Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2020 / Cilt: 38 - Sayı: 2

SELECTION OF SOCKS EXPORT MARKETS FOR TURKEY USING MULTI-CRITERIA DECISION MAKING METHODS

Sayfa
795–815
Yayın Tarihi
2021-06-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results are compared to select the best export market for the Turkish socks industry.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Export provides foreign exchange inflow and reduces unemployment and is, therefore, an important field of economic activity promoted by every country.
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Temel Bulgular & Veri:Turkey is the sixth-largest exporter in the socks industry, which is a strategic export product.
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Sonuç & Katkı:The results are compared to select the best export market for the Turkish socks industry.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:2014-2018 Verileri
⚙️Değişkenler:Socks export · market selection · TOPSIS

Abstract

Export provides foreign exchange inflow and reduces unemployment and is, therefore, an important field of economic activity promoted by every country. Turkey is the sixth-largest exporter in the socks industry, which is a strategic export product. In this context, it wants to take first place by increasing its export volume. For this, it must choose the markets which will export well. However, there are many criteria that are effective in selecting the export market place and are independent of exporting countries. It is beneficial to use multi-criteria decision-making (MCDM) methods in the solution of such problems. The aim of this study is to select the most suitable export market to increase Turkey’s socks export volume. Firstly, a survey of export market selection criteria is developed based on a literature review. The survey is completed by export specialists of socks exporting companies in Turkey to determine the most important criteria in the selection of socks export markets. Afterward, between 2014-2018 criterion data of the top 11 countries accounting for 70 percent of the world's total socks imports are derived from the Trade Map Database. 2020 values were obtained using regression analysis. TOPSIS (Technique for Order-Preference by Similarity to Ideal Solution), GRA (Grey Relational Analysis) and ANP (Analytical Network Process) methods are used to evaluate the alternative socks export markets. Sensitivity analysis is performed using TOPSIS, GRA and ANP data. The results are compared to select the best export market for the Turkish socks industry.

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Bu Makaleye Atıf Yap

YILDIZ, A., ÖZBEK, A. (2021). SELECTION OF SOCKS EXPORT MARKETS FOR TURKEY USING MULTI-CRITERIA DECISION MAKING METHODS. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 38 - Sayı: 2, 795–815. https://ajindex.com/articles/418953

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Kaynakça (12)

  1. Akgün, İ., & Erdal, H. (2019). Solving an ammunition distribution network design problem using multi-objective mathematical modeling, combined AHP-TOPSIS, and GIS. Computers & Industrial Engineering, 129, 512-528
  2. Anand, G., Alagumurthi, N., Elansezhian, R., Palanikumar, K., & Venkateshwaran, N. (2018). Investigation of drilling parameters on hybrid polymer composites using grey relational analysis, regression, fuzzy logic, and ANN models. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(4), 214
  3. Azar, G. (2014). Food culture distance as a predictor of foreign market selection: the case of Swedish food exporters. Journal of Food Products Marketing, 20(1), 75-97
  4. Baranitharan, P., Ramesh, K., & Sakthivel, R. (2019). Multi-attribute decision-making approach for Aegle marmelos pyrolysis process using TOPSIS and Grey Relational Analysis: Assessment of engine emissions through novel Infrared thermography. Journal of Cleaner Production, 234 (2019) 315-328
  5. Cano, J., Campo, E., & Gómez-Montoya, R. (2017). International market selection using fuzzy weighing and Monte Carlo simulation. Polish Journal of Management Studies, 6(2), 40-49
  6. Chen, P. (2019). Effects of normalization on the entropy-based TOPSIS method. Expert Systems with Applications, 136(1),33-41
  7. Cheng, H. L., & Huang, M. C. (2019). The trade-off between institutionally proximal and distal markets: The impact of home market pressures on firms’ export market selection. Industrial Marketing Management, 76, 98-108
  8. Chou, C. C. (2018). Application of ANP to the selection of shipping registry: the case of Taiwanese maritime industry. International Journal of Industrial Ergonomics, 67, 89-97. [9] e Silva, S. C., Meneses, R., & Radomska, J. (2018). A Holistic Perspective on the International Market Selection Phenomenon. JEEMS Journal of East European Management Studies, 23(4), 579-602
  9. Farias Aires, R. F., & Ferreira, L. (2019). A new approach to avoid rank reversal cases in the TOPSIS method. Computers & Industrial Engineering, 132, 84-97
  10. Farzipoor Saen, R. (2011). International market selection using advanced data envelopment analysis. IMA Journal of Management Mathematics, 22(4), 371-386
  11. Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision-making methods and applications. Heideberg: Springer
  12. International Trade Center, (2019), Export, Import and Tariff, https://www.trademap.org/Index.aspx, Accessed: 24.04.2019. [14]