Iron and steel production is one of the important indicators in the country's economies. Developments in this sector, which contribute greatly to industrial development, have effective consequences for the country's production, prosperity and employment. In particular, the importance of the iron and steel sector, which provides continuity on the production sector and gives momentum to the development of the real economy, is increasing day by day. In this study, it was aimed to examine the financial performance of four iron and steel production companies covered by the BIST Base Metal index (xmana) between 2011 and 2019 as a multi-criteria decision-making problem. The Grey Relational Analysis (GRA) method, one of the multi-criteria decision making methods, was used in performance analysis. Seven financial ratios (cost and profitability ratios) for the years 2011-2019 of the companies in iron and steel sector have been determined as criteria. The criteria were translated into a single score by using the GRA method and performance rankings for each year were made. As a result of the study, the most successful companies in terms of performance were EREGL in 2011 and 2013, KRDM in 2012 and ISDMR in 2014-2019.
Financial Performance Multi-Criteria Decision Making Iron And Steel Gray Relational Analysis
Primary Language | Turkish |
---|---|
Subjects | Business Administration |
Journal Section | MAIN SECTION |
Authors | |
Publication Date | March 31, 2021 |
Submission Date | September 1, 2020 |
Published in Issue | Year 2021 Volume: 23 Issue: 1 |
Authorship
MBDD follows the guidelines in COPE Authorship Guideline to ensure fair recognition of contributions to a research paper (https://publicationethics.org/guidance/discussion-document/authorship ). Authorship carries both credit and responsibility, and it is essential that all listed authors have made significant contributions to the research.
For multi-author studies, the Contributions of Authors must be declared after the conclusion and before the bibliography of the paper. The authors' initials and last names should be used to indicate which author contributed to which part of the manuscript. Details can be found by clicking the “Article Submission Checklist” button. The authors can acknowledge contributions that do not merit authorship.
The author(s) should disclose the use of generative Artificial Intelligence (AI) and AI-assisted tools in design and implementation of the research. Such use need to be disclosed within the methodology section of the manuscript. Use of AI does not preclude the manuscript from publication, rather provides a transparent picture of the research.