Aktepe, Cemalettin; İzgi, Fatma

Artificial intelligence is having an increasingly significant impact on the functioning of international trade, productivity dynamics, and policy processes today. This study examined the role of artificial intelligence applications in international trade and identified research trends in the field using a bibliometric approach. The study analyzed 146 articles published between 1981 and 2025, using the keywords ‘international trade’ and ‘artificial intelligence applications’ in the Web of Science database on 4 September 2025. Subject areas and document types were considered during the search process; publication trends, collaborations between countries and institutions, the most-cited studies, and keyword networks were evaluated using VOSviewer. The findings show that academic output in the fields of artificial intelligence and international trade has increased rapidly, particularly since 2018, with 2024 exhibiting the highest publication volume. It was found that most studies were concentrated in the field of Business Economics. The analysis results clearly reveal that the United States, the United Kingdom, and China are leaders in both publication and citation counts. The original contribution of this study is that, unlike bibliometric studies commonly found in the literature that approach the relationship between ‘artificial intelligence and international trade’ from a general perspective, it addresses the subject from an international trade perspective, focusing on artificial intelligence applications. In this respect, the study provides a more targeted contribution to the field by revealing both the direction of development in the literature and the application areas in which artificial intelligence is concentrated in trade processes.

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Aktepe, Cemalettin; İzgi, Fatma

The defense industry has recently received attention due to its significant advancements. This study examines the impact of the COVID-19 pandemic on the financial performance of companies operating in the Turkish defense sector. The financial data from 2019 to 2023 of defense industry firms listed on Borsa Istanbul, namely ASELS, OTKAR, PAPIL, SDTTR, NETAŞ, and KATMER, were analyzed. The primary objective of this research is to evaluate the financial performance of these companies during the pandemic by comparing it with the pre-pandemic period. In this context, eight financial ratios related to liquidity, turnover, financial structure, and profitability were utilized to assess financial performance. The criteria weights were determined using the Entropy method, and the performance rankings of the companies were established through Multi-Criteria Decision Making (MCDM) techniques, including TOPSIS, EDAS, and CoCoSo. This study offers a novel perspective by examining the effects of the COVID-19 pandemic on Turkish defense industry firms and uncovering their financial performance in comparison to previous periods. According to the results of the entropy method, the most significant criteria for evaluating the financial performance of companies listed on Borsa Istanbul (BİST) are Active Profitability Ratio (APR) and Equity Profitability Ratio (EPR). In the year 2020, which was significantly impacted by the pandemic, companies with strong financial performance included ASELS, PAPIL, SDTTR, and NETAŞ. Conversely, KATMER was identified as one of the companies with weaker financial performance during the same period.

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