefit most from AI interventions can facilitate informed decision-making and strategic planning among stakeholders. Hence, this research not only seeks to explore the existing landscape of AI applications in International Trade but also endeavors to lay the groundwork for future endeavors by identifying areas ripe for exploration and potential avenues for further investigation.

Kaynakça

  • Ahmed, S., Alshater, M. M., El Ammari, A. and Hammami, H. (2022). Artificial Intelligence and Machine Learning in Finance: A Bibliometric Review. Research in International Business and Finance, 61, 101646.
  • Aktepe, Ş. and Karakulle, İ. (2023). İşletmelerde Rekabet Üstünlüğü Sağlamada Yapay Zeka Kullanımı E- Ticaret Sitelerinin Mobil Uygulamalar Örneği. Fenerbahçe Üniversitesi Sosyal Bilimler Dergisi, 3, 30-46.
  • Alpaydin, E. (2020). Machine learning. Sammut, C. Webb, G. I. (Ed.). In Encyclopedia of Machine Learning and Data Mining (2nd ed.) (pp. 748–753). Springer. https://doi.org/10.1007/978-1-4899-7687-1
  • Arzu, A. and Bilgiç, O. (2023). The Impact of Artificial Intelligence Integrated Product Trade on International Political Economy. TESAM Akademi Dergisi, 10, 393-409. https://doi.org/10.30626/tesamakademi.1270822
  • Avcı, A. (2022). Lojistik Sektöründe Blok Zinciri ve Yapay Zeka Uygulamalarının İncelemesi. International Journal of Social Humanities Sciences, 9, 1311-1316. https://doi.org/10.26450/jshsr.3116
  • Aylak, B. L., Oral, O. and Yazıcı, K. (2021). Yapay Zeka ve Makine Öğrenmesi Tekniklerinin Lojistik Sektöründe Kullanımı. El-Cezeri, 8, 74-93. https://doi.org/10.31202/ecjse.776314
  • Ballamudi, V. K. R. (2019). Artificial Intelligence: Implication On Management. Global Disclosure of Economics And Business, 8, 105-118.
  • Baronchelli, A. (2024). Shaping New Norms for AI. Philosophical Transactions of the Royal Society B, 379, 20230028. https://doi.org/10.1098/rstb.2023.0028
  • Belghachi, M. (2023). A Review On Explainable Artificial Intelligence Methods, Applications, And Challenges. Indonesian Journal Of Electrical Engineering And Informatics, 11, 1007-1024. https://doi.org/10.52549/ijeei.v11i4.5151
  • Belu, M.G., Dieaconescu, R.I., Paraschiv, D.M. and Popa, I., (2021). The Impact of Implementing New Technologies in International Trade and Logistics. In: R. Pamfilie, V. Dinu, L. Tăchiciu, D. Pleșea, C. Vasiliu (eds). 7th BASIQ International Conference on New Trends in Sustainable Business and Consumption. Foggia, Italy, 3- 5 June 2021. Bucharest: ASE, (pp. 284-293) https://doi.org/10.24818/BASIQ/2021/07/037
  • Berdiyeva, O., Islam, M. U. and Saeedi, M. (2021). Artificial Intelligence In Accounting And Finance: Meta- Analysis. International Business Review, 3, 56-79.
  • Boşgelmez, G. And Çengel, Ö. (2023). Uluslararası Ticaretin Teknolojik Dizaynı: Uluslararası Dijital Tedarik Zinciri Örneği. Süleyman Demirel Üniversitesi Vizyoner Dergisi, 14, 912-929. https://doi.org/10.21076/vizyoner.1190771
  • Brynjolfsson, E., Hui, X. and Liu, M. (2019). Does Machine Translation Affect International Trade? Evidence From A Large Digital Platform. Management Science, 65, 5449-5460. https://doi.org/10.1287/mnsc.2019.3388
  • Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A. and Truong, L. (2023). Unlocking The Value Of Artificial Intelligence Human Resource Management Through AI Capability Framework. Human Resource Management Review, 33, 100899. https://doi.org/10.1016/j.hrmr.2022.100899
  • Civelek, M. E. and Artar, O. K. (2019). Blockchain And Artificial Intelligence Technologies For Balanced Foreign Trade: Replacing Exchange Function Of Money. European Scientific Journal, 15(22). https://doi.org/10.19044/esj.2019.v15n22p137
  • Czarnitzki, D., Fernández, G. P. And Rammer, C. (2023). Artificial Intelligence And Firm-Level Productivity. Journal Of Economic Behavior And Organization, 211, 188-205. https://doi.org/10.1016/j.jebo.2023.05.008
  • Demirağ Çakici, E. And Yilmaz, K. G. (2021). Uluslararası Pazarlarda Hedef Pazar Seçimi Üzerine Bir Araştırma. Sosyal, Beşeri Ve İdari Bilimler Dergisi, 4, 833-849. https://doi.org/10.26677/TR1010.2021.801
  • Digiampietri, L. A., Roman, N. T., Meira, L. A., Jambeiro Filho, J., Ferreira, C. D., Kondo, A. A., Constantino, E. R., Rezende, R. C., Brandao, B. C. And Ribeiro, H. S. (2008). Uses Of Artificial Intelligence In The Brazilian Customs Fraud Detection System. In 9th Annual International Digital Government Research Conference. (pp. 181-187).
  • Ferencz, J., J. López González and I. Oliván García (2022), Artificial Intelligence and international trade: Some preliminary implications, OECD Trade Policy Papers, No. 260, OECD Publishing, Paris, https://doi.org/10.1787/13212d3e-en
  • Ferreira, F. G., Gandomi, A. H. And Cardoso, R. T. (2021). Artificial Intelligence Applied To Stock Market Trading: A Review. IEEE Access, 9, (pp. 30898-30917). https://doi.org/10.1109/ACCESS.2021.3058133
  • Goldfarb, A. and Trefler D. (2018), The Economics of Artificial Intelligence: An Agenda. University of Chicago Press, 19. https://www.nber.org/books-and-chapters/economics-artificial-intelligence-agenda/artificial- intelligence-and-international-trade.
  • Gonzalez, R. C., & Woods, R. E. (2018). Digital image processing (4th ed.). India: Pearson.
  • Goodfellow, I., Bengio, Y., and Courville, A. (2016). Deep learning. Cambridge: The MIT Press.
  • Goti, A., Querejeta-Lomas, L., Almeida, A., De La Puerta, J. G. And López-De-Ipiña, D. (2023). Artificial Intelligence In Business-To-Customer Fashion Retail: A Literature Review. Mathematics, 11, 2943. https://doi.org/10.3390/math11132943
  • Gupta, V. And Kumar, E. (2021). Review On Machine Learning Techniques For International Trade Trends Prediction. In 3rd International Conference On Advances In Computing, Communication Control And Networking, 2021. IEEE, (pp. 544-547). https://doi.org/10.1109/ICAC3N53548.2021.9725585
  • Hasan, A. R. (2021). Artificial Intelligence (AI) In Accounting And Auditing: A Literature Review. Open Journal Of Business And Management, 10, 440-465. https://doi.org/10.4236/ojbm.2022.101026
  • Hidayat, M., Defitri, S. Y. And Hilman, H. (2024). The Impact Of Artificial Intelligence (AI) On Financial Management. Management Studies And Business Journal (Productivity), 1, 123-129. https://doi.org/10.62207/s298rx18
  • Israhadi, E. I. (2023). Study Of International Trade Law In The Era Of Industrial Revolution 5.0. Russian Law Journal, 11, (pp. 2478-2488).
  • Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M. And Kuusk, A. (2023). Artificial Intelligence For Industry 4.0: Systematic Review Of Applications, Challenges, And Opportunities. Expert Systems With Applications, 216, 119456. https://doi.org/10.1016/j.eswa.2022.119456
  • Jayathilaka, U. R. (2022). The Role Of Artificial Intelligence In Accelerating International Trade: Evidence From Panel Data Analysis. Reviews Of Contemporary Business Analytics, 5, 1-15. https://orcid.org/0000-0002-1682- 9812
  • Jones, E. (2023). Digital Disruption: Artificial Intelligence And International Trade Policy. Oxford Review Of Economic Policy, 39, (pp. 70-84). https://doi.org/10.1093/oxrep/grac049
  • Jurafsky, D., & Martin, J. H. (2023). Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition (3rd ed.). Prentice Hall. https://web.stanford.edu/~jurafsky/slp3/
  • Kouka, M. And Magallanes, M. C. (2022). Technological Trivergence And International Trade: A Literature Review. Researchgate. https://www.researchgate.net
  • Mackenzie, D. (2018). Machine learning. In M. Ananny, J. Crawford, & M. Whittaker (Eds.), AI Now 2018 Report (pp. 6–9). AI Now Institute. https://ainowinstitute.org/AI_Now_2018_Report.pdf
  • Meltzer, J. P. (2024). The Impact Of Foundational AI On International Trade, Services And Supply Chains In Asia. Asian Economic Policy Review, 19, 129–147. https://doi.org/10.1111/aepr.12451
  • Nishant, R., Kennedy, M. And Corbett, J. (2020). Artificial Intelligence For Sustainability: Challenges, Opportunities, And A Research Agenda. International Journal Of Information Management, 53, 102104. https://doi.org/10.1016/j.ijinfomgt.2020.102104
  • OpenAI. (2023). Gpt-4 Technical Report. https://cdn.openai.com/papers/gpt-4.pdf
  • OpenAI. (2024). Yapay Zekanın Uluslararası Ticaretin Geleceğine Etkisi Available: https://www.chat.openai.com [Accessed 25.02.2024].
  • Paschen, J., Wilson, M. And Ferreira, J. J. (2020). Collaborative Intelligence: How Human And Artificial Intelligence Create Value Along The B2B Sales Funnel. Business Horizons, 63, 403-414. https://doi.org/10.1016/j.bushor.2020.01.003
  • Qi, B., Shen, Y. And Xu, T. (2023). An Artificial-Intelligence-Enabled Sustainable Supply Chain Model For B2C E- Commerce Business In The International Trade. Technological Forecasting And Social Change, 191, 122491. https://doi.org/10.1016/j.techfore.2023.122491
  • Savinov, Y. A. And Taranovskaja, E. V. (2020). Artificial Intelligence In International Trade. Russian Foreign Economic Journal, 4 (pp. 58-71. https://doi.org/10.1016/j.techfore.2023.122491
  • Sestino, A. And De Mauro, A. (2022). Leveraging Artificial Intelligence In Business: Implications, Applications And Methods. Technology Analysis And Strategic Management, 34, (pp. 16-29). https://doi.org/10.1080/09537325.2021.1883583
  • Shubailat, O., Al-Zaqeba, M., Madi, A. And Ababneh, A. (2024). Customs Intelligence And Risk Management In Sustainable Supply Chain For General Customs Department Logistics. Uncertain Supply Chain Management, 12, (pp. 387-398). https://doi.org/10.5267/j.uscm.2023.9.013
  • Trefler, D. And Sun, R. (2022). AI, Trade And Creative Destruction: A First Look. National Bureau Of Economic Research Working Paper 29980. https://doi.org/10.3386/w29980
  • Tüfenk, M. B. (2023). Dış Ticaretin Dijital Dönüşümü: Yapay Zeka Teknoloji. Uluslararası Ticaret Ve Ekonomi Araştırmaları Dergisi, 7, (pp. 13-18). https://doi.org/10.30711/utead.1265960
  • Vlačić, B., Corbo, L., E Silva, S. C. And Dabić, M. (2021). The Evolving Role Of Artificial Intelligence In Marketing: A Review And Research Agenda. Journal Of Business Research, 128, (pp. 187-203). https://doi.org/10.1016/j.jbusres.2021.01.055
  • Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A. And Trichina, E. (2022). Artificial Intelligence, Robotics, Advanced Technologies And Human Resource Management: A Systematic Review. Malik, A., & Budhwar, P. (Eds.) In The International Journal Of Human Resource Management, 33, (pp. 1237-1266). Routledge. https://doi.org/10.4324/9781003377085
  • WCO/WTO (2022). WCO/WTO Study Report On Disruptive Technologies. https://www.wto.org/english/res_e/booksp_e/wco-wto_e.pdf
  • Yan, N. (2023). Construction of International Trade and Investment Platform Based on Artificial Intelligence Technology. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns.2023.2.01694
Toplam 49 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İthalat İhracat Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Umut Yavuz 0000-0003-3681-704X

Ali Şükrü Çetinkaya 0000-0001-8815-7165

Gönderilme Tarihi 17 Ekim 2024
Kabul Tarihi 26 Kasım 2025
Yayımlanma Tarihi 25 Aralık 2025
DOI https://doi.org/10.18493/kmusekad.1566501
IZ https://izlik.org/JA36PK88GK
Yayımlandığı Sayı Yıl 2025 Cilt: 27 Sayı: 50

Kaynak Göster

APA Yavuz, U., & Çetinkaya, A. Ş. (2025). AN OVERVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN INTERNATIONAL TRADE. Karamanoğlu Mehmetbey Üniversitesi Sosyal Ve Ekonomik Araştırmalar Dergisi, 27(50), 1385-1402. https://doi.org/10.18493/kmusekad.1566501

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