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Now showing 1 - 5 of 6
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    Analysis of Logistical Processes in Honey Export from Türkiye to Europe
    (Turkish Science and Technology Publishing (TURSTEP), 2025-11) Sönmezay, Mine; 409821
    The study examines the logistical challenges faced in exporting honey from Türkiye to Europe, emphasizing their significance for export performance and sectoral competitiveness. Although Türkiye benefits from a strategic geographical position and a developed land–sea transport network, several constraints continue to impede efficient market access. High transportation costs, prolonged certification and analysis procedures, and lengthy customs and border passage times collectively reduce operational efficiency and diminish firms’ profitability. Using semi-structured in-depth interviews with 13 honey-exporting firms selected through convenience sampling, the research captures exporters’ practical experiences and identifies the critical pain points in the logistics chain. Findings indicate that maritime and multimodal transport are the predominant shipping methods, with glass jars preferred for their market appeal, while cold chain applications remain limited and are used only in exceptional circumstances. The most critical bottlenecks involve extended certification processes and waiting times at customs, both of which significantly increase costs and delay deliveries. Based on these insights, the study highlights the need for digitalization initiatives, targeted investments in logistical infrastructure, and streamlined certification procedures to enhance the efficiency of honey exports to Europe. Implementing such improvements is expected to reduce costs, accelerate processes, and strengthen the competitiveness of Türkiye’s honey sector in European markets.
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    The Impact of Digital Transformation on International Trade
    (Yüksekbilgili Eğitim ve Danışmanlık Ltd. Şti., 2025-02) Sönmezay, Mine; 409821
    The digital transformation tools improve the internal management of enterprises and contributes to their basic business performance. Studies have shown that as a result of the correct adaptation of innovative technologies, more efficient results have begun to be obtained in all procesgeneral business processes. The aim of this research is to contribute to the literature by exploring the advantages and disadvantages of the application of digital technologies and by revealing the issues that entrepreneurs and academics who want to digitalize in international trade should consider in their studies. A qualitative research method was used in the research and the results obtained from the studies in the relevant literature and the effects of this transformation on international trade were compiled. There is a consensus in the literature that the use of blockchain, artificial intelligence and internet of things applications in international trade will increase the costs of businesses. However, in addition to its many positive effects, it has also been stated that international standards should be established in the use of these technologies. The theoretical importance of this study lies in the fact that no study has been found on the application of digital transformation tools such as blockchain, AI and IoT to international trade.
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    Food nationalism, price and fraud in imported agricultural product preference
    (Tarım Ekonomisi Derneği, 2025-11) Sönmezay, Mine; 409821
    Purpose: This study investigates how food nationalism, adulteration perception and perceived price shape Turkish consumers’ attitudes and purchase intentions toward imported agricultural foods. Design/methodology/approach: Using an online survey, data from 213 adults were analysed with partial least squares structural equation modelling (PLS-SEM). Findings: The strongest relationship in the model is that perceived price positively affects attitude towards imported products (β = 0.771, p < 0.001). Food nationalism variable significantly but weakly negatively affected attitude (β = –0.103, p = 0.023). No significant relationship was found between perception of adulteration and attitude (β = –0.060, p = 0.221). The effect of attitude on purchase intention is significant and negative (β = –0.377, p < 0.001). The purchase intention scale is reverse scored; therefore, a negative coefficient actually indicates a positive behavioral intention. The explanatory power of the model is high for attitude (R² = 0.65) and weak for purchase intention (R² = 0.142). Research limitations/Implications: Convenience sampling and online collection restrict generalisability; future studies should adopt probability sampling, broader demographics and mixed methods. Adding perceived quality, brand image and health concerns may enhance explanatory power. Social implications: Marketers should highlight quality rather than engage solely in price competition, while policymakers can bolster consumer welfare through price-advantage regulations. Originality/Value: By integrating food nationalism, adulteration perception and price perception into a single structural model, this research provides a holistic, empirically validated framework that advances understanding of imported-food choice drivers in an emerging economy.
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    An Ardl Model Analysis Of Turkish Airlines’ Impact As A Carrier Power On Türkiye–Africa Trade Volume
    (Dokuz Eylul University, 2025-09) Sönmezay, Mine; 409821
    Türkiye has increased its presence in the continent by using transportation diplomacy as an effective tool within the scope of the African opening policy that it has initiated since the early 2000s. This study examines Türkiye’s economic power projection in Africa through transportation diplomacy. In the study, economic power projection through diplomacy is considered as a theoretical framework; the connections between Türkiye’s transportation infrastructure investments in Africa, the expansion of its flag carrier airline network and the increase in its trade relations are analyzed with quantitative data. In the study, time series analyses are conducted on Turkish Airlines (THY) data and Türkiye-Africa foreign trade volume. The analysis was carried out with annual data for the period 2001–2024. Before proceeding to model construction, the stationarity levels of the series were examined, then the ARDL (Autoregressive Distributed Lag) method was applied and diagnostic tests of the model were performed. In the last stage, Granger causality analysis was performed. The results show that trade volume, transportation capacity and destination network act together in a long-term relationship in Türkiye’s transportation-based economic engagement towards Africa. This situation shows that the expansion of transportation infrastructure supports the trade volume between the two countries. These findings reveal that transportation diplomacy is positioned not only as a supportive but also as a guiding and sustainable foreign policy tool in Türkiye’s economic interaction with the African continent. The sustainability of this policy, its institutionalization and concrete suggestions for policy makers are discussed in the conclusion section; strategic initiatives are suggested for Türkiye to become a more permanent and effective actor in Africa in line with its mediumsized power profile. The results show that THY’s passenger transportation capacity positively affects the trade volume in the short and long term.
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    Tax Transparency, Knowledge and Awareness Dynamics in Cross-Border E-Commerce: The Case of Türkiye
    (Muhasebe ve Finansman Öğretim Üyeleri Bilim ve Araştırma Derneği, 2025-08) Sönmezay, Mine; 409821
    With digitalized trade, consumers encounter various tax liabilities in their purchases from different countries; this situation directly affects their decisions. This research aims to examine the tax factors affecting consumer behavior in the digitalizing global trade environment from a holistic perspective. In particular, the effects of tax-related knowledge level, awareness and transaction transparency perceptions on purchasing decisions in cross-border e-commerce were evaluated. Data were collected via an online survey with convenience sampling method between June 5–15, 2025 and analyzed with structural equation modeling (SEM). The findings revealed that only the Perceived Transaction Transparency variable had a significant and high level of effect on purchasing behavior. On the other hand, the direct effects of Tax Knowledge Level and Tax Awareness and Perception were not found to be statistically significant. This result suggests that the clarity and accessibility of tax-related information is more influential on consumer behavior than its mere presence.