Evaluation of potential alternative markets for dried apricot exports using the CAPMA technique: An application to Türkiye

Abstract

Purpose: This study aimed to evaluate the potential of new target markets for Türkiye's dried apricot exports. To this end, a novel approach was adopted, diverging from the conventional decision-making methodologies employed in the extant literature. Design/methodology/approach: In the course of this study, 20 alternative countries were identified according to the data obtained from the Trade Map, and these countries were considered target markets. The potential of these countries for Türkiye is discussed based on an analysis of secondary data from 2023. The data utilized in this study were obtained in 2024. Entropy and ARAS methods, which are multi-criteria decision-making methods (MCDM), and a new technique, the classification of potential market alternatives approach (CAPMA), were used in the process of evaluating potential markets. Findings: The findings indicate that Austria and China have the highest potential to increase dried apricot exports in dimension 1. In dimension 4, Hong Kong, Poland, India, the United Arab Emirates (UAE), the United States of America (USA), Russia and France were identified as countries in which the current export potential should be maintained. Originality/value: This study adopts an innovative approach to target market selection, diverging from conventional methods frequently used in the past. This study evaluates alternative markets in different dimensions and helps with the correct use of resources through the correct target market strategies. To the best of the author's knowledge, no previous studies have been conducted using multi-criteria decision-making methods on target market selection for dried apricots. Consequently, the present study has made a significant contribution to literature.

Keywords

• CAPMA
• dried apricots
• export analysis
• multi-criteria decision-making
• target market selection.

CAPMA tekniği kullanılarak kuru kayısı ihracatı için potansiyel alternatif pazarların değerlendirilmesi: Türkiye için bir uygulama

Abstract

Amaç: Bu çalışmanın amacı, Türkiye'nin kuru kayısı ihracatı için yeni hedef pazarların potansiyelini değerlendirmektir. Bu amaçla, mevcut literatürde kullanılan geleneksel karar verme metodolojilerinden farklı olarak yeni bir yaklaşım benimsenmiştir. Tasarım/Metodoloji/Yaklaşım: Çalışma sürecinde Trade Map’ten elde edilen verilere göre 20 alternatif ülke belirlenmiş ve bu ülkeler hedef pazarlar olarak kabul edilmiştir. Bu ülkelerin Türkiye için potansiyeli, 2023 yılına ait ikincil verilerin analizine dayalı olarak tartışılmıştır. Çalışmada kullanılan veriler 2024 yılında elde edilmiştir. Potansiyel pazarların değerlendirilmesi sürecinde Çok Kriterli Karar Verme Yöntemlerinden(ÇKKV) Entropi ve ARAS yöntemleri ile yeni bir teknik olan potansiyel pazar alternatiflerinin sınıflandırılması yaklaşımı (CAPMA) kullanılmıştır. Bulgular: Bulgular, Boyut 1'de Avusturya ve Çin'in kuru kayısı ihracatını artırmak için en yüksek potansiyele sahip olduğunu göstermektedir. Boyut 4'te Hong Kong, Polonya, Hindistan, Birleşik Arap Emirlikleri (BAE), Amerika Birleşik Devletleri (ABD), Rusya ve Fransa mevcut ihracat potansiyeli korunması gereken ülkeler olarak belirlenmiştir. Özgünlük/Değer: Bu çalışma, geçmişte sıklıkla kullanılan geleneksel yöntemlerden farklı olarak hedef pazar seçiminde yenilikçi bir yaklaşım benimsemektedir. Çalışma, alternatif pazarları farklı boyutlarda değerlendirmekte ve doğru hedef pazar stratejileri aracılığıyla kaynakların doğru kullanımına yardımcı olmaktadır. Literatür incelemesi neticesinde kuru kayısı için hedef pazar seçimi konusunda daha önce çalışma yapılmadığı görülmüştür. Sonuç olarak, mevcut çalışma literatüre önemli bir katkı sağlamıştır.

Keywords

• CAPMA
• kuru kayısı
• ihracat analizi
• çok kriterli karar verme
• hedef pazar seçimi.

References

1. Aghdaie, M.H., & Alimardani, M. (2015), Target market selection based on market segment evaluation: a multiple attribute decision making approach. Int. J. Operational Research, 24(3), pp.262–278. doi:10.1504/IJOR.2015.072231
2. Arnett, D.B. (2024), Market segmentation strategy, target markets, andcompetitors: a resource-advantage theory perspective. Journal of Marketıng Management, 40(13), pp.1269-1285. doi:10.1080/0267257X.2024.2391367
3. Aslantürk, B., Altuntas, E., & Öztürk, B. (2022), Effects of modified atmosphere packaging and methyl jasmonate treatments on fruit quality and bioactive compounds of apricot fruit during cold storage. Journal of Agricultural Sciences, 28(1), pp.71-82. doi: 10.15832/ankutbd.748453
4. Aydemir, M.F., & Alper, D. (2024), The Internationalization-Firm Performance Relationship: A Meta-Analysis for MNCs. Uluslararası Yönetim İktisat Ve İşletme Dergisi, 20(4), pp.896-926. doi:10.17130/ijmeb.1458989
5. Bakır, M. & Atalık, Ö. (2018), Entropi ve ARAS yöntemleriyle havayolu işletmelerinde hizmet kalitesinin değerlendirilmesi. Journal of Business Research, 10(1), pp.617-638. doi: 10.20491/isarder.2018.410
6. Baki, R. (2023), The evaluation of target markets for hazelnut exports with the classification approach of potential market alternatives. British Food Journal, 125(10), pp.3540-3552. doi: 10.1108/BFJ-02-2023-0100
7. Baki, R. (2024), Evaluating and classifying market alternatives using the CAPMA technique to assess potential export volume: an application for Turkey’s fig exports. British Food Journal, 126(8), pp.3301-3315. doi: 10.1108/BFJ-03-2024-0266
8. Bilican, E. (2001), Malatya İlinde Kuru Kayısı İhracatı ve Pazarlama Yapısı. Yüksek Lisans Tezi, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Konya.

9. Celik, P., & Akmermer, B. (2022), Target market selection for the major aquaculture products of türkiye-an evaluation on export markets by hybrid multi-criteria decision-making approach. Aquaculture Studies, 22(1), pp.1-11. doi: 10.4194/AQUAST691
10. Ecer, F. (2016), ARAS yöntemi kullanılarak kurumsal kaynak planlaması yazılımı seçimi. Uluslararası Alanya İşletme Fakültesi Dergisi, 8(1), pp.89-98. https://dergipark.org.tr/en/download/article-file/201870
11. Ercisli, S. (2009), Apricot culture in Turkey. Scientific Research and Essay, 4(8), pp.715-719. https://academicjournals.org/journal/SRE/article-full-text-pdf/9BD17CD19456
12. Fidan, H. (2021), CRITIC ve MAIRCA çok kriterli karar verme yöntemleri ile uluslararası hedef pazar seçimi. KMU Journal of Social and Economic Research, 23(41), pp.291-309. https://earsiv.kmu.edu.tr/xmlui/handle/11492/5831
13. Gallego, I., Gonzalez-Rodriguez, M.R., & Font, X. (2024), A multi-criteria, composite index methodology to measure the suitability of target markets for the hotel industry. Tourism Management Perspectives, 47, pp.1-12. doi: 10.1016/j.tmp.2023.101104
14. Gheibdoust, H., Gilaninia, S., & Taleghani, M. (2024), Identification and prioritization of the factors influencing service quality in the hotel industry by SWARA and ARAS methods during the COVID-19 pandemic. Journal of Quality Assurance in Hospitality and Tourism, 25(6), pp.1918-1940. doi: 10.1080/1528008X.2023.2209343
15. Göktaş, B., & Gültekin, E. (2024). Malatya ilinde kayısının pazarlama yapısı konusunda üreticiler üzerinde bir inceleme. The Journal of International Scientific Researches, 9(3), pp.173-196. doi: 10.23834/isrjournal.1481157
16. Hernani-Merino, M., Lazo, L.J.G., Talavera-López, A., Mazzon, J.A., & López-Tafur, G. (2021), An international market segmentation model based on susceptibility to global consumer culture. Cross Cultural & Strategic Management, 28(1), pp.108–128. doi: 10.1108/CCSM-04-2019-0081
17. Hayran, S., Dönmez, R., Karabacak, T., & Külekçi, M. (2023), The reduction of greenhouse gas emissions and energy optimization in apricot production in Turkey. Erwebs-Obstbau, 65(4), pp.1207-1216. doi: 10.1007/s10341-022-00767-7
18. International Trade Administration (2024), Harmonized System (HS) Codes, available at: https://www.trade.gov/harmonized-system-hs-codes (accessed: 8 October 2024).
19. Iglesias-Carres, L., Mas-Capdevila, A., Bravo, F.I., Blade, C., Arola-Arnal, A., & Muguerza, B. (2019), Optimization of extraction methods for characterization of phenolic compounds in apricot fruit (Prunus armeniaca). Food&Function, 10, pp.241-254. doi: 10.1039/C9FO00353C
20. Karacaoğlu, M., Keçeci, M., & Pamuk, D. (2024), An Investigation on The Side Effects of Some Pesticides Against The Predatory Insect Exochomus nigromaculatus (Coleoptera: Coccinellidae) Under Laboratory Conditions. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 27(1), pp.152-158. doi: 10.18016/ksutarimdoga.vi.1106007
21. Karatas, N. (2022), Evaluation of nutritional content in wild apricot fruits for sustainable apricot production. Sustainability, 14(3), pp.1-13. doi: 10.3390/su14031063
22. Khan, M.U., Kamal, T., & Gill, M. (2016), Influence of different chemical preservatives and local preservation methods of drying apricot. Food Science and Quality Management, 47, pp.14-21. https://iiste.org/Journals/index.php/FSQM/article/view/28079
23. Kotler, P., & Armstrong, G. (2003), Principles of Marketing, Upper Saddle River, NJ: Prentice-Hall.
24. Kotler, P., Armstrong, G., & Balasubramanian, S. (2023), Principles of Marketing. 19th Edition, Pearson Education Limited.
25. Kuo, R.J., Ho, L.M., & Hu, C.M. (2002), Integration of self-organizing feature map and K-meansalgorithm for market segmentation. Computers and Operations Research, 29, pp.1475-1493. doi: 10.1016/S0305-0548(01)00043-0
26. Lyagoubi, A., Yousfi, L.K., Akhdari, S.E., Zarrouk, A., Zinedine, A., & Errachidi, F. (2024), Optimization of the factors affecting dried apricots antioxidants content by experimental design. Journal of Medicinal and Pharmaceutical Chemistry Research, 7(2), pp.241-254. doi: 10.48309/jmpcr.2025.458849.1259
27. Muradoglu, F., & Kayakeser, U. (2022), Multivariate analysis of turkish and foreign apricot cultivars based on biochemical components. Erwerbs-Obstbau, 64 pp.639-646. doi: 10.1007/s10341-022-00718-2
28. Qu, W., Li, J., Song, W., Li, X., Zhao, Y., Dong, H., Wang, Y., Zhao, Q., & Qi, Y. (2022), ENTROPY-weight-method-based ıntegrated models for short-term ıntersection traffic flow prediction. ENTROPY (Basel), 24(7), pp.849-864. doi: 10.3390/e24070849
29. Pamućar, D., & Ćirović, G. (2015), The selection of transport and handling resources in logistics centers using multi-attributive border approximation area comparison. Expert Systems with Applications, 42(6), pp.3016–3028. doi: 10.1016/j.eswa.2014.11.057
30. Poyraz, S., & Gül, M. (2022), The development of apricot production and foreign trade in the world and in türkiye. scientific papers series management. Economic Engineering in Agriculture and Rural Development, 22(2), pp.601-616. https://managementjournal.usamv.ro/index.php/scientific-papers/2894-the-development-of-apricot-production-and-foreign-trade-in-the-world-and-in-turkey.
31. Sarıdaş, M.A., Ağçam, E., Ünal, N., Akyıldız, A., & Paydaş, K.S. (2024), Comprehensive quality analyses of important apricot varieties produced in Turkey. Journal of Food Composition and Analysis, 125, pp.1-10. doi: 10.1016/j.jfca.2023.105791
32. Sukoroto Haryono, S., & Kharisma, B. (2020), Target market selection using mcdm approach: a study of rolling stock manufacturer. Journal of Distribution Science, 18(7), pp.63-72. doi: 10.15722/jds.18.7.202007.63
33. Skopenko, N., Fedulova, I., Mostenska, T., Severyna, I., & Kapinus, L. (2024), Risk assessment in target market selection by bread baking enterprises. Ukrainian Food Journal, 13(2), pp.385-405. doi: 10.24263/2304-974X-2024-13-2-13
34. STATİSTA, (2024), Dried Apricot Exports Worldwide İn 2023, By Leading Country., available at: https://www.statista.com/statistics/1027377/global-leading-exporters-of-dried-apricots/, (accessed: 23 September 2024).
35. Tang, T.E., & Mantrala, M.K. (2024), Incorporating direct customers’ customer needs in a multi-dimensional B2B market segmentation approach. Industrial Marketing Management, 119, pp.252-263. doi: 10.1016/j.indmarman.2024.04.005
36. Thao, N.X., & Duong, T.T. (2019), Selecting target market by similar measures in interval intuitionistic fuzzy set. Technology and Economic Development of Economy, 25(5), pp.934-950. doi: 10.3846/tede.2019.10290
37. Tarim ve Orman Bakanlığı, (2024). Ürün Raporu Kayısı 2023, available at: https://arastirma.tarimorman.gov.tr, (accessed: 21 September 2024).
38. TUİK, (2024). Data Portal For Statistics, available: https://data.tuik.gov.tr/Bulten/Index?p=Bitkisel-Uretim-Istatistikleri-2024-53447, (accessed: 19 September 2024).
39. TRADE MAP (2024). Trade Statistics For İnternational Business Development, available at: https://www.trademap.org/Index.aspx, (accessed: 19 September 2024).
40. Ucar, K., & Engindeniz, S. (2018). Malatya ilinde kuru kayısı pazarlaması üzerine bir araştırma. Selcuk Journal of Agriculture and Food Sciences, 32(3), pp.249-256. doi: 10.15316/SJAFS.2018.91
41. Ucar, K., Engindeniz, S., & Örük, G. (2023), Energy and profitability analysis of dried apricot production in terms of sustainability: a case study for Turkey. Erwerbs-Obstbau, 65(3), pp.461-468. doi: 10.1007/s10341-023-00847-2
42. Uçar, K., Güler, D., & Engindeniz, S. (2021), Estimating of apricot production of Turkey using ARIMA model. Turkish Journal of Agricultural Economics, 27(2), pp.55-62. doi: 10.24181/tarekoder.941416
43. United States International Trade Commission (2024). Harmonized Tariff Schedule, available at: https://hts.usitc.gov/, (accessed: 9 October 2024).
44. Vanegas-Lopez, J.G., Baena-Rojas, J.J., Lopez-Cadavid, D.A., & Mathew, M. (2020), International market selection: an application of hybrid multi-criteria decision-making technique in the textile sector. Review of International Business and Strategy, 31(1), pp.127-150. doi: 10.1108/RIBS-07-2020-0088
45. Velasco, J.E., Marques, J.M.R., Torres, A.P., Marshall, M.I. & Deering, A.J. (2024), Safe, sustainable, and nutritious food labels: A market segmentation of fresh vegetables consumers. Food Control, 165, pp.1-10. doi: 10.1016/j.foodcont.2024.110654
46. Vu, T.H., Nguyen, V.D., Ho, M.T., & Vuong, Q.H. (2019), Determinants of vietnamese listed firm performance: competition, wage, ceo, firm size, age, and ınternational trade. Journal of Risk and Financial Management, 12(2), pp.1-19. doi: 10.3390/jrfm12020062
47. Weinstein, A. (2014), Target market selection in B2B technology markets. Journal of Marketing Analysis, 2(1), pp.59-69. doi: 10.1057/jma.2014.6.
48. World Bank, (2024), Austria, available at: https://data.worldbank.org/country/austria, (accessed: 10 October 2024).
49. Xia, S., Yang, W., & Tan, S. (2024), Evaluation of ecological rehabilitation models for abandoned mines using analytic hierarchy process–entropy method and sustainable development strategies. Sustainability, 16(23), pp.1-19. doi: 10.3390/su162310668
50. 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), pp.2013-2028. doi: 10.1080/17480272.2023.2212267
51. Zavadskas, E.K., & Turskis, Z. (2010), A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological And Economic Development Of Economy Baltic Journal On Sustainability, 16(2), pp.159-172. doi: 10.3846/tede.2010.10
52. Zakeri, S., Delavar, M.R.R., & Cheikhrouhou, N. (2020), Dairy market selection approach usind MCDM methods: a case of Iranian dairy market. International Journal of Management and Decision Making, 19(3), pp.267-311. doi: 10.1504/IJMDM.2020.108642
53. Zhebentyayeva, T., Ledbetter, C., Burgos, L., & Llácer, G. (2012), Apricot. In Fruit Breeding,. in Badenes, M.L., Byrne, D.H. (Eds.). Handbook of Plant Breeding, Springer, New York.
54. Zhu, Y., Tian, D., & Yan, F. (2020), Effectiveness of ENTROPY weight method in decision-making. Mathematical Problems in Engineering, 2020(1), pp.1-5. doi: 10.1155/2020/3564835