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A Financial Performance Evaluation via Hybrid MCDM methods: A case of Amazon.com Inc

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  • Doğan Akdemir

    (İstanbul Ticaret Üniversitesi)

  • Oğuz Şimşek

    (İstanbul Ticaret Üniversitesi)

Abstract

This study aims to make inferences about company performance by analyzing the financial performance of Amazon. com, Inc. over a period of fifteen years (2005-2019) using selected evaluation criteria in accordance with Multi-Criteria Decision-Making (MCDM) methods. For this purpose, CRiteria Importance Through Intercriteria Correlation (CRITIC) was used for weighting the evaluation criteria, and COmplex PRoportional ASsessment (COPRAS), Additive Ratio ASsessment (ARAS), Simple Additive Weighting (SAW), and BORDA Count and Copeland methods were used to rank financial performance by years. From the results obtained through the CRITIC method, it was found that the most crucial evaluation criterion was the debt-to-equity (DER) ratio, and the least important was the return-on-assets (ROA) ratio. The BORDA Count and Copeland methods were used to obtain an integrative and single ranking series due to varying results of the COPRAS, ARAS, SAW methods by years. According to the scores obtained using BORDA and Copeland methods 2005 was the best year and 2014 was the least successful year in terms of financial performance. During these years, developments experienced in the company were discussed, and an attempt was made to examine the reasons behind the financial performance.

Suggested Citation

  • Doğan Akdemir & Oğuz Şimşek, 2023. "A Financial Performance Evaluation via Hybrid MCDM methods: A case of Amazon.com Inc," Istanbul Business Research, Istanbul University Business School, vol. 52(1), pages 199-232, April.
    • Handle: RePEc:ist:ibsibr:v:52:y:2023:i:1:p:199-232
    DOI: 10.26650/ibr.2023.52.994729
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    as
    1. Mulliner, Emma & Smallbone, Kieran & Maliene, Vida, 2013. "An assessment of sustainable housing affordability using a multiple criteria decision making method," Omega, Elsevier, vol. 41(2), pages 270-279.
    2. Hannan Amoozad Mahdiraji & Sepas Arzaghi & Gintaras Stauskis & Edmundas Kazimieras Zavadskas, 2018. "A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture," Sustainability, MDPI, vol. 10(5), pages 1-26, May.
    3. Mohammed Ayoub Ledhem & Mohammed Mekidiche, 2020. "Economic growth and financial performance of Islamic banks: a CAMELS approach," Islamic Economic Studies, Emerald Group Publishing Limited, vol. 28(1), pages 47-62, July.
    4. Ricardo Malagueño & Ernesto Lopez-Valeiras & Jacobo Gomez-Conde, 2018. "Balanced scorecard in SMEs: effects on innovation and financial performance," Small Business Economics, Springer, vol. 51(1), pages 221-244, June.
    5. Jalil Heidary Dahooie & Edmundas Kazimieras Zavadskas & Amir Salar Vanaki & Hamid Reza Firoozfar & Mahnaz Lari & Zenonas Turskis, 2019. "A new evaluation model for corporate financial performance using integrated CCSD and FCM-ARAS approach," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 1088-1113, January.
    6. Gudiel Pineda, Pedro Jose & Liou, James J.H. & Hsu, Chao-Che & Chuang, Yen-Ching, 2018. "An integrated MCDM model for improving airline operational and financial performance," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 103-117.
    7. Michael Doumpos & Constantin Zopounidis & Pantelis Fragiadakis, 2016. "Assessing the financial performance of European banks under stress testing scenarios: a multicriteria approach," Operational Research, Springer, vol. 16(2), pages 197-209, July.
    8. Sarveshwar Kumar Inani & Rohit Gupta, 2017. "Evaluating financial performance of Indian IT firms: an application of a multi-criteria decision-making technique," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 6(2), pages 126-139.
    9. Paolacci, Gabriele & Chandler, Jesse & Ipeirotis, Panagiotis G., 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Cambridge University Press, vol. 5(5), pages 411-419, August.
    10. S. Visalakshmi & P. Lakshmi & M.S. Shama & Kamala Vijayakumar, 2015. "An integrated fuzzy DEMATEL-TOPSIS approach for financial performance evaluation of GREENEX industries," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 23(3), pages 340-362.
    11. William Ludwin, 1978. "Strategic voting and the borda method," Public Choice, Springer, vol. 33(1), pages 85-90, March.
    12. Ledhem, Mohammed Ayoub & Mekidiche, Mohammed, 2020. "Economic growth and financial performance of Islamic banks: a CAMELS approach," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 28, pages 47-62.
    13. Halim Kazan & Omer Ozdemir, 2014. "Financial Performance Assessment of Large Scale Conglomerates Via Topsis and Critic Methods," International Journal of Management and Sustainability, Conscientia Beam, vol. 3(4), pages 203-224.
    14. C. West Churchman & Russell L. Ackoff, 1954. "An Approximate Measure of Value," Operations Research, INFORMS, vol. 2(2), pages 172-187, May.
    15. Aswini Kumar Mishra & Shikhar Jain & R. L. Manogna, 2021. "Does corporate governance characteristics influence firm performance in India? Empirical evidence using dynamic panel data analysis," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 18(1), pages 71-82, March.
    16. Zynolabdin Rahmani & Elham Keshavarz, 2015. "Prioritisation of technological capabilities to maximise the financial performance by fuzzy AHP," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 22(3), pages 263-286.
    17. Halim Kazan & Ömer Özdemir, 2014. "Financial Performance Assessment of Large Scale Conglomerates Via Topsis and Critic Methods," International Journal of Management and Sustainability, Conscientia Beam, vol. 3(4), pages 203-224.
    18. Mohamed Abdel-Basset & Weiping Ding & Rehab Mohamed & Noura Metawa, 2020. "An integrated plithogenic MCDM approach for financial performance evaluation of manufacturing industries," Risk Management, Palgrave Macmillan, vol. 22(3), pages 192-218, September.
    19. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
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