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Assessment and ranking of automobile manufactures listed on the Tehran Stock Exchange via utilizing ISM and BWM methods | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 229، دوره 13، شماره 2، مهر 2022، صفحه 2849-2863 اصل مقاله (551.8 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.26816.3418 | ||
| نویسندگان | ||
| Saber Amjadian؛ Ata Mohammadi* ؛ Behzad Parvizi | ||
| Accounting Group, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran | ||
| تاریخ دریافت: 27 آبان 1400، تاریخ بازنگری: 07 بهمن 1400، تاریخ پذیرش: 26 بهمن 1400 | ||
| چکیده | ||
| Appraising and evaluating the financial performance of companies as well as the extent to which they achieve their specified objectives are among the important methods for identifying weaknesses, ameliorating them, as well as making financial decisions. However, specialized performance analysis requires the deployment of accurate and comprehensive performance evaluation criteria. In this study, the financial performance of car companies active on the Tehran Stock Exchange shall be reviewed and evaluated. The automotive industry is one of the oldest industries in the country's economy as well as the capital market. Due to its strategic significance as well as creating countless job opportunities and being among the ``mother industries'', despite multiple problems and obstacles, this industry has always been supported and valued by the government. This support and backing is likely to continue. It is estimated there are approx 60 companies operating in this industry. Hence, for this analysis, upon conferring with relevant experts, 50 financial ratios were utilized (49 ratios were finalized). The ratios were classified into 6 categories: conjunctive, economic, leverage, liquidity, profitability and activity. These ratios were weighted and prioritized by experts. The analysis was conducted utilizing the \textbf{\textit{ligo}} software and via the multivariate decision criteria of best/worst and the Aras technique. Ultimately, the companies were ranked. The assessment was performed on companies whose ratios were available. The findings demonstrated that the Mashhad Ring Manufacturing Company, Saipa Azin and Iran Khodro companies were ranked 1 to 3, respectively. Meanwhile, Irandor Foundry Industry Company was ranked in the last place. | ||
| کلیدواژه‌ها | ||
| Performance appraisal؛ financial ratios؛ best worst method؛ Tehran Stock Exchange | ||
| مراجع | ||
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[1] A.R. Ali Ahmadi, M. Jafari Eskandari, G.H. Khaleghi and H. Rashtbari, Develop a new model for ranking ebusinesses using structural equation modeling and fuzzy hierarchical analysis, Modiriyat-E-Farda J. 14 (2015), no. 43, 3–22.
[3] M. Amiri and M.M. Emamat, A goal programming model for BWM, Int. J. Inf. 31 (2020), no. 1, 21–34. [4] M. Armstrong, Performance management: Key strategies and practical guideline, Kogan Page Business Books, 2000. [5] Y.N. Bayrajdaroglu and C. Kahraman, Application of fuzzy multi-criteria decision making methods for financial performance evaluation of Turkish manufacturing industries, Expert Syst. Appl. 39 (2012), 350–364. [6] X. Chang, K. Fu, A. Low and W. Zhang, Non-executive employee stock options and corporate innovation, J. Financ. Econ. 115 (2017), no. 1, 168–188. [7] A. Ghasemi, Identification and ranking of components involved in supply chain competitiveness using PLS-BWMFAHP techniques (Case study: Payam Shoe Company), First Int. Conf. New Manag. Parad. Bus. Organ. Intell., 2016. [8] M. Karbasian, M. Javanmardi, A. Khabushani and M. Zanjirchi, A hybrid approach using ISM for leveling agile criteria and fuzzy AHP to determine the relative weights of evaluation criteria and fuzzy TOPSIS to rank the alternatives, J. Prod. Oper. Manag. 2 (2011), no. 1, 107–134. [9] S. Khaajavi, H. Fatahi Nafchi and M.H. Gadirian Arani, Ranking and evaluation of the financial performance of selected companies and industries in Tehran Stock Exchange utilizing fuzzy-AHP-Vicor combined model: Case study: Pharmaceutical industry companies, basic metals, automobiles and parts/components, Audit. Sci. 15 (2015), no. 60, 25–46. [10] S. Lee and W.G. Kim, EVA, refined EVA, MVA or traditional performance measures, Int. J. Manag. 28 (2009), no. 1, 442–437. [11] A. Noravesh, Relationship assessment between operating cash flows, operating profit and economic value added with wealth created for shareholders, Account. Audit. Rev. 11 (2009), no. 37, 112–146. [12] I. Noravesh and B. Mashayekhi, Information content enhancing value added economically and cash value against accounting profits and cash from operations, Financ. Res. J. 6 (2004), no. 1, 131–150. [13] G. Panayiotis, Wealth added financial management research, University of Piraeus, Department of Business Administration, Mibes E-Book, 2008. [14] J. Rezaei, Best-worst multi-criteria decision-making method, Omega 53 (2015), June 2015, 49–57. [15] G.A. Safayi and S. Khalili, Evaluating the financial performance of companies operating in the Tehran Stock Exchange using multi-criteria decision-making techniques, J. Executive Manag. 14 (2015), no. 7, 53–73. [16] M.J. Sheikh, Performance evaluation of Tehran stock exchange brokerage companies utilizing AHP fuzzy and TOPSIS methods, Financ. Manag. Account. Perspect. 3 (2013), 83–105. | ||
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