Research Article
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Analysis of the Effects of the Covid-19 Process on the Financial Performance of Businesses in the Defense Industry By the TOPSIS, EDAS, CoCoSo Method: ISE Sample

Year 2024, Volume: 7 Issue: 2, 43 - 66, 31.12.2024
https://doi.org/10.55065/intraders.1546733

Abstract

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.

Ethical Statement

Ethics Committee Approval is not required for this study. This study was conducted with secondary data.

Supporting Institution

No

Thanks

Thnaks to Board Members

References

  • Bayraktar, A. (2020). COVID 19 pandemisinin finansal etkileri: BİST imalat sektörü uygulaması. Turkish Studies, 15(8), 3415-3427. https://dx.doi.org/10.7827/TurkishStudies.46807
  • Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision-making methods. In Fuzzy multiple attribute decision making: Methods and applications (pp. 289-486). Berlin, Heidelberg: Springer Berlin Heidelberg.
  • Çalış, N., & Sakarya, Ş. (2022). Covid-19 döneminde ve öncesinde firmaların finansal performanslarının CRITIC temelli CoCoSo yöntemi ile analizi; BIST otomotiv sektörü üzerine bir uygulama. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(2), 287-322.
  • Çelikkol, M. (2017). Tedarikçi Seçimi Problemi: Savunma Sanayinde Bir TOPSIS Uygulaması Supplier Selection Problem: An Application in defence Sector. DOI: 10.13140/RG.2.2.27815.24485
  • Dağlı, D. (2021). Havayolu işletmelerinin Covid-19 öncesi ve Covid-19 sürecindeki finansal performanslarının TOPSIS yöntemi ile değerlendirilmesi. İşletme Araştırmaları Dergisi, 13(3), 2242-2255.
  • Desticioglu Tasdemir, B., & Asilogullari Ayan, M. (2024). Sustainable Supplier Selection in the Defense Industry with Multi-criteria Decision-Making Methods. In: Şen, Z., Uygun, Ö., Erden, C. (eds) Advances in Intelligent Manufacturing and Service System Informatics. IMSS 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-6062-0_10
  • Ecer, F. (2020). Çok Kriterli Karar Verme-Geçmişten Günümüze Kapsamlı Bir Yaklaşım.SeçkinYayıncılık. Ankara
  • Elma, O. E. (2023). Financial Performance Analysis of Healthcare Companies on Borsa Istanbul During COVID-19 Via MOORA And TOPSIS Methods. 6th International Conference on Applied Research in Management, Business & Economics, 3-5 March Vienna, Austria,
  • Ersoy, Y. (2021). Equipment selection for an e-commerce company using Entropy-based TOPSIS, EDAS and CODAS methods during the COVID-19. LogForum, 17(3).
  • Ertaş, F. C., & Yetim, A. (2022). Covıd-19 pandemisinde gıda ve içecek sektöründeki işletmelerin finansal performansının TOPSIS yöntemiyle incelenmesi: BIST örneği. Muhasebe ve Finansman Dergisi, (93), 53-74.
  • Ghosh, R., & Saima, F. N. (2021). Resilience of commercial banks of Bangladesh to the shocks caused by COVID-19 pandemic: an application of MCDM-based approaches. Asian Journal of Accounting Research, 6(3), 281-295.
  • Ghosh, S., & Bhattacharya, M. (2022). Analyzing the impact of COVID-19 on the financial performance of the hospitality and tourism industries: an ensemble MCDM approach in the Indian context. International Journal of Contemporary Hospitality Management, 34(8), 3113–3142.
  • Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. Multiple attribute decision making: methods and applications a state-of-the-art survey, 58-191.
  • Kaplan, G. (2023). Evaluation of Performances of Automotive Sector Companies Traded in BIST, Including the COVID-19 Pandemic Period, with TOPSIS, ELECTRE, and CRITIC Methods. Aksaray University Journal of Science and Engineering, 7(2), 85–98.
  • Karapınar A., & Zaif F. A. (2021). Uluslararası Finansal Raporlama Standartları İle Uyumlu Finansal Analiz. Ankara: Gazi Kitabevi.
  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451. doi: 10.15388/ınformatica.2015.57
  • Kondak, G. N. (2021). Covid-19 Pandemi Sürecinde Bist Yildiz Pazarda İşlem Gören Gida Şirketlerinin Mali Performanslarinin Değerlendirilmesi. Uluslararası Beşeri ve Sosyal Bilimler İnceleme Dergisi, 5(2), 154-168.
  • Kurt, G., & Kablan, A. (2022). Covid-19’un, BİST ulaştırma endeksinde faaliyet gösteren havayolu işletmelerinin finansal performansı üzerindeki etkilerinin, çok kriterli karar verme yöntemleri ile analizi. İşletme Akademisi Dergisi, 3(1), 16-33.
  • Kurtay, K. G., Gökmen, Y., Altundaş, A., & Dağıstanlı, H. A. (2021). Savunma Sanayii Projelerinin Çok Kriterli Karar Verme Yöntemleriyle Önceliklendirilmesi ve Karşılaştırılması: Karma Bir Model Önerisi. SAVSAD Savunma ve Savaş Araştırmaları Dergisi, 31(1), 1-24.
  • Makki, A. A., & Alqahtani, A. Y. (2023). Capturing the effect of the COVID-19 pandemic outbreak on the financial performance disparities in the energy sector: A Hybrid MCDM-Based evaluation approach. Economies, 11(2), 61.
  • Meral, H. (2021). Covid-19 Türk Sigorta Sektörünü Nasıl Etkiledi?. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 6(3), 443-458.
  • Mirgen, Ç., & Tepeli, Y. (2023). Savunma Sanayi Şirketlerinin Finansal Oran Analizleri İle İncelenmesi. Ankara: Nobel Yayınevi.
  • Ministry of Health (2020). Covid-19 Information Platform 2020. Https://Saglık.Gov.Tr/ (Accessed on 24.12.2023).
  • Nguyen, P. H., Tsai, J. F., Hu, Y. C., & Ajay Kumar, G. V. (2022). A Hybrid method of MCDM for evaluating the financial performance of Vietnamese commercial banks under COVID-19 impacts. Shifting Economic, Financial and Banking Paradigm: New Systems to Encounter COVID-19, pp. 23–45. https://doi.org/10.1007/978-3-030-79610- 5_2
  • Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
  • Orji, I. J., & Ojadi, F. (2021). Investigating the COVID-19 pandemic’s impact on sustainable supplier selection in the Nigerian manufacturing sector. Computers & Industrial Engineering, 160, 107588.
  • Ögel, S., & Nuryyev, K. (2021). Borsa İstanbul’da işlem gören savunma sanayi şirketlerinin Bulanık TOPSIS yöntemi ile finansal performans analizi. Business & Management Studies: An International Journal, 9(1), 307-326.
  • Özarı, Ç. (2024). Covid-19 Sürecinde Ulaştırma Ve Depolama Sektöründeki İşletmelerin Finansal Performans Analizi: Entropi Tabanlı Edas Ve Copras Yöntemleriyle. Akademik Hassasiyetler, 12(25), 602-631.
  • Özgüner, Z., Özgüner, M., & Durmaz, Y. (2023). The evaluation of the effects of the COVID-19 pandemic on the Turkish manufacturing sector using AHP-TOPSIS methods. Journal of Business & Industrial Marketing, 38(7), 1562-1573.
  • Petrovic, N., Jovanovic, V., Markovic, S., Marinkovic, D., & Petrovic, M. (2024). Multicriteria sustainability assessment of transport modes: A European Union case study for 2020. J. Green Econ. Low-Carbon Dev, 3(1), 36-44.
  • Rasmussen, A., Sabic, H., Saha, S., & Nielsen, I. E. (2023). Supplier selection for the aerospace and defense industry through MCDM methods. Cleaner Engineering and Technology, 12, 100590.
  • Sakarya, Ş., & Budak, M.Y. (2022). Covid-19 Pandemisi Sürecinde BİST Perakende Ticaret Sektöründe Faaliyet Gösteren Şirketlerin Finansal Performanslarının Geliştirilmiş Entropi Temelli TOPSIS Yöntemi ile Belirlenmesi. Uluslararası Muhasebe ve Finans Araştırmaları Dergisi. 4(1), 17–39.
  • Şenol, A. (2023). Covid-19 Salgını Sürecinde Borsa İstanbul’da İşlem Gören Sağlık İşletmelerinin Finansal Göstergeler ile TOPSIS Yöntemiyle Değerlendirilmesi. Elektronik Sosyal Bilimler Dergisi, 22(88), 1445-1459.
  • Temel, E., & Çakır, U. (2022). Covid-19 salgınının tekstil sektöründeki işletmelerin finansal performanslarına etkilerinin TOPSIS yöntemiyle analizi: BİST örneği. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi. 24(4), 1446-1466.
  • Tezsürücü Coşansu, D., & Okursoy, A. (2022). Financial Performance Analysis of Retail Trade Firms Registered in BIST with FUCOM Based VIKOR Method. Alphanumeric Journal, 10(2), 223-235. https://doi.org/10.17093/alphanumeric.1205322
  • Wang, C. N., Pan, C. F., Nguyen, V. T., & Husain, S. T. (2022). Sustainable supplier selection model in supply chains during the COVID-19 pandemic. Computers, Materials and Continua, 70(2), 3005-3019.
  • WTO, World Trade Organization (2021). World Trade Review 2021. https://www.wto.org/english/res_e/statis_e/wts2021_e/wts2021_e.pdf(Accessed on 29.12.2023)
  • Wu, J. (2011). Asymmetric roles of business ties and political ties in product innovation. Journal of Business Research, 64(11), 1151–1156.
  • Yaslıdağ, B. (2018). Finansal Yönetim ve Finansal Analiz. Ankara: Seçkin Yayıncılık
  • Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management decision, 57(9), 2501-2519.
  • Yücel, S., & Arslan, H. M. (2021). Gri İlişkisel Analiz ve Multi Moora Yöntemleri ile Borsa İstanbul’da İşlem Gören Savunma Sanayi Sektörünün Finansal Performansının Değerlendirilmesi, Düzce Üniversitesi Sosyal Bilimler Dergisi, 11(1), 36-57.
  • Zhang, H., Gu, C. L., Gu, L. W., & Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS & information entropy–A case in the Yangtze River Delta of China. Tourism Management, 32(2), 443–451.
Year 2024, Volume: 7 Issue: 2, 43 - 66, 31.12.2024
https://doi.org/10.55065/intraders.1546733

Abstract

References

  • Bayraktar, A. (2020). COVID 19 pandemisinin finansal etkileri: BİST imalat sektörü uygulaması. Turkish Studies, 15(8), 3415-3427. https://dx.doi.org/10.7827/TurkishStudies.46807
  • Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision-making methods. In Fuzzy multiple attribute decision making: Methods and applications (pp. 289-486). Berlin, Heidelberg: Springer Berlin Heidelberg.
  • Çalış, N., & Sakarya, Ş. (2022). Covid-19 döneminde ve öncesinde firmaların finansal performanslarının CRITIC temelli CoCoSo yöntemi ile analizi; BIST otomotiv sektörü üzerine bir uygulama. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(2), 287-322.
  • Çelikkol, M. (2017). Tedarikçi Seçimi Problemi: Savunma Sanayinde Bir TOPSIS Uygulaması Supplier Selection Problem: An Application in defence Sector. DOI: 10.13140/RG.2.2.27815.24485
  • Dağlı, D. (2021). Havayolu işletmelerinin Covid-19 öncesi ve Covid-19 sürecindeki finansal performanslarının TOPSIS yöntemi ile değerlendirilmesi. İşletme Araştırmaları Dergisi, 13(3), 2242-2255.
  • Desticioglu Tasdemir, B., & Asilogullari Ayan, M. (2024). Sustainable Supplier Selection in the Defense Industry with Multi-criteria Decision-Making Methods. In: Şen, Z., Uygun, Ö., Erden, C. (eds) Advances in Intelligent Manufacturing and Service System Informatics. IMSS 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-6062-0_10
  • Ecer, F. (2020). Çok Kriterli Karar Verme-Geçmişten Günümüze Kapsamlı Bir Yaklaşım.SeçkinYayıncılık. Ankara
  • Elma, O. E. (2023). Financial Performance Analysis of Healthcare Companies on Borsa Istanbul During COVID-19 Via MOORA And TOPSIS Methods. 6th International Conference on Applied Research in Management, Business & Economics, 3-5 March Vienna, Austria,
  • Ersoy, Y. (2021). Equipment selection for an e-commerce company using Entropy-based TOPSIS, EDAS and CODAS methods during the COVID-19. LogForum, 17(3).
  • Ertaş, F. C., & Yetim, A. (2022). Covıd-19 pandemisinde gıda ve içecek sektöründeki işletmelerin finansal performansının TOPSIS yöntemiyle incelenmesi: BIST örneği. Muhasebe ve Finansman Dergisi, (93), 53-74.
  • Ghosh, R., & Saima, F. N. (2021). Resilience of commercial banks of Bangladesh to the shocks caused by COVID-19 pandemic: an application of MCDM-based approaches. Asian Journal of Accounting Research, 6(3), 281-295.
  • Ghosh, S., & Bhattacharya, M. (2022). Analyzing the impact of COVID-19 on the financial performance of the hospitality and tourism industries: an ensemble MCDM approach in the Indian context. International Journal of Contemporary Hospitality Management, 34(8), 3113–3142.
  • Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. Multiple attribute decision making: methods and applications a state-of-the-art survey, 58-191.
  • Kaplan, G. (2023). Evaluation of Performances of Automotive Sector Companies Traded in BIST, Including the COVID-19 Pandemic Period, with TOPSIS, ELECTRE, and CRITIC Methods. Aksaray University Journal of Science and Engineering, 7(2), 85–98.
  • Karapınar A., & Zaif F. A. (2021). Uluslararası Finansal Raporlama Standartları İle Uyumlu Finansal Analiz. Ankara: Gazi Kitabevi.
  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451. doi: 10.15388/ınformatica.2015.57
  • Kondak, G. N. (2021). Covid-19 Pandemi Sürecinde Bist Yildiz Pazarda İşlem Gören Gida Şirketlerinin Mali Performanslarinin Değerlendirilmesi. Uluslararası Beşeri ve Sosyal Bilimler İnceleme Dergisi, 5(2), 154-168.
  • Kurt, G., & Kablan, A. (2022). Covid-19’un, BİST ulaştırma endeksinde faaliyet gösteren havayolu işletmelerinin finansal performansı üzerindeki etkilerinin, çok kriterli karar verme yöntemleri ile analizi. İşletme Akademisi Dergisi, 3(1), 16-33.
  • Kurtay, K. G., Gökmen, Y., Altundaş, A., & Dağıstanlı, H. A. (2021). Savunma Sanayii Projelerinin Çok Kriterli Karar Verme Yöntemleriyle Önceliklendirilmesi ve Karşılaştırılması: Karma Bir Model Önerisi. SAVSAD Savunma ve Savaş Araştırmaları Dergisi, 31(1), 1-24.
  • Makki, A. A., & Alqahtani, A. Y. (2023). Capturing the effect of the COVID-19 pandemic outbreak on the financial performance disparities in the energy sector: A Hybrid MCDM-Based evaluation approach. Economies, 11(2), 61.
  • Meral, H. (2021). Covid-19 Türk Sigorta Sektörünü Nasıl Etkiledi?. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 6(3), 443-458.
  • Mirgen, Ç., & Tepeli, Y. (2023). Savunma Sanayi Şirketlerinin Finansal Oran Analizleri İle İncelenmesi. Ankara: Nobel Yayınevi.
  • Ministry of Health (2020). Covid-19 Information Platform 2020. Https://Saglık.Gov.Tr/ (Accessed on 24.12.2023).
  • Nguyen, P. H., Tsai, J. F., Hu, Y. C., & Ajay Kumar, G. V. (2022). A Hybrid method of MCDM for evaluating the financial performance of Vietnamese commercial banks under COVID-19 impacts. Shifting Economic, Financial and Banking Paradigm: New Systems to Encounter COVID-19, pp. 23–45. https://doi.org/10.1007/978-3-030-79610- 5_2
  • Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
  • Orji, I. J., & Ojadi, F. (2021). Investigating the COVID-19 pandemic’s impact on sustainable supplier selection in the Nigerian manufacturing sector. Computers & Industrial Engineering, 160, 107588.
  • Ögel, S., & Nuryyev, K. (2021). Borsa İstanbul’da işlem gören savunma sanayi şirketlerinin Bulanık TOPSIS yöntemi ile finansal performans analizi. Business & Management Studies: An International Journal, 9(1), 307-326.
  • Özarı, Ç. (2024). Covid-19 Sürecinde Ulaştırma Ve Depolama Sektöründeki İşletmelerin Finansal Performans Analizi: Entropi Tabanlı Edas Ve Copras Yöntemleriyle. Akademik Hassasiyetler, 12(25), 602-631.
  • Özgüner, Z., Özgüner, M., & Durmaz, Y. (2023). The evaluation of the effects of the COVID-19 pandemic on the Turkish manufacturing sector using AHP-TOPSIS methods. Journal of Business & Industrial Marketing, 38(7), 1562-1573.
  • Petrovic, N., Jovanovic, V., Markovic, S., Marinkovic, D., & Petrovic, M. (2024). Multicriteria sustainability assessment of transport modes: A European Union case study for 2020. J. Green Econ. Low-Carbon Dev, 3(1), 36-44.
  • Rasmussen, A., Sabic, H., Saha, S., & Nielsen, I. E. (2023). Supplier selection for the aerospace and defense industry through MCDM methods. Cleaner Engineering and Technology, 12, 100590.
  • Sakarya, Ş., & Budak, M.Y. (2022). Covid-19 Pandemisi Sürecinde BİST Perakende Ticaret Sektöründe Faaliyet Gösteren Şirketlerin Finansal Performanslarının Geliştirilmiş Entropi Temelli TOPSIS Yöntemi ile Belirlenmesi. Uluslararası Muhasebe ve Finans Araştırmaları Dergisi. 4(1), 17–39.
  • Şenol, A. (2023). Covid-19 Salgını Sürecinde Borsa İstanbul’da İşlem Gören Sağlık İşletmelerinin Finansal Göstergeler ile TOPSIS Yöntemiyle Değerlendirilmesi. Elektronik Sosyal Bilimler Dergisi, 22(88), 1445-1459.
  • Temel, E., & Çakır, U. (2022). Covid-19 salgınının tekstil sektöründeki işletmelerin finansal performanslarına etkilerinin TOPSIS yöntemiyle analizi: BİST örneği. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi. 24(4), 1446-1466.
  • Tezsürücü Coşansu, D., & Okursoy, A. (2022). Financial Performance Analysis of Retail Trade Firms Registered in BIST with FUCOM Based VIKOR Method. Alphanumeric Journal, 10(2), 223-235. https://doi.org/10.17093/alphanumeric.1205322
  • Wang, C. N., Pan, C. F., Nguyen, V. T., & Husain, S. T. (2022). Sustainable supplier selection model in supply chains during the COVID-19 pandemic. Computers, Materials and Continua, 70(2), 3005-3019.
  • WTO, World Trade Organization (2021). World Trade Review 2021. https://www.wto.org/english/res_e/statis_e/wts2021_e/wts2021_e.pdf(Accessed on 29.12.2023)
  • Wu, J. (2011). Asymmetric roles of business ties and political ties in product innovation. Journal of Business Research, 64(11), 1151–1156.
  • Yaslıdağ, B. (2018). Finansal Yönetim ve Finansal Analiz. Ankara: Seçkin Yayıncılık
  • Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management decision, 57(9), 2501-2519.
  • Yücel, S., & Arslan, H. M. (2021). Gri İlişkisel Analiz ve Multi Moora Yöntemleri ile Borsa İstanbul’da İşlem Gören Savunma Sanayi Sektörünün Finansal Performansının Değerlendirilmesi, Düzce Üniversitesi Sosyal Bilimler Dergisi, 11(1), 36-57.
  • Zhang, H., Gu, C. L., Gu, L. W., & Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS & information entropy–A case in the Yangtze River Delta of China. Tourism Management, 32(2), 443–451.
There are 42 citations in total.

Details

Primary Language English
Subjects Finance
Journal Section Articles
Authors

Cemalettin Aktepe 0000-0001-5426-2530

Fatma İzgi 0000-0002-5313-2360

Early Pub Date December 31, 2024
Publication Date December 31, 2024
Submission Date September 9, 2024
Acceptance Date December 7, 2024
Published in Issue Year 2024 Volume: 7 Issue: 2

Cite

APA Aktepe, C., & İzgi, F. (2024). Analysis of the Effects of the Covid-19 Process on the Financial Performance of Businesses in the Defense Industry By the TOPSIS, EDAS, CoCoSo Method: ISE Sample. InTraders International Trade Academic Journal, 7(2), 43-66. https://doi.org/10.55065/intraders.1546733