Efficiency Analysis of Gold Mining Companies through Financial Statements

Asir Ozbek

International Journal of Academic Research in Business and Social Sciences, 2016, vol. 6, issue 10, 273-290

Abstract: In this study, efficiency analysis of six companies (IHMAD, IPEKE, KOZAL, KOZAA, METAL and PARKME) that have been active in gold production sector and operating within the scope of Borsa Istanbul (BIST) was procured by considering financial statements through Efficiency Analysis Technique with Output Satisficing (EATWOS) method. Data used in the analysis were collected through financial statements belonging to 2008 – 2015 fiscal period partaken in Public Disclosure Platform (PDP). Within the scope of this study, measurement of economic efficiency of establishments is aimed. In accordance with this purpose, number of employees, total asset values and capitals constituted input factors while output factors are specified as net sales and net profits. In consequence of comparative analysis of results obtained from this implementation, annual performance of companies was designated, and procurement of basic data for future strategic decisions was targeted. When the results of the study conducted is analyzed comparatively, it is determined that KOZAL Company is the most successful company of all periods, and IHMAD Company is determined as the least successful company.

Keywords: Efficiency Analysis; Mining; EATWOS; Multiple Criteria Decision Making (MCDM) (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hrmars.com/hrmars_papers/Efficiency_Analysi ... ncial_Statements.pdf (application/pdf)
http://hrmars.com/hrmars_papers/Efficiency_Analysi ... ncial_Statements.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hur:ijarbs:v:6:y:2016:i:10:p:273-290

Access Statistics for this article

More articles in International Journal of Academic Research in Business and Social Sciences from Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences
Bibliographic data for series maintained by Hassan Danial Aslam ().