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Dış Ticaret Firmalarının Hedef Pazar Seçim Kriterlerinin Aralık Değerli Pisagor Bulanık AHP Yöntemi ile Değerlendirilmesi: Otomotiv Sektöründe Bir Uygulama

Year 2024, Volume: 31 Issue: 4, 805 - 822, 21.12.2024

Abstract

Bu araştırmada, otomotiv sektöründe faaliyet gösteren dış ticaret firmalarının hedef pazar seçim kriterlerinin değerlendirilmesi amaçlanmaktadır. Bu amaca yönelik olarak, Türkiye’de büyük ölçekli bir otomotiv firmasında çalışan üç uzmandan görüş alınarak otomotiv sektörü için uluslararası hedef pazar seçim kriterleri belirlenmiştir. Pazarın büyüklüğü, vergi kanunları, gümrük vergileri, pazara girişteki engeller, ülkenin ithalat büyüklüğü, güvenlik, siyasi gelişmeler, işçilik giderleri, kira giderleri ve nakliye giderleri kriterlerine yönelik ikili karşılaştırma matrisleri uzmanlar tarafından doldurulmuştur. Karşılaştırma matrislerinden elde edilen veriler Aralık Değerli Pisagor Bulanık AHP yöntemi ile analiz edilmiştir. Analiz sonucunda, en yüksek önem derecesine sahip olan kriterin pazarın büyüklüğü, en düşük önem derecesine sahip kriterin ise kira giderleri olduğu tespit edilmiştir.
Anahtar Kelimeler: Otomotiv Sektörü, Uluslararası Hedef Pazar Seçim Kriterleri, Aralık Değerli Pisagor Bulanık AHP.
JEL Sınıflandırması: C44, M1, M31

References

  • Aghdaie, M. H., & Alimardani, M. (2015). Target market selection based on market segment evaluation: a multiple attribute decision making approach. International Journal of Operational Research, 24(3), 262-278.
  • Akargöl, İ., Karadağ, İ., & Gürcan, Ö. F. (2024). Selecting The Optimal E-Learning Platform for Universities: A Pythagorean Fuzzy AHP/TOPSIS Evaluation. The European Journal of Research and Development, 4(2), 19-34.
  • Akpınar, M. E., & Metin, I. (2023). International Target Market Selection Using Entropy and Multi-Moora Methods through a Case Study. Third Sector Social Economic Review, 58(1), 1-15.
  • Asakura, H. (2003). World history of the customs and tariffs. World Customs Organization.
  • Ayyıldız, E., & Taşkın Gümüş, A. (2021). Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0. Complex & Intelligent Systems, 7(1), 559-576.
  • Ayyıldız, E., Yıldız, A., Taşkın, A., & Özkan, C. (2023). An interval valued Pythagorean fuzzy AHP integrated quality function deployment methodology for hazelnut production in Turkey. Expert systems with applications, 231, 120708.
  • Baena-Rojas, J. J., Mackenzie-Torres, T. M., Cuesta-Giraldo, G., & Tabares, A. (2023). A hybrid multi-criteria decision-making technique for international market selection in SMEs. Polish Journal of Management Studies, 27, 26-45.
  • Bhat, S. A., Singh, A., & Qudaimi, A. A. (2021). A new pythagorean fuzzy analytic hierarchy process based on interval-valued pythagorean fuzzy numbers. Fuzzy Optimization and Modeling Journal, 2(4), 38-51. BM Dış Ticaret, 2024. İhracat İçin Hedef Pazar Seçimi: Hangi Faktörlere Dikkat Etmelisiniz? https://bmdisticaret.com/blog/hedef-pazar-secimi-nasil-yapilir/ (27.08.2024).
  • BM Dış Ticaret, (2022). Rusya-Ukrayna Savaşının Türkiye İhracatına Etkisi. https://bmdisticaret.com/blog/rusya-ukrayna-savasinin-ve-turkiye-ihracati/ (27.08.2024).
  • Coşkun, R., Kiriş, Z.N., & Tepe, S. (2019). A Fuzzy Based Marketing Performance Measurement Model With A Real Case Study. SOCIAL SCIENCES STUDIES JOURNAL (SSSJournal), 5(34), 2371-2387.
  • Çalık, A. (2020). Hedef pazar seçimi için hibrit BWM-ARAS karar verme modeli. Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 18(03), 196-210.
  • Çalık, A., Onifade, S. T., & Alola, A. A. (2023). Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach. Systems, 11(8), 396.
  • Çelik, P., & Akmermer, B. (2022). Target market selection for the major aquaculture products of Turkey-An evaluation on export markets by hybrid multi-criteria decision-making approach. Aquaculture Studies, 22(1).
  • Demirağ Çakıcı, E., & Yılmaz, K. G. (2021). Uluslararası pazarlarda hedef pazar seçimi üzerine bir araştırma. Sosyal, Beşeri ve İdari Bilimler Dergisi, 4(9), 833-849.
  • Du, Y., Hou, F., Zafar, W., Yu, Q., & Zhai, Y. (2017). A novel method for multiattribute decision making with interval‐valued Pythagorean fuzzy linguistic information. International Journal of Intelligent Systems, 32(10), 1085-1112.
  • Ece, N. J. (2022). Rusya-Ukrayna Savaşı’nın Dış Ticaret ve Küresel Güvenliğe Etkisi: Montrö Boğazlar Sözleşmesinin Savaşın Genişlemesinin Önlenmesine Katkısı. Kent Akademisi, 15(3), 1391-1412.
  • Erdebilli, B., Yilmaz, I., Aksoy, T., Hacıoglu, U., Yüksel, S., & Dinçer, H. (2023). An interval-valued pythagorean fuzzy AHP and COPRAS hybrid methods for the supplier selection problem. International Journal of Computational Intelligence Systems, 16(1), 124.
  • Erdoğan, N. K., Onay, A., & Karamaşa, Ç. (2019). Measuring the performance of retailer firms listed in BIST under the balanced scorecard perspective by using interval valued Pythagorean Fuzzy AHP based Pythagorean Fuzzy TODIM Methodology. Alphanumeric Journal, 7(2), 333-350.
  • Fidan, H. (2021). CRITIC ve MAIRCA çok kriterli karar verme yöntemi ile uluslararası hedef pazar seçimi. Karamanoğlu Mehmetbey Üniversitesi Sosyal ve Ekonomik Araştırmalar Dergisi, 23(41), 291-309.
  • Gallego, I., González-Rodríguez, M. R., & Font, X. (2023). A multi-criteria, composite index methodology to measure the suitability of target markets for the hotel industry. Tourism management perspectives, 47, 101104.
  • Garg, H. (2017). A novel improved accuracy function for interval valued Pythagorean fuzzy sets and its applications in the decision‐making process. International Journal of Intelligent Systems, 32(12), 1247-1260.
  • He, X., & Wei, Y. (2011). Linking market orientation to international market selection and international performance. International Business Review, 20(5), 535-546.
  • İlbahar, E., & Kahraman, C. (2018). Retail store performance measurement using a novel interval-valued Pythagorean fuzzy WASPAS method. Journal of Intelligent & Fuzzy Systems, 35(3), 3835-3846.
  • İlbahar, E., Karaşan, A., Çebi, S., & Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety science, 103, 124-136.
  • Işık, Ö., Çalık, A., & Shabir, M. (2024). A Consolidated MCDM Framework for Overall Performance Assessment of Listed Insurance Companies Based on Ranking Strategies. Computational Economics, 1-42.
  • İnançlı, S., & Konak, A. (2011). Türkiye’de ihracatın ithalata bağımlılığı: otomotiv sektörü. Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 6(2), 343-62.
  • Karakaya, F., & Stahl, M. J. (1989). Barriers to entry and market entry decisions in consumer and industrial goods markets. Journal of marketing, 53(2), 80-91.
  • Kayıhan, B. (2023). TMS 19 Çalışanlara Sağlanan Faydalar Standardına Göre İşçilik Giderleri ve Maliyet Muhasebesi Uygulamalarına Etkisi. Sosyal ve Beşeri Bilimler Araştırmaları Dergisi, 24(53), 126-147.
  • Köse, Y., Civan, H. N., Ayyıldız, E., & Cevikcan, E. (2022). An Interval Valued Pythagorean Fuzzy AHP–TOPSIS Integrated Model for Ergonomic Assessment of Setup Process under SMED. Sustainability, 14(21), 13804.
  • Liu, Y., Qin, Y., & Han, Y. (2017). Multiple criteria decision making with probabilities in interval-valued Pythagorean fuzzy setting. International Journal of Fuzzy Systems, 20, 558-571.
  • Milošević, M. R., Milošević, D. M., Stević, D. M., & Kovačević, M. (2023). Interval valued Pythagorean fuzzy AHP integrated model in a smartness assessment framework of buildings. Axioms, 12(3), 286.
  • Mobin, M., Dehghanimohammadabadi, M., & Salmon, C. (2014). Food product target market prioritization using MCDM approaches. In Proc. of the 2014 Industrial and Systems Engineering Research Conference (ISERC), Montreal, Canada.
  • ODS Danışmanlık, (2024). Otomotiv Sektörüne Yönelik Yatırım Teşvikleri ve Genel Destekler. https://odsdanismanlik.com/tr/makaleler/otomotiv-sektorune-yonelik-yatirim-tesvikleri-ve-genel-destekler/ (29.08.2024).
  • Otomotiv Sanayi Derneği, (2024). https://www.osd.org.tr/haberler/162 (12.03.2024).
  • Palaz, H., & Kovancı, A. (2008), “Türk Denı̇z Kuvvetlerı̇ Denı̇ zaltilarinin Seçı̇ lı̇ mı̇ n AHP ı̇le Değerlendı̇rı̇lmesı̇”, Journal of Aeronautics and Space Technologies, 3(3), 53-60.
  • Pazara Giriş Engelleri Raporu, (2016). https://baib.gov.tr/files/downloads/PageFiles/be7cbb8d-c1c2-433d-aa87-24531379923f/Files/pazara%20giris%20engelleri%20raporu.pdf (27.08.2024).
  • Pehrsson, A. (2009). Barriers to entry and market strategy: a literature review and a proposed model. European Business Review, 21(1), 64-77.
  • Peng, X., & Yang, Y. (2015). Fundamental properties of interval‐valued Pythagorean fuzzy aggregation operators. International journal of intelligent systems, 31(5), 444-487.
  • Porter, M. E. (1980). Industry structure and competitive strategy: Keys to profitability. Financial analysts journal, 36(4), 30-41.
  • Rahman, K., Abdullah, S., Shakeel, M., Ali Khan, M. S., & Ullah, M. (2017). Interval-valued Pythagorean fuzzy geometric aggregation operators and their application to group decision making problem. Cogent Mathematics, 4(1), 1338638.
  • Saaty, T. L. (1988). What is the Analytic Hierarchy Process? Mathematical Models for Decision Support, 109–121.
  • Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP). Journal of systems science and systems engineering, 13, 1-35.
  • Shepherd, W. (1979). The Economics of Industrial Organization, Prentice-Hall, Englewood Cliffs, NJ.
  • Singer, H., & Özşahin, Ş. (2023). Applying an interval-valued Pythagorean fuzzy analytic hierarchy process to rank factors influencing wooden outdoor furniture selection. Wood Material Science & Engineering, 18(1), 322-333.
  • Sukoroto, S., Haryono, S., & Kharısma, B. (2020). Target market selection using MCDM approach: A study of rolling stock Manufacturer. Journal of Distribution Science, 18(7), 63-72.
  • Şahin, M. (2019). Günümüz Ticaret Savaşlarında Gümrük Vergilerinin Yeri ve Önemi. Financial Analysis/Mali Cozum Dergisi, 29(152).
  • Tanyılmaz, K., & Erten, A. N. (2001). Dünyada ve Türkiye’de otomotiv sektörü. Birleşik Metal-İş Yayınları.
  • T.C. Cumhurbaşkanlığı Yatırım Ofisi, (2018). https://www.vergidegundem.com/files/ebooks/2019/feb/oto/files/downloads/EY-Ispat-2019.pdf (27.08.2024).
  • T.C. Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı, (2023). https://www.sbb.gov.tr/wp-content/uploads/2023/12/On-Ikinci-Kalkinma-Plani_2024-2028_11122023.pdf (27.08.2024).
  • T.C. Ticaret Bakanlığı, (2024). Otomotiv Endüstrisi. https://ticaret.gov.tr/data/5b87000813b8761450e18d7b/OTOMOT%C4%B0V%20SEKT%C3%96R%20RAPORU.pdf (12.03.2024).
  • Türkiye İstatistik Kurumu (2024). Dış Ticaret İstatistikleri. https://data.tuik.gov.tr/Bulten/Index?p=Dis-Ticaret-Istatistikleri-Ocak-2024-53534 (12.03.2024).
  • Ünal, Z., & İpekçi Çetin, E. (2019). Gübre üreticisinin hedef pazar seçiminde bütünleşik AHP-TOPSIS yöntemi. Mediterranean Agricultural Sciences, 32(3), 357-364.
  • Vanegas-López, J. G., Baena-Rojas, J. J., López-Cadavid, D. A., & Mathew, M. (2021). International market selection: an application of hybrid multi-criteria decision-making technique in the textile sector. Review of International Business and Strategy, 31(1), 127-150.
  • Yager, R. R. (2013). Pythagorean membership grades in multicriteria decision making. IEEE Transactions on fuzzy systems, 22(4), 958-965.
  • Yalçın, S. (2024). IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers. Turkish Journal of Engineering, 8(2), 235-253.
  • Yalçınkaya, I., & Çebi, S. (2023). Interval-Valued Pythagorean Fuzzy AHP: Evaluation of Pharmaceutical Supply Chain. In Analytic Hierarchy Process with Fuzzy Sets Extensions: Applications and Discussions (pp. 249-272). Cham: Springer International Publishing.
  • Yaman, K., & Akyıldız, M. H. (2008). Kastamonu’da yetişen bazı odun dışı orman ürünlerinin toplama, işleme ve pazarlama maliyetleri. Kastamonu University Journal of Forestry Faculty, 8(1), 26-36.
  • Yeşilkaya, M., & Çabuk, Y. (2023). A hybrid mathematical model for international target market decision: the case of fibreboard industry. Wood Material Science & Engineering, 18(6), 2013-2028.
  • Zadeh, L.A. (1965). Fuzzy Sets. Information and Control. 8, 338–353.

Evaluation of Target Market Selection Criteria of International Trade Companies with Interval-Valued Pythagorean Fuzzy AHP Method: An Application in the Automotive Sector

Year 2024, Volume: 31 Issue: 4, 805 - 822, 21.12.2024

Abstract

This research aims to evaluate the target market selection criteria of foreign trade companies operating in the automotive sector. For this purpose, international target market selection criteria for the automotive sector were determined by taking the opinions of three experts working in a large-scale automotive company in Türkiye. Pairwise comparison matrices were filled in by the experts for the criteria of market size, tax laws, customs duties, barriers to market entry, import size of the country, security, political developments, labor costs, rent costs and transportation costs. The data obtained from the comparison matrices were analyzed with the Interval-Valued Pythagorean Fuzzy AHP method. As a result of the analysis, it was determined that the criterion with the highest degree of importance was the market size, and the criterion with the lowest degree of importance was rent expenses.
Key Words: Automotive Sector, International Target Market Selection Criteria, Interval-Valued Pythagorean Fuzzy AHP.
JEL Classification: C44, M1, M31

References

  • Aghdaie, M. H., & Alimardani, M. (2015). Target market selection based on market segment evaluation: a multiple attribute decision making approach. International Journal of Operational Research, 24(3), 262-278.
  • Akargöl, İ., Karadağ, İ., & Gürcan, Ö. F. (2024). Selecting The Optimal E-Learning Platform for Universities: A Pythagorean Fuzzy AHP/TOPSIS Evaluation. The European Journal of Research and Development, 4(2), 19-34.
  • Akpınar, M. E., & Metin, I. (2023). International Target Market Selection Using Entropy and Multi-Moora Methods through a Case Study. Third Sector Social Economic Review, 58(1), 1-15.
  • Asakura, H. (2003). World history of the customs and tariffs. World Customs Organization.
  • Ayyıldız, E., & Taşkın Gümüş, A. (2021). Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0. Complex & Intelligent Systems, 7(1), 559-576.
  • Ayyıldız, E., Yıldız, A., Taşkın, A., & Özkan, C. (2023). An interval valued Pythagorean fuzzy AHP integrated quality function deployment methodology for hazelnut production in Turkey. Expert systems with applications, 231, 120708.
  • Baena-Rojas, J. J., Mackenzie-Torres, T. M., Cuesta-Giraldo, G., & Tabares, A. (2023). A hybrid multi-criteria decision-making technique for international market selection in SMEs. Polish Journal of Management Studies, 27, 26-45.
  • Bhat, S. A., Singh, A., & Qudaimi, A. A. (2021). A new pythagorean fuzzy analytic hierarchy process based on interval-valued pythagorean fuzzy numbers. Fuzzy Optimization and Modeling Journal, 2(4), 38-51. BM Dış Ticaret, 2024. İhracat İçin Hedef Pazar Seçimi: Hangi Faktörlere Dikkat Etmelisiniz? https://bmdisticaret.com/blog/hedef-pazar-secimi-nasil-yapilir/ (27.08.2024).
  • BM Dış Ticaret, (2022). Rusya-Ukrayna Savaşının Türkiye İhracatına Etkisi. https://bmdisticaret.com/blog/rusya-ukrayna-savasinin-ve-turkiye-ihracati/ (27.08.2024).
  • Coşkun, R., Kiriş, Z.N., & Tepe, S. (2019). A Fuzzy Based Marketing Performance Measurement Model With A Real Case Study. SOCIAL SCIENCES STUDIES JOURNAL (SSSJournal), 5(34), 2371-2387.
  • Çalık, A. (2020). Hedef pazar seçimi için hibrit BWM-ARAS karar verme modeli. Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 18(03), 196-210.
  • Çalık, A., Onifade, S. T., & Alola, A. A. (2023). Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach. Systems, 11(8), 396.
  • Çelik, P., & Akmermer, B. (2022). Target market selection for the major aquaculture products of Turkey-An evaluation on export markets by hybrid multi-criteria decision-making approach. Aquaculture Studies, 22(1).
  • Demirağ Çakıcı, E., & Yılmaz, K. G. (2021). Uluslararası pazarlarda hedef pazar seçimi üzerine bir araştırma. Sosyal, Beşeri ve İdari Bilimler Dergisi, 4(9), 833-849.
  • Du, Y., Hou, F., Zafar, W., Yu, Q., & Zhai, Y. (2017). A novel method for multiattribute decision making with interval‐valued Pythagorean fuzzy linguistic information. International Journal of Intelligent Systems, 32(10), 1085-1112.
  • Ece, N. J. (2022). Rusya-Ukrayna Savaşı’nın Dış Ticaret ve Küresel Güvenliğe Etkisi: Montrö Boğazlar Sözleşmesinin Savaşın Genişlemesinin Önlenmesine Katkısı. Kent Akademisi, 15(3), 1391-1412.
  • Erdebilli, B., Yilmaz, I., Aksoy, T., Hacıoglu, U., Yüksel, S., & Dinçer, H. (2023). An interval-valued pythagorean fuzzy AHP and COPRAS hybrid methods for the supplier selection problem. International Journal of Computational Intelligence Systems, 16(1), 124.
  • Erdoğan, N. K., Onay, A., & Karamaşa, Ç. (2019). Measuring the performance of retailer firms listed in BIST under the balanced scorecard perspective by using interval valued Pythagorean Fuzzy AHP based Pythagorean Fuzzy TODIM Methodology. Alphanumeric Journal, 7(2), 333-350.
  • Fidan, H. (2021). CRITIC ve MAIRCA çok kriterli karar verme yöntemi ile uluslararası hedef pazar seçimi. Karamanoğlu Mehmetbey Üniversitesi Sosyal ve Ekonomik Araştırmalar Dergisi, 23(41), 291-309.
  • Gallego, I., González-Rodríguez, M. R., & Font, X. (2023). A multi-criteria, composite index methodology to measure the suitability of target markets for the hotel industry. Tourism management perspectives, 47, 101104.
  • Garg, H. (2017). A novel improved accuracy function for interval valued Pythagorean fuzzy sets and its applications in the decision‐making process. International Journal of Intelligent Systems, 32(12), 1247-1260.
  • He, X., & Wei, Y. (2011). Linking market orientation to international market selection and international performance. International Business Review, 20(5), 535-546.
  • İlbahar, E., & Kahraman, C. (2018). Retail store performance measurement using a novel interval-valued Pythagorean fuzzy WASPAS method. Journal of Intelligent & Fuzzy Systems, 35(3), 3835-3846.
  • İlbahar, E., Karaşan, A., Çebi, S., & Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety science, 103, 124-136.
  • Işık, Ö., Çalık, A., & Shabir, M. (2024). A Consolidated MCDM Framework for Overall Performance Assessment of Listed Insurance Companies Based on Ranking Strategies. Computational Economics, 1-42.
  • İnançlı, S., & Konak, A. (2011). Türkiye’de ihracatın ithalata bağımlılığı: otomotiv sektörü. Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 6(2), 343-62.
  • Karakaya, F., & Stahl, M. J. (1989). Barriers to entry and market entry decisions in consumer and industrial goods markets. Journal of marketing, 53(2), 80-91.
  • Kayıhan, B. (2023). TMS 19 Çalışanlara Sağlanan Faydalar Standardına Göre İşçilik Giderleri ve Maliyet Muhasebesi Uygulamalarına Etkisi. Sosyal ve Beşeri Bilimler Araştırmaları Dergisi, 24(53), 126-147.
  • Köse, Y., Civan, H. N., Ayyıldız, E., & Cevikcan, E. (2022). An Interval Valued Pythagorean Fuzzy AHP–TOPSIS Integrated Model for Ergonomic Assessment of Setup Process under SMED. Sustainability, 14(21), 13804.
  • Liu, Y., Qin, Y., & Han, Y. (2017). Multiple criteria decision making with probabilities in interval-valued Pythagorean fuzzy setting. International Journal of Fuzzy Systems, 20, 558-571.
  • Milošević, M. R., Milošević, D. M., Stević, D. M., & Kovačević, M. (2023). Interval valued Pythagorean fuzzy AHP integrated model in a smartness assessment framework of buildings. Axioms, 12(3), 286.
  • Mobin, M., Dehghanimohammadabadi, M., & Salmon, C. (2014). Food product target market prioritization using MCDM approaches. In Proc. of the 2014 Industrial and Systems Engineering Research Conference (ISERC), Montreal, Canada.
  • ODS Danışmanlık, (2024). Otomotiv Sektörüne Yönelik Yatırım Teşvikleri ve Genel Destekler. https://odsdanismanlik.com/tr/makaleler/otomotiv-sektorune-yonelik-yatirim-tesvikleri-ve-genel-destekler/ (29.08.2024).
  • Otomotiv Sanayi Derneği, (2024). https://www.osd.org.tr/haberler/162 (12.03.2024).
  • Palaz, H., & Kovancı, A. (2008), “Türk Denı̇z Kuvvetlerı̇ Denı̇ zaltilarinin Seçı̇ lı̇ mı̇ n AHP ı̇le Değerlendı̇rı̇lmesı̇”, Journal of Aeronautics and Space Technologies, 3(3), 53-60.
  • Pazara Giriş Engelleri Raporu, (2016). https://baib.gov.tr/files/downloads/PageFiles/be7cbb8d-c1c2-433d-aa87-24531379923f/Files/pazara%20giris%20engelleri%20raporu.pdf (27.08.2024).
  • Pehrsson, A. (2009). Barriers to entry and market strategy: a literature review and a proposed model. European Business Review, 21(1), 64-77.
  • Peng, X., & Yang, Y. (2015). Fundamental properties of interval‐valued Pythagorean fuzzy aggregation operators. International journal of intelligent systems, 31(5), 444-487.
  • Porter, M. E. (1980). Industry structure and competitive strategy: Keys to profitability. Financial analysts journal, 36(4), 30-41.
  • Rahman, K., Abdullah, S., Shakeel, M., Ali Khan, M. S., & Ullah, M. (2017). Interval-valued Pythagorean fuzzy geometric aggregation operators and their application to group decision making problem. Cogent Mathematics, 4(1), 1338638.
  • Saaty, T. L. (1988). What is the Analytic Hierarchy Process? Mathematical Models for Decision Support, 109–121.
  • Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP). Journal of systems science and systems engineering, 13, 1-35.
  • Shepherd, W. (1979). The Economics of Industrial Organization, Prentice-Hall, Englewood Cliffs, NJ.
  • Singer, H., & Özşahin, Ş. (2023). Applying an interval-valued Pythagorean fuzzy analytic hierarchy process to rank factors influencing wooden outdoor furniture selection. Wood Material Science & Engineering, 18(1), 322-333.
  • Sukoroto, S., Haryono, S., & Kharısma, B. (2020). Target market selection using MCDM approach: A study of rolling stock Manufacturer. Journal of Distribution Science, 18(7), 63-72.
  • Şahin, M. (2019). Günümüz Ticaret Savaşlarında Gümrük Vergilerinin Yeri ve Önemi. Financial Analysis/Mali Cozum Dergisi, 29(152).
  • Tanyılmaz, K., & Erten, A. N. (2001). Dünyada ve Türkiye’de otomotiv sektörü. Birleşik Metal-İş Yayınları.
  • T.C. Cumhurbaşkanlığı Yatırım Ofisi, (2018). https://www.vergidegundem.com/files/ebooks/2019/feb/oto/files/downloads/EY-Ispat-2019.pdf (27.08.2024).
  • T.C. Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı, (2023). https://www.sbb.gov.tr/wp-content/uploads/2023/12/On-Ikinci-Kalkinma-Plani_2024-2028_11122023.pdf (27.08.2024).
  • T.C. Ticaret Bakanlığı, (2024). Otomotiv Endüstrisi. https://ticaret.gov.tr/data/5b87000813b8761450e18d7b/OTOMOT%C4%B0V%20SEKT%C3%96R%20RAPORU.pdf (12.03.2024).
  • Türkiye İstatistik Kurumu (2024). Dış Ticaret İstatistikleri. https://data.tuik.gov.tr/Bulten/Index?p=Dis-Ticaret-Istatistikleri-Ocak-2024-53534 (12.03.2024).
  • Ünal, Z., & İpekçi Çetin, E. (2019). Gübre üreticisinin hedef pazar seçiminde bütünleşik AHP-TOPSIS yöntemi. Mediterranean Agricultural Sciences, 32(3), 357-364.
  • Vanegas-López, J. G., Baena-Rojas, J. J., López-Cadavid, D. A., & Mathew, M. (2021). International market selection: an application of hybrid multi-criteria decision-making technique in the textile sector. Review of International Business and Strategy, 31(1), 127-150.
  • Yager, R. R. (2013). Pythagorean membership grades in multicriteria decision making. IEEE Transactions on fuzzy systems, 22(4), 958-965.
  • Yalçın, S. (2024). IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers. Turkish Journal of Engineering, 8(2), 235-253.
  • Yalçınkaya, I., & Çebi, S. (2023). Interval-Valued Pythagorean Fuzzy AHP: Evaluation of Pharmaceutical Supply Chain. In Analytic Hierarchy Process with Fuzzy Sets Extensions: Applications and Discussions (pp. 249-272). Cham: Springer International Publishing.
  • Yaman, K., & Akyıldız, M. H. (2008). Kastamonu’da yetişen bazı odun dışı orman ürünlerinin toplama, işleme ve pazarlama maliyetleri. Kastamonu University Journal of Forestry Faculty, 8(1), 26-36.
  • Yeşilkaya, M., & Çabuk, Y. (2023). A hybrid mathematical model for international target market decision: the case of fibreboard industry. Wood Material Science & Engineering, 18(6), 2013-2028.
  • Zadeh, L.A. (1965). Fuzzy Sets. Information and Control. 8, 338–353.
There are 59 citations in total.

Details

Primary Language Turkish
Subjects Entrepreneurship
Journal Section Articles
Authors

İpek Gürsoy 0000-0002-6409-7177

Publication Date December 21, 2024
Submission Date April 15, 2024
Acceptance Date December 11, 2024
Published in Issue Year 2024 Volume: 31 Issue: 4

Cite

APA Gürsoy, İ. (2024). Dış Ticaret Firmalarının Hedef Pazar Seçim Kriterlerinin Aralık Değerli Pisagor Bulanık AHP Yöntemi ile Değerlendirilmesi: Otomotiv Sektöründe Bir Uygulama. Journal of Management and Economics, 31(4), 805-822.