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Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques

Year 2025, Volume: 33 Issue: 64, 159 - 181, 26.04.2025
https://doi.org/10.17233/sosyoekonomi.2025.02.07

Abstract

This study calculates the profitability, growth rates, and financial performance of BIST Transport and Storage Sector enterprises between 2013 and 2022, using financial statement values obtained from the Public Disclosure Platform (KAP). In this context, the importance of the criteria was determined by the Entropy method, using eight evaluation criteria, and then both individual and sectoral financial performance scores of the companies were determined using MAIRCA (Multi Attributive Ideal-Real Comparative Analysis) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods. The findings showed that the companies' profit-loss status was affected by the increase or decrease in their assets, equity, sales and other items in both individual and sectoral financial success rankings, and the particular situation notifications of the companies were also effective.

References

  • Ayçin, E. (2020), Multi-Criteria Decision Making: Computer Applied Solutions, (2. Edition), Ankara: Nobel Academic Publishing.
  • Başdeğirmen, A. & M.Z. Tunca (2017), “Evaluation of Financial Performance of Enterprises Operating in the Logistics Sector with Gray Relational Analysis”, Süleyman Demirel University Faculty of Economics and Administrative Sciences Journal, 22(2), 327-340.
  • Elmas, B. & T. Özkan (2021), “Evaluation of Financial Performance of Transport and Storage Sector Enterprises with SWARA-OCRA Model”, Journal of the Academy of Business Administration, 2(3), 240-253.
  • Farrokh, M. et al. (2016), “Two comparative MCDM approaches for evaluating the financial performance of Iranian basic metals companies”, Iranian Journal of Management Studies (IJMS), 9(2), 359-382.
  • Feng, C.M. & R.T. Wang (2000), “Performance Evaluation for Airlines Including the Consideration of Financial Ratios”, Journal of Air Transport Management, 6(3), 133-142.
  • Gigovic, L. et al. (2016), “The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots”, Sustainability, 8(4), 1-30.
  • Huang, C.C. et al. (2021), “An Evaluation of The Operational Performance and Profitability of The US Airlines”, International Journal of Global Business and Competitiveness, 16(2), 73-85.
  • Korkmaz, O. & H. Uygurtürk (2010), “Determination of the financial performances of maritime transport enterprises with the TOPSIS method”, Journal of Financial Horizons, 2, 35-54.
  • Lotfi, F.H. & R. Fallahnejad (2010), “Imprecise Shannon's entropy and multi-attribute decision-making”, Entropy, 12(1), 53-62.
  • Macit, D. & S.G. Göçer (2020), “Measurement of Financial Performance of Airline Enterprises: The Case of Pegasus Air Transportation Inc. and THYAO”, Ordu University Institute of Social Sciences Journal of Social Sciences Research, 10(3), 904-918.
  • Meydan, C. et al. (2018), “The Relationship between Financial Openness and Financial Performance: An Application in the Transportation and Storage Sector”, in: IV. International Caucasus-Central Asia Foreign Trade and Logistics Congress (214-225), September 7-8, Didim / Aydın.
  • Nguyen, T.N.L. & V.C. Nguyen (2020), “The Determinants of Profitability in Listed Enterprises: A Study From Vietnamese Stock Exchange”, Journal of Asian Finance, Economics And Business, 7(1), 47-58.
  • Oral, C. & E. Kipkip (2019), “Using TOPSIS and PROMETHEE Methods for Performance Measurement of the Transportation Sector: An Application on BIST”, Mehmet Akif Ersoy University Journal of Social Sciences Institute, 11(30), 1005-1015.
  • Özbek, A. & M. Ghouchi (2021), “Performance Evaluation of Airlines Using Financial Ratios”, International Journal of Engineering Research And Development, 13(2), 583-599.
  • Özbek, A. (2018), “Evaluation of Logistics Companies in the Fortune 500 List”, Afyon Kocatepe University Faculty of Economics and Administrative Sciences Journal, 20(1), 13-26.
  • Pamučar, D. & G. Ćirović (2015), “The Selection of Transport and Handling Resources in Logistics Centers Using Multi-Attributive Border Approximation Area Comparison (MABAC)”, Expert Systems with Applications, 42(6), 3016-3028.
  • Pamucar, D.S. et al. (2018), “New Hybrid Multi-Criteria Decision-Making DEMATELMAIRCA Model: Sustainable Selection of A Location for The Development of Multimodal Logistics Centre”, Economic Research- Ekonomska Istraživanja, 31(1), 1641-1665.
  • Perçin, S. & E. Aldalou (2018), “Financial Performance Evaluation of Turkish Airline Companies Using Integrated Fuzzy AHP Fuzzy TOPSIS Model”, International Journal of Economic and Administrative Studies, (18. EYİ Özel Sayısı), 583-598.
  • Rezaie, K. et al. (2014), “Evaluating Performance of Iranian Cement Firms Using an Integrated Fuzzy AHP-VIKOR Method”, Applied Mathematical Modeling, 38(21-22), 5033-5046.
  • Said, M. & H. Ali (2016), “An Analysis on The Factors Affecting Profitability Level of Sharia Banking in Indonesia”, Banks & Bank Systems, 11(3), 28-36.
  • Sakarya, Ş. & İ. Saçkes (2022), “Evaluation of Financial Performance of Companies Operating in BIST Registered Transport and Storage Sector by Analytical Hierarchy Process (AHS) and Gray Relational Analysis (GIA) Methods”, Journal of Economic, Administrative and Political Research, 7(19), 366-388.
  • Sakarya, Ş. & M. Aksu (2020), “Evaluation of Financial Performance of Enterprises in Transportation Sector with Enhanced Entropy-Based TOPSIS Method”, Optimum Journal of Economics and Management Sciences, 7(1), 21-40.
  • Tufan, C. & Y. Kılıç (2019), “Evaluation of the Financial Performance of Logistics Enterprises Traded in Borsa Istanbul with TOPSIS and VIKOR Methods”, C.U. Journal of Economics and Administrative Sciences, 30, 119-137.
  • Tunahan, A. & E. Çınaroğlu (2018), “Financial performance evaluation of airline businesses with AHP-based TOPSIS approach”, Cumhuriyet University Journal of Economics and Administrative Sciences, 19(1), 316-335.
  • Türkoğlu, M. & G. Duran (2019), “The Importance of the Logistics Sector and Its Contributions to Regional Development”, Journal of Applied Social Sciences and Fine Arts, 1(2), 86-97.
  • Wang, T.C. & H.D. Lee (2009), “Developing A Fuzzy TOPSIS Approach Based On Subjective Weights and Objective Weights”, Expert Systems with Applications, 36(5),8980-8985.
  • Yıldızbaşı, A. & A. Çalık (2021), “Evaluation of Technology Maturity Levels of SMEs in the Manufacturing Sector with the Fuzzy MAIRCA Method”, in: M Kabak & B. Erdebilli (eds.), Fuzzy Multi-Criteria Decision-Making Methods MS Excel and Software Solution Applications (441-454), Nobel Publications, 1. Edition.
  • Zhang, X. et al. (2014), “Assessment Model of Ecoenvironmental Vulnerability Based on Improved Entropy Weight Method”, The Scientific World Journal, 2014, 797814.

BIST Ulaştırma ve Depolama Sektöründeki Şirketlerin Finansal Performanslarının Çok Kriterli Karar Verme Teknikleri ile Analizi

Year 2025, Volume: 33 Issue: 64, 159 - 181, 26.04.2025
https://doi.org/10.17233/sosyoekonomi.2025.02.07

Abstract

Bu çalışmada, 2013-2022 yılları arasında BIST Ulaştırma ve Depolama Sektöründe faaliyet gösteren işletmelerin kârlılık ve büyüme oranları ile finansal performanslarının Kamuyu Aydınlatma Platformu'ndan (KAP) elde edilen finansal tablolardaki değerler kullanılarak hesaplanması amaçlanmıştır. Bu kapsamda, 8 değerlendirme kriteri kullanılarak Entropi yöntemi ile kriterlerin önem derecesi belirlenmiş, ardından şirketlerin hem bireysel hem de sektörel finansal performans puanları MAIRCA (Multi Attributive Ideal-Real Comparative Analysis) ve MABAC (Multi-Attributive Border Approximation Area Comparison) yöntemleri kullanılarak belirlenmiştir. Elde edilen bulgulara göre, şirketlerin kâr-zarar durumlarının şirketlerin hem bireysel hem de sektörel finansal başarı sıralamalarında aktiflerinde, öz kaynaklarında, satışlarında ve diğer kalemlerinde meydana gelen artış veya azalışlardan etkilendiği, şirketlerin özel durum bildirimlerinin de etkili olduğu görülmüştür.

References

  • Ayçin, E. (2020), Multi-Criteria Decision Making: Computer Applied Solutions, (2. Edition), Ankara: Nobel Academic Publishing.
  • Başdeğirmen, A. & M.Z. Tunca (2017), “Evaluation of Financial Performance of Enterprises Operating in the Logistics Sector with Gray Relational Analysis”, Süleyman Demirel University Faculty of Economics and Administrative Sciences Journal, 22(2), 327-340.
  • Elmas, B. & T. Özkan (2021), “Evaluation of Financial Performance of Transport and Storage Sector Enterprises with SWARA-OCRA Model”, Journal of the Academy of Business Administration, 2(3), 240-253.
  • Farrokh, M. et al. (2016), “Two comparative MCDM approaches for evaluating the financial performance of Iranian basic metals companies”, Iranian Journal of Management Studies (IJMS), 9(2), 359-382.
  • Feng, C.M. & R.T. Wang (2000), “Performance Evaluation for Airlines Including the Consideration of Financial Ratios”, Journal of Air Transport Management, 6(3), 133-142.
  • Gigovic, L. et al. (2016), “The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots”, Sustainability, 8(4), 1-30.
  • Huang, C.C. et al. (2021), “An Evaluation of The Operational Performance and Profitability of The US Airlines”, International Journal of Global Business and Competitiveness, 16(2), 73-85.
  • Korkmaz, O. & H. Uygurtürk (2010), “Determination of the financial performances of maritime transport enterprises with the TOPSIS method”, Journal of Financial Horizons, 2, 35-54.
  • Lotfi, F.H. & R. Fallahnejad (2010), “Imprecise Shannon's entropy and multi-attribute decision-making”, Entropy, 12(1), 53-62.
  • Macit, D. & S.G. Göçer (2020), “Measurement of Financial Performance of Airline Enterprises: The Case of Pegasus Air Transportation Inc. and THYAO”, Ordu University Institute of Social Sciences Journal of Social Sciences Research, 10(3), 904-918.
  • Meydan, C. et al. (2018), “The Relationship between Financial Openness and Financial Performance: An Application in the Transportation and Storage Sector”, in: IV. International Caucasus-Central Asia Foreign Trade and Logistics Congress (214-225), September 7-8, Didim / Aydın.
  • Nguyen, T.N.L. & V.C. Nguyen (2020), “The Determinants of Profitability in Listed Enterprises: A Study From Vietnamese Stock Exchange”, Journal of Asian Finance, Economics And Business, 7(1), 47-58.
  • Oral, C. & E. Kipkip (2019), “Using TOPSIS and PROMETHEE Methods for Performance Measurement of the Transportation Sector: An Application on BIST”, Mehmet Akif Ersoy University Journal of Social Sciences Institute, 11(30), 1005-1015.
  • Özbek, A. & M. Ghouchi (2021), “Performance Evaluation of Airlines Using Financial Ratios”, International Journal of Engineering Research And Development, 13(2), 583-599.
  • Özbek, A. (2018), “Evaluation of Logistics Companies in the Fortune 500 List”, Afyon Kocatepe University Faculty of Economics and Administrative Sciences Journal, 20(1), 13-26.
  • Pamučar, D. & G. Ćirović (2015), “The Selection of Transport and Handling Resources in Logistics Centers Using Multi-Attributive Border Approximation Area Comparison (MABAC)”, Expert Systems with Applications, 42(6), 3016-3028.
  • Pamucar, D.S. et al. (2018), “New Hybrid Multi-Criteria Decision-Making DEMATELMAIRCA Model: Sustainable Selection of A Location for The Development of Multimodal Logistics Centre”, Economic Research- Ekonomska Istraživanja, 31(1), 1641-1665.
  • Perçin, S. & E. Aldalou (2018), “Financial Performance Evaluation of Turkish Airline Companies Using Integrated Fuzzy AHP Fuzzy TOPSIS Model”, International Journal of Economic and Administrative Studies, (18. EYİ Özel Sayısı), 583-598.
  • Rezaie, K. et al. (2014), “Evaluating Performance of Iranian Cement Firms Using an Integrated Fuzzy AHP-VIKOR Method”, Applied Mathematical Modeling, 38(21-22), 5033-5046.
  • Said, M. & H. Ali (2016), “An Analysis on The Factors Affecting Profitability Level of Sharia Banking in Indonesia”, Banks & Bank Systems, 11(3), 28-36.
  • Sakarya, Ş. & İ. Saçkes (2022), “Evaluation of Financial Performance of Companies Operating in BIST Registered Transport and Storage Sector by Analytical Hierarchy Process (AHS) and Gray Relational Analysis (GIA) Methods”, Journal of Economic, Administrative and Political Research, 7(19), 366-388.
  • Sakarya, Ş. & M. Aksu (2020), “Evaluation of Financial Performance of Enterprises in Transportation Sector with Enhanced Entropy-Based TOPSIS Method”, Optimum Journal of Economics and Management Sciences, 7(1), 21-40.
  • Tufan, C. & Y. Kılıç (2019), “Evaluation of the Financial Performance of Logistics Enterprises Traded in Borsa Istanbul with TOPSIS and VIKOR Methods”, C.U. Journal of Economics and Administrative Sciences, 30, 119-137.
  • Tunahan, A. & E. Çınaroğlu (2018), “Financial performance evaluation of airline businesses with AHP-based TOPSIS approach”, Cumhuriyet University Journal of Economics and Administrative Sciences, 19(1), 316-335.
  • Türkoğlu, M. & G. Duran (2019), “The Importance of the Logistics Sector and Its Contributions to Regional Development”, Journal of Applied Social Sciences and Fine Arts, 1(2), 86-97.
  • Wang, T.C. & H.D. Lee (2009), “Developing A Fuzzy TOPSIS Approach Based On Subjective Weights and Objective Weights”, Expert Systems with Applications, 36(5),8980-8985.
  • Yıldızbaşı, A. & A. Çalık (2021), “Evaluation of Technology Maturity Levels of SMEs in the Manufacturing Sector with the Fuzzy MAIRCA Method”, in: M Kabak & B. Erdebilli (eds.), Fuzzy Multi-Criteria Decision-Making Methods MS Excel and Software Solution Applications (441-454), Nobel Publications, 1. Edition.
  • Zhang, X. et al. (2014), “Assessment Model of Ecoenvironmental Vulnerability Based on Improved Entropy Weight Method”, The Scientific World Journal, 2014, 797814.
There are 28 citations in total.

Details

Primary Language English
Subjects Finance Studies (Other)
Journal Section Articles
Authors

Azize Kahramani Koç 0000-0001-9340-7667

Seyhan Öztürk 0000-0003-1458-840X

Early Pub Date April 14, 2025
Publication Date April 26, 2025
Submission Date July 18, 2024
Acceptance Date March 2, 2025
Published in Issue Year 2025 Volume: 33 Issue: 64

Cite

APA Kahramani Koç, A., & Öztürk, S. (2025). Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques. Sosyoekonomi, 33(64), 159-181. https://doi.org/10.17233/sosyoekonomi.2025.02.07
AMA Kahramani Koç A, Öztürk S. Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques. Sosyoekonomi. April 2025;33(64):159-181. doi:10.17233/sosyoekonomi.2025.02.07
Chicago Kahramani Koç, Azize, and Seyhan Öztürk. “Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector With Multi-Criteria Decision-Making Techniques”. Sosyoekonomi 33, no. 64 (April 2025): 159-81. https://doi.org/10.17233/sosyoekonomi.2025.02.07.
EndNote Kahramani Koç A, Öztürk S (April 1, 2025) Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques. Sosyoekonomi 33 64 159–181.
IEEE A. Kahramani Koç and S. Öztürk, “Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques”, Sosyoekonomi, vol. 33, no. 64, pp. 159–181, 2025, doi: 10.17233/sosyoekonomi.2025.02.07.
ISNAD Kahramani Koç, Azize - Öztürk, Seyhan. “Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector With Multi-Criteria Decision-Making Techniques”. Sosyoekonomi 33/64 (April2025), 159-181. https://doi.org/10.17233/sosyoekonomi.2025.02.07.
JAMA Kahramani Koç A, Öztürk S. Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques. Sosyoekonomi. 2025;33:159–181.
MLA Kahramani Koç, Azize and Seyhan Öztürk. “Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector With Multi-Criteria Decision-Making Techniques”. Sosyoekonomi, vol. 33, no. 64, 2025, pp. 159-81, doi:10.17233/sosyoekonomi.2025.02.07.
Vancouver Kahramani Koç A, Öztürk S. Analysis of Financial Performance of Companies in the BIST Transportation and Storage Sector with Multi-Criteria Decision-Making Techniques. Sosyoekonomi. 2025;33(64):159-81.