Investigate Factors Affecting on the Performance of Agricultural Machinery Companies Based on Taxonomy Algorithm

Journal of System Management

مقاله 4، دوره 3، شماره 3، مهر 2017، صفحه 51-60

نویسنده

Vahide Hajihassani^*

Young Researchers Club, Abhar Branch, Islamic Azad University, Abhar, Iran

چکیده

Taxonomy(general), the practice and science of classification of things or concepts, including the principles that underlie such classification. Economic taxonomy, a system of classification for economic activity. The main objective of the study was to find whether financial ratios affect the performance of the Agricultural Machinery companies in Iran. A firm performance evaluation and its comparison with other companies can help the investors to reach the investment goals. The study is based on secondary data collected from financial reports which is accepted in Tehran Stock Exchange for the period of one year from 1389-1390.This research did by using data of 5 accepted in Tehran stock Exchange Agricultural Machinery companies and the size sample is equal to the size society. In this research, the method is measuring descriptive method and based on and practical applicable goals. In this research used Taxonomy algorithm for performance evaluation companies. From our study can conclude that Eshtad Iran company has the first ranking indicates that some criteria such,, liquidity, activity and financial leverage are affect performance of the Agricultural Machinery companies in Iran.   

کلیدواژه‌ها

Financial ratios؛ Taxonomy Algorithm؛ Liquidity؛ Activity؛ Financial Leverage