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Journals / Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2026 / Cilt: 20 Sayı: 2

Evaluation of the Effect of Inflation Adjustment on Business Performance by Entropy Based Copras Method

Enflasyon Düzeltmesi Uygulamasının İşletme Performanslarına Etkisinin Entropi Temelli Copras Yöntemi ile Değerlendirilmesi

Abdurrahman Coşkuner(GAZİANTEP ÜNİVERSİTESİ)0000-0002-3012-8780
Mehmet Kaygusuzoğlu(ADIYAMAN ÜNİVERSİTESİ)0000-0001-8053-4296
Pages
327–350
Publication Date
2025-08-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that Enterprise C performed the best before the inflation adjustment, followed by Enterprises B and A.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Inflation adjustment is expected to eliminate the effects of inflation on enterprises' financial statements and enable more accurate financial analyses.
📊
Key Findings & Data:The study aims to compare the performance of enterprises with the same balance sheet size and profitability before and after inflation adjustment.
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Conclusion & Impact:The results show that Enterprise C performed the best before the inflation adjustment, followed by Enterprises B and A.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Enflasyon · Muhasebe · Entropi

Abstract

Inflation adjustment is expected to eliminate the effects of inflation on enterprises' financial statements and enable more accurate financial analyses. The study aims to compare the performance of enterprises with the same balance sheet size and profitability before and after inflation adjustment. For this purpose, balance sheets and income statements of three different enterprises with various structures were created and the performance rankings of the enterprises were made using the Entropy-based Copras method. The results show that Enterprise C performed the best before the inflation adjustment, followed by Enterprises B and A. However, after the inflation adjustment, the ranking has changed; Enterprise B has the best performance, followed by Enterprises C and A, respectively.

Özet

Enflasyon düzeltmesi ile işletmelerin mali tablolarının, enflasyonun etkilerinden arındırılması ve daha doğru finansal analiz yapılmasına olanak tanınması beklenmektedir. Çalışmanın amacı, aynı bilanço büyüklüğüne ve kârlılığına sahip işletmelerin performanslarının enflasyon düzeltmesi öncesi ve sonrası karşılaştırılmasıdır. Bu amaç doğrultusunda, üç farklı işletmeye ait çeşitli yapıdaki bilanço ve gelir tabloları oluşturulmuş ve Entropi temelli Copras yöntemi kullanılarak işletmelerin performans sıralamaları yapılmıştır. Sonuçlar, enflasyon düzeltmesi öncesinde C işletmesinin en iyi performansa sahip olduğunu, bunu B ve A işletmelerinin izlediğini göstermektedir. Ancak, enflasyon düzeltmesi sonrasında sıralama değişmiş; B işletmesi en iyi performansı sergilerken, C ve A işletmeleri sırasıyla onu takip etmiştir.

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Cite This Article

Coşkuner, A., Kaygusuzoğlu, M. (2025). Evaluation of the Effect of Inflation Adjustment on Business Performance by Entropy Based Copras Method. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 20 Sayı: 2, 327–350. https://doi.org/10.17153/oguiibf.1551779

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References (74)

  1. Abdur Rouf, Md. (2015). Capital Structure and Firm Performance of Listed Non-Financial Companies in Bangladesh. The International Journal of Applied Economics and Finance, 9(1), 25–32. https://doi.org/10.3923/ijaef.2015.25.32
  2. Acer, A., Genç, T., & Dinçer, E. (2020). Türkiye’de Faaliyet Gösteren Bireysel Emeklilik Şirketlerinin Performansının Entropi ve COPRAS Yöntemi ile Değerlendirilmesi. İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi, 7(1), 153–169. https://doi.org/10.17336/igusbd.560975
  3. Aikhuele, D. O., & Turan, F. B. M. (2016). An Improved Methodology For Multı-Crıterıa Evaluatıons In The Shıppıng Industry. Brodogradnja, 67(3), 59–72. https://doi.org/10.21278/brod67304
  4. Akbalık, M., Yurttadur, M., & Taşcı, M. Z. (2022). Entropi ve Copras Yöntemleriyle Finansal Performans Analizi: Mevduat Ve Katılım Bankaları Karşılaştırması. Journal of Banking and Insurance Review, 16, 13–27.
  5. Akçakaya, O., & Urmak Akçakaya, E. D. (2019). Türkiye’deki Büyükşehirlerin Çevresel Performanslarının Entropi Temelli COPRAS ve ARAS Yöntemleri ile Değerlendirilmesi. OPUS Uluslararası Toplum Araştırmaları Dergisi. https://doi.org/10.26466/opus.556278
  6. Akgemci, A., Kısakürek, M., Kulaklı, A. P., & Özçil, A. (2024). Enflasyon Düzeltmelerinin Firma Performansı Üzerindeki Etkisi: İmalat Sektöründe TOPSİS Yöntemiyle Bir Uygulama. Denetim ve Güvence Hizmetleri Dergisi, 4(2), 162–187.
  7. Albak, E. İ. (2022). Optimization For Multi-Cell Thin-Walled Tubes Under Quasi-Static Three-Point Bending. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44(5), 207. https://doi.org/10.1007/s40430-022-03525-8
  8. Alimi, R. S. (2014). Inflation And Financial Sector Performance: The Case Of Nigeria. Timisoara Journal of Economics and Business, 7(1), 55–69. https://doi.org/10.2478/tjeb-2014-0003
  9. Alinezhad, A., & Khalili, J. (2019). New Methods and Applications in Multiple Attribute Decision Making (MADM) (Vol. 277). Springer International Publishing. https://doi.org/10.1007/978-3-030-15009-9
  10. Al-Slehat, Z. A. F. (2022). The Effect of Equity Financing Structure and Asset Utilization Efficiency on Financial Fragility. International Business Research, 15(12), 132. https://doi.org/10.5539/ibr.v15n12p132
  11. Altay, N. O., & Avcı, M. A. (2013). Finansal Krizlerin Belirleyenleri ve Öngörülebilirliği: Türkiye Üzerine Bir Uygulama. Ege Akademik Bakış (Ege Academic Review), 13(1), 113–113. https://doi.org/10.21121/eab.2013119504
  12. Bošković, G., Stepanov, B., Boskovic, M., Todorović, M., & Čepić, Z. (2024). The Procedure For Calculating İnput Parameters In The Process Of Determining Potential Risk Zones In Warehouses. MMA 2024 – Flexible Technologies, 215–218. https://doi.org/10.24867/MMA-2024-06-003
  13. Bozdoğan, T., & Çetin, Ö. O. (2023). Enflasyon Muhasebesine Geri Dönüş: Enflasyon Muhasebesi̇ Konulu Makalelerin Bibliyometrik Analizi̇. Dumlupınar Üniversitesi İİBF Dergisi, 12, 78–89. https://doi.org/10.58627/dpuiibf.1378427
  14. Chaochao, H. (2023). Research On The İmpact Of Non-Financial Enterprise Leverage Ratio On Systemic Financial Risks. Academic Journal of Business & Management, 5(26). https://doi.org/10.25236/AJBM.2023.052607
  15. Chatterjee, N. C., & Bose, G. K. (2013). A COPRAS-F Base Multi-Criteria Group Decision Making Approach For Site Selection Of Wind Farm. Decision Science Letters, 2(1), 1–10. https://doi.org/10.5267/j.dsl.2012.11.001
  16. Chaurasiya, R., & Jain, D. (2022). Pythagorean Fuzzy Entropy Measure-Based Complex Proportional Assessment Technique For Solving Multi-Criteria Healthcare Waste Treatment Problems. Granular Computing, 7(4), 917–930. https://doi.org/10.1007/s41066-021-00304-z
  17. Chelvier, R., Dammasch, K., Horton, G., Knoll, S.-W., Krull, C., & Rauch-Gebbensleben, B. (2008). A Markov Model For Multi-Criteria Multi-Person Decision Making. 2008 International Conference on Innovations in Information Technology, 262–266. https://doi.org/10.1109/INNOVATIONS.2008.4781672
  18. Çitil, M., Tuğrul, F., & Yılmaz, B. (2019). An Application of Multi Criteria Decision Making: Ranking of School Success. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 15(1), 45–50. https://doi.org/10.18466/cbayarfbe.442031
  19. Domanovic, V., Todorovic, V., & Savovic, S. (2018). Internal Factors Of Bank Profitability İn The Republic Of Serbia. Business and Economic Horizons, 14(3), 659–673. https://doi.org/10.15208/beh.2018.46
  20. Esmaeili-Marzdashti, S., Pirmohammad, S., & Esmaeili-Marzdashti, S. (2017). Crashworthiness Analysis of S-Shaped Structures Under Axial Impact Loading. Latin American Journal of Solids and Structures, 14(5), 743–764. https://doi.org/10.1590/1679-78253430
  21. Etim, E. O., Daferighe, E. E., Enang, E. R., & Nyong, M. B. (2022). Cash Flow Management And Financial Performance Of Selected Listed Companies İn Nigeria. Indo-Asian Journal Of Finance And Accounting, 3(1), 27–46. https://doi.org/10.47509/IAJFA.2022.v03i01.03
  22. Fatmayati, F., Nuraini, R., Nugraheni, M., & Soares, T. G. (2023). Multı-Crıterıa Decısıon Analysıs Usıng Complex Proportıonal Assessments And Rank Order Centroıd Methods In The Selectıon System For Tutorıng Instıtutıons. Jurnal Teknik Informatika (Jutif), 4(5), 1191–1200. https://doi.org/10.52436/1.jutif.2023.4.5.1340
  23. Gandotra, N., Kizielewicz, B., Anand, A., Bączkiewicz, A., Shekhovtsov, A., Wątróbski, J., Rezaei, A., & Sałabun, W. (2021). New Pythagorean Entropy Measure With Application İn Multi-Criteria Decision Analysis. Entropy, 23(12), 1600. https://doi.org/10.3390/e23121600
  24. Gökçen, G., & Öztürk, E. (2023). Yüksek Enflasyonlu Ekonomilerde Finansal Raporlama Kapsamında Özellik Arz Eden Konular. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 8(2), 504–515. https://doi.org/10.29106/fesa.1299626
  25. Hajiagha, S. H. R., Hashemi, S. S., & Zavadskas, E. K. (2013). A Complex Proportional Assessment Method For Group Decision Making İn An İnterval-Valued İntuitionistic Fuzzy Envıronment. Technological and Economic Development of Economy, 19(1), 22–37. https://doi.org/10.3846/20294913.2012.762953
  26. Hami, M. (2017a). The Effect of Inflation on Financial Development Indicators in Iran (2000–2015). Studies in Business and Economics, 12(2), 53–62. https://doi.org/10.1515/sbe-2017-0021
  27. Hami, M. (2017b). The Effect of Inflation on Financial Development Indicators in Iran (2000–2015). Studies in Business and Economics, 12(2), 53–62. https://doi.org/10.1515/sbe-2017-0021
  28. Handayani, S., Perwitasari, E. P., & Hermawan, M. A. (2021). The Effect of Financial Ratio to Financial Distress Mediated by Profitability Ratio in PT Angkasa Pura II (Persero). JEJAK, 14(2), 398–414. https://doi.org/10.15294/jejak.v14i2.32023
  29. Hesham, M., & Abbas, J. (2021). Multi-criteria Decision Making on the Best Drug for Rheumatoid Arthritis. Iraqi Journal of Science, 1659–1665. https://doi.org/10.24996/ijs.2021.62.5.28
  30. Hidayah, N., & Karimah, N. A. (2023). Are Sharia Financing Schemes Profitable? The Case Of İslamic Rural Banks İn İndonesia. El Dınar: Jurnal Keuangan Dan Perbankan Syariah, 11(1), 58–76. https://doi.org/10.18860/ed.v11i1.19561
  31. Jiang, Y., He, H., Zhang, H., Cao, Y., Shi, G., Feng, L., & Yang, J. (2023). Study On The Evolution And Optimization Of The Spatial Structure Of The Oasis İn The Arid Area: A Case Study Of The Aksu River Basin İn China. International Journal of Environmental Research and Public Health, 20(6), 4920. https://doi.org/10.3390/ijerph20064920
  32. Kagochi, J. (2019). Inflation And Financial Sector Development in Sub-Saharan African Countries. Journal of Economic Studies, 46(4), 798–811. https://doi.org/10.1108/JES-10-2017-0310
  33. Kalogeras, N., Pennings, J. M. E., Benos, T., & Doumpos, M. (2013). Which Cooperative Ownership Model Performs Better? A Financial‐Decision Aid Approach. Agribusiness, 29(1), 80–95. https://doi.org/10.1002/agr.21323
  34. Karadağ Ak, Ö., Babuşçu, Ş., & Hazar, A. (2021). BIST Banka Endeksinde Yer Alan Mevduat Bankalarının Finansal Performanslarının Copras Yöntemiyle Değerlendirilmesi. Çankırı Karatekin Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 280(305), 12–1.
  35. Karami, A., & Johansson, R. (2014). Utilization of Multi Attribute Decision Making Techniques to Integrate Automatic and Manual Ranking of Options. Journal Of Informatıon Scıence And Engıneerıng.
  36. Keshavarz Ghorabaee, M., Amiri, M., Salehi Sadaghiani, J., & Hassani Goodarzi, G. (2014). Multiple Criteria Group Decision-Making For Supplier Selection Based On COPRAS Method With İnterval Type-2 Fuzzy Sets. The International Journal of Advanced Manufacturing Technology, 75(5–8), 1115–1130. https://doi.org/10.1007/s00170-014-6142-7
  37. Koçak, H., Kısakürek, M. M., & Babacan, A. (2023). Enflasyon Düzeltme İşlemlerinin İşletme Performansına Etkisi BIST’de Bir Uygulama. Third Sector Social Economic Review, 58(2), 1525–1546.
  38. Krishna, M., Kumar, S. D., Ezilarasan, C., Sudarsan, P. V., Anandan, V., Palani, S., & Jayaseelan, V. (2022). Application Of MOORA &Amp; COPRAS İntegrated With Entropy Method For Multi-Criteria Decision Making İn Dry Turning Process Of Nimonic C263. Manufacturing Review, 9, 20. https://doi.org/10.1051/mfreview/2022014
  39. Kusmayadi, D., & Firmansyah, I. (2021). Assessing Moderating Effects of Board of Directors and Sharia Committee in Improving Performance of Islamic Insurance Company. Review on Islamic Accounting, 1(1). https://doi.org/10.58968/ria.v1i1.101
  40. Liu, H., Jiang, L., & Xu, Z. (2018). Entropy Measures of Probabilistic Linguistic Term Sets. International Journal of Computational Intelligence Systems, 11(1), 45. https://doi.org/10.2991/ijcis.11.1.4
  41. Majumder, M. (2015). Multi Criteria Decision Making (pp. 35–47). https://doi.org/10.1007/978-981-4560-73-3_2
  42. Mao, R. (2023). Verify the Relationship Between a Company’s Earning per Share, Return on Equity, Return on Asset, Sales Growth, Price to Earning Ratio, Current Ratio, Gross Profit Margin, Quick Ratio, Asset Turnover and Its Stock Price. SHS Web of Conferences, 163, 03003. https://doi.org/10.1051/shsconf/202316303003
  43. Moyo, D., & Tursoy, T. (2020). Impact Of Inflation And Exchange Rate On The Financial Performance Of Commercial Banks İn South Africa. Journal of Applied Economic Sciences (JAES), 15(16), 626. https://doi.org/10.57017/jaes.v15.3(69).11
  44. Mukhametzyanov, I. (2021). Specific Character Of Objective Methods For Determining Weights Of Criteria İn MCDM Problems: Entropy, CRITIC And SD. Decision Making: Applications in Management and Engineering, 4(2), 76–105. https://doi.org/10.31181/dmame210402076i
  45. Navita, I. D., Fauzi, A., & Muliasari, I. (2023). The Effect Of Murabahah Financing, Financing Deposit Ratio (Fdr), And Third Party Funds On Profitability With Non-Performing Financing (Npf) As A Moderating Variable İn Bprs. Cashflow: Current Advanced Research On Sharia Fınance And Economıc Worldwide, 2(4), 541–560. https://doi.org/10.55047/cashflow.v2i4.768
  46. Nguyen, H.-T., Md Dawal, S. Z., Nukman, Y., Aoyama, H., & Case, K. (2015). An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation. PLOS ONE, 10(9), e0133599. https://doi.org/10.1371/journal.pone.0133599
  47. Nurrahmi, A. D., Siregar, H., & Bandono, B. (2023). The Effects of Financial Performance and Macroeconomics on Financial Distress in The Energy Sector Before and During Covid-19 Pandemic. Business Review and Case Studies. https://doi.org/10.17358/brcs.4.3.239
  48. Olarewaju, O., Mbambo, M., & Ngiba, B. (2020). Effects of inflation accounting on organizational decisions and financial performance in South African retail stores. Problems and Perspectives in Management, 18(4), 85–95. https://doi.org/10.21511/ppm.18(4).2020.08
  49. Özarı, Ç. (2024). Covıd-19 Sürecinde Ulaştırma ve Depolama Sektöründeki İşletmelerin Finansal Performans Analizi: Entropi Tabanlı Edas ve Copras Yöntemleriyle. Akademik Hassasiyetler, 11(25), 602–631. https://doi.org/10.58884/akademik-hassasiyetler.1433782
  50. Paul, P., & Mitra, P. (2018). Analysis of the Effect of Working Capital Management on Profitability of the Firm: Evidence from Indian Steel Industry. Asia-Pacific Journal of Management Research and Innovation, 14(1–2), 32–38. https://doi.org/10.1177/2319510X18812142
  51. Pramanik, S., Dalapati, S., Alam, S., Smarandache, F., & Roy, T. K. (2018). NS-Cross Entropy-Based MAGDM Under Single-Valued Neutrosophic Set Environment. Information, 9(2), 37. https://doi.org/10.3390/info9020037
  52. Rahim, M., Akhtar, Y., Yang, M.-S., Ali, H. E. M., & Elhag, A. A. (2024). Improved COPRAS Method With Unknown Weights Under p, q -Quasirung Orthopair Fuzzy Environment: Application to Green Supplier Selection. IEEE Access, 12, 69783–69795. https://doi.org/10.1109/ACCESS.2024.3400016
  53. Sahin, I., & Bagriyanik, M. (2015). Multiple Criteria Decision Making İn Distribution System Planning. 2015 9th International Conference on Electrical and Electronics Engineering (ELECO), 453–457. https://doi.org/10.1109/ELECO.2015.7394586
  54. Şahin, İ. E., & Karacan, K. B. (2019). BIST’te İşlem Gören İnşaat İşletmelerinin Çok Kriterli Karar Verme Yöntemleri ile Finansal Performans Ölçümü. International Journal of Multidisciplinary Studies and Innovative Technologies, 3(2), 162–172.
  55. Sakarya, Ş., & Gürsoy, M. (2021). BİST Bankacılık Endeksi’nde Yer Alan Bankaların Finansal Performanslarının Entropi Tabanlı Copras ve Aras Yöntemleri İle Değerlendirilmesi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 6(4), 806–819. https://doi.org/10.29106/fesa.1000264
  56. Silva, G. F. P., & Belderrain, M. C. N. (2019). Prioritization Of Strategic İnitiatives İn The Context Of Natural Disaster Prevention. Brazilian Journal of Operations & Production Management, 16(3), 473–489. https://doi.org/10.14488/BJOPM.2019.v16.n3.a10
  57. Singh, N. K., Balaguru, S., Rathore, R. K., Namdeo, A. K., & Kaimkuriya, A. (2023). Multi-Criteria Decision-Making Technique for Optimal Material Selection of AA7075/SiC Composite Foam using COPRAS Technique. Journal of Mines, Metals and Fuels, 1374–1379. https://doi.org/10.18311/jmmf/2023/34005
  58. Soy Temür, A. (2022). Borsa İstanbul Turizm Endeksi (XTRZM) Firmalarının Entropi Temelli Aras, Copras ve Topsis Yöntemleri İle Finansal Performans Analizi. Verimlilik Dergisi, 2, 183–212. https://doi.org/10.51551/verimlilik.907897
  59. Spronk, J., Steuer, R. E., & Zopounidis, C. (2016). Multicriteria Decision Aid/Analysis in Finance (pp. 1011–1065). https://doi.org/10.1007/978-1-4939-3094-4_24
  60. Sudarsono, H., Afriadi, F., & Suciningtias, S. A. (2021). Do Stability And Size Affect The Profitability Of Islamic Rural Bank İn Indonesia? Jurnal Ekonomi & Keuangan Islam, 7(2), 161–174. https://doi.org/10.20885/jeki.vol7.iss2.art5
  61. Swaleh, C., & Wekasa, M. (2020). Macro Economic Factors And Financial Performance Of Deposit Taking Microfinance İnstitutions İn Mombasa County. Strategic Journal of Business & Change Management, 7(3). https://doi.org/10.61426/sjbcm.v7i3.1705
  62. Taherdoost, H., & Mohebi, A. (2024a). A Comprehensive Guide To The COPRAS Method For Multi-Criteria Decision Making. Journal of Management Science & Engineering Research, 7(2), 1–14. https://doi.org/10.30564/jmser.v7i2.6280
  63. Taherdoost, H., & Mohebi, A. (2024b). A Comprehensive Guide To The COPRAS Method For Multi-Criteria Decision Making. Journal of Management Science & Engineering Research, 7(2), 1–14. https://doi.org/10.30564/jmser.v7i2.6280
  64. Tengilimoğlu, D., Tümer, T., Bennett, R. L., & Younis, M. Z. (2023). Evaluating the Financial Performances of the Publicly Held Healthcare Companies in Crisis Periods in Türkiye. Healthcare, 11(18), 2588. https://doi.org/10.3390/healthcare11182588
  65. Trianto, J., Dartono, D., Nuraini, R., & Rusdianto, H. (2023). Implementation of Complex Proportional Assessment and Rank Order Centroid Methods for Selecting Delivery Services. Building of Informatics, Technology and Science (BITS), 5(1). https://doi.org/10.47065/bits.v5i1.3512
  66. Tsaqila, S. L., Winiarti, S., & Widaningrum, I. (2024). Decision Support System İn Determining The Location Of New Supermarket Branches Using The Copras Method. International Journal of Industrial Optimization, 16–30. https://doi.org/10.12928/ijio.v5i1.9061
  67. Ünvan, Y. A., & Uz, S. (2023). Comparison Of The Financial Performances Of The Companies Operating İn The Renewable Energy Sector Trade On Borsa İstanbul With The Entropy Based Topsis Method. AYBU Business Journal, 3(2), 1–27. https://doi.org/10.61725/abj.1353257
  68. Wang, C.-N., Le, T. Q., Chang, K.-H., & Dang, T.-T. (2022). Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method. Symmetry, 14(5), 1033. https://doi.org/10.3390/sym14051033
  69. Wang, S. (2022). Quantitative Evaluation Of Landscape Architecture Environmental Benefits Based On Multi-Criteria Decision-Making. International Journal of Environmental Technology and Management, 25(1/2), 95. https://doi.org/10.1504/IJETM.2022.120728
  70. Ye, J. (2015). Improved Cross Entropy Measures of Single Valued Neutrosophic Sets and Interval Neutrosophic Sets and Their Multicriteria Decision Making Methods. Cybernetics and Information Technologies, 15(4), 13–26. https://doi.org/10.1515/cait-2015-0051
  71. Yıldırım, K. (2023). Enflasyon İle Enflasyon Dinamikleri Arasındaki Asimetrik İlişkiler: Türkiye Örneği. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 38, 145–158. https://doi.org/10.18092/ulikidince.1173454
  72. Zou, A., Duan, S. X., & Deng, H. (2019). Multicriteria Decision Making for Evaluating and Selecting Information Systems Projects: A Sustainability Perspective. Sustainability, 11(2), 347. https://doi.org/10.3390/su11020347
  73. Navita, I. D., Fauzi, A., & Muliasari, I. (2023). The Effect Of Murabahah Financing, Financing Deposit Ratio (Fdr), And Third Party Funds On Profitability With Non-Performing Financing (Npf) As A Moderating Variable İn Bprs. Cashflow: Current Advanced Research On Sharia Fınance And Economıc Worldwide, 2(4), 541–560. https://doi.org/10.55047/cashflow.v2i4.768
  74. Silva, G. F. P., & Belderrain, M. C. N. (2019). Prioritization Of Strategic İnitiatives İn The Context Of Natural Disaster Prevention. Brazilian Journal of Operations & Production Management, 16(3), 473–489. https://doi.org/10.14488/BJOPM.2019.v16.n3.a10