American Journal of Business and Operations Research

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https://doi.org/10.54216/AJBOR

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2692-2967ISSN (Online) 2770-0216ISSN (Print)

Volume 0 , Issue 1 , PP: 66-74, 2019 | Cite this article as | XML | Html | PDF | Full Length Article

A Decision Support Tools Using Multi-Criteria Decision-Making Approach for Financial Performance Analysis in a Competitive Global Economy

Ahmed M. Ali 1 * , Ahmed Abdelhafeez Ibrahim 2

  • 1 Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Sharqiyah, Egypt - (aabdelmonem@fci.zu.edu.eg)
  • 2 Faculty of Information Systems and Computer Science, October 6th University, Giza, 12585, Egypt - (aahafeez.scis@o6u.edu.eg)
  • Doi: https://doi.org/10.54216/AJBOR.000105

    Abstract

    Stakeholders may gauge a company's financial well-being, profitability, and efficiency via a financial performance review. An outline of the main points of evaluating financial performance is given in this abstract. Revenue growth, profitability, liquidity, cash flow, return on investment, debt management, asset efficiency, market value, return on equity, and comparative analysis against industry peers are all the evaluation's financial criteria and metrics. The market value, debt levels, liquidity, profitability, cash flow management, revenue-generating capabilities, and the firm's financial condition may be better understood by looking at these metrics. We proposed a methodology to evaluate the financial performance in the competitive global economy. We gather the criteria to be analyzed. So, we used the concept of multi-criteria decision-making (MCDM) to deal with various and conflicting criteria. We compute the weights of the criteria by the mean value. Then, we used the criteria weights as input into the MCDM method. We used the VIKOR method to rank the various companies in this study. We collected ten criteria and 20 companies to be organized. We conducted the sensitivity analysis in two parts and changed the weights of criteria under ten different cases. In the second case, we change the parameter in the VIKOR method with a value between 0.1 and 1. The results of the two cases show the results are stable and the proposed model performs well.

    Keywords :

    Market Analysis , Global Economy , Decision Support , MCDM , VIKOR Method , Financial Performance.

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    Cite This Article As :
    M., Ahmed. , Abdelhafeez, Ahmed. A Decision Support Tools Using Multi-Criteria Decision-Making Approach for Financial Performance Analysis in a Competitive Global Economy. American Journal of Business and Operations Research, vol. , no. , 2019, pp. 66-74. DOI: https://doi.org/10.54216/AJBOR.000105
    M., A. Abdelhafeez, A. (2019). A Decision Support Tools Using Multi-Criteria Decision-Making Approach for Financial Performance Analysis in a Competitive Global Economy. American Journal of Business and Operations Research, (), 66-74. DOI: https://doi.org/10.54216/AJBOR.000105
    M., Ahmed. Abdelhafeez, Ahmed. A Decision Support Tools Using Multi-Criteria Decision-Making Approach for Financial Performance Analysis in a Competitive Global Economy. American Journal of Business and Operations Research , no. (2019): 66-74. DOI: https://doi.org/10.54216/AJBOR.000105
    M., A. , Abdelhafeez, A. (2019) . A Decision Support Tools Using Multi-Criteria Decision-Making Approach for Financial Performance Analysis in a Competitive Global Economy. American Journal of Business and Operations Research , () , 66-74 . DOI: https://doi.org/10.54216/AJBOR.000105
    M. A. , Abdelhafeez A. [2019]. A Decision Support Tools Using Multi-Criteria Decision-Making Approach for Financial Performance Analysis in a Competitive Global Economy. American Journal of Business and Operations Research. (): 66-74. DOI: https://doi.org/10.54216/AJBOR.000105
    M., A. Abdelhafeez, A. "A Decision Support Tools Using Multi-Criteria Decision-Making Approach for Financial Performance Analysis in a Competitive Global Economy," American Journal of Business and Operations Research, vol. , no. , pp. 66-74, 2019. DOI: https://doi.org/10.54216/AJBOR.000105