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Year 2015, Volume: 36 Issue: 3, 3549 - 3555, 13.05.2015

Mohammad Reza Sheıkhı , Vahide Hajıhassanı

Abstract

References

  • Azar, A. & Rajabzade, A. (1391). Using Taxonomy in priority setting, Applied Decision Making MADM approach (pp. 89-90). Negahe Danesh.
  • Rahnamaye roudposhty ,F. & Nikoomaram ,H. & shahoordiani,SH. (1390),. Strategic Financial Management(Value Creation) [Risk Based Management]. Hakim bashi.
  • Asgarpour M.J.(1387).Multiple Criteria Decision Making, Tehran University.
  • Rangriz, H & Jalilee, M. & Hajihassani V.(2012).Performance Evaluation of Iran Cement Companies based on AHP and TOPSIS Methods, Technical Journal of Engineering and Applied Sciences, 2(9):285-292.
  • Hajihassani V.(2013). Using Latin Square Design Model in The Study of Factors Affecting on Mass Construction Industry, Iranian Journal of Investment Knowledge, Special Issue, 179-188.
  • Hajihassani V. (2013).The Relationship between Working Capital Management and Profitability: A Case Study of Cement Industry in Iran, Journal of Basic and Applied Scientific Research, 3(3):57-61.
  • Esmailpour M.(1383). Investment Guide In the Stock Exchange: Financial Statement Analysis, Commercial publishing.

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

Year 2015, Volume: 36 Issue: 3, 3549 - 3555, 13.05.2015

Mohammad Reza Sheıkhı , Vahide Hajıhassanı

Abstract

Abstract. 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.

Keywords

Financial Ratios Taxonomy algorithm; liquidity ; activity ; financial leverage

References

  • Azar, A. & Rajabzade, A. (1391). Using Taxonomy in priority setting, Applied Decision Making MADM approach (pp. 89-90). Negahe Danesh.
  • Rahnamaye roudposhty ,F. & Nikoomaram ,H. & shahoordiani,SH. (1390),. Strategic Financial Management(Value Creation) [Risk Based Management]. Hakim bashi.
  • Asgarpour M.J.(1387).Multiple Criteria Decision Making, Tehran University.
  • Rangriz, H & Jalilee, M. & Hajihassani V.(2012).Performance Evaluation of Iran Cement Companies based on AHP and TOPSIS Methods, Technical Journal of Engineering and Applied Sciences, 2(9):285-292.
  • Hajihassani V.(2013). Using Latin Square Design Model in The Study of Factors Affecting on Mass Construction Industry, Iranian Journal of Investment Knowledge, Special Issue, 179-188.
  • Hajihassani V. (2013).The Relationship between Working Capital Management and Profitability: A Case Study of Cement Industry in Iran, Journal of Basic and Applied Scientific Research, 3(3):57-61.
  • Esmailpour M.(1383). Investment Guide In the Stock Exchange: Financial Statement Analysis, Commercial publishing.
There are 7 citations in total.

Details

Journal Section Special
Authors

Mohammad Reza Sheıkhı

Vahide Hajıhassanı This is me

Publication Date May 13, 2015
Published in Issue Year 2015 Volume: 36 Issue: 3

Cite

APA Sheıkhı, M. R., & Hajıhassanı, V. (2015). Investigate Factors Affecting on the performance of Agricultural Machinery Companies Based on Taxonomy Algorithm. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, 36(3), 3549-3555.
AMA Sheıkhı MR, Hajıhassanı V. Investigate Factors Affecting on the performance of Agricultural Machinery Companies Based on Taxonomy Algorithm. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. May 2015;36(3):3549-3555.
Chicago Sheıkhı, Mohammad Reza, and Vahide Hajıhassanı. “Investigate Factors Affecting on the Performance of Agricultural Machinery Companies Based on Taxonomy Algorithm”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36, no. 3 (May 2015): 3549-55.
EndNote Sheıkhı MR, Hajıhassanı V (May 1, 2015) Investigate Factors Affecting on the performance of Agricultural Machinery Companies Based on Taxonomy Algorithm. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36 3 3549–3555.
IEEE M. R. Sheıkhı and V. Hajıhassanı, “Investigate Factors Affecting on the performance of Agricultural Machinery Companies Based on Taxonomy Algorithm”, Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, vol. 36, no. 3, pp. 3549–3555, 2015.
ISNAD Sheıkhı, Mohammad Reza - Hajıhassanı, Vahide. “Investigate Factors Affecting on the Performance of Agricultural Machinery Companies Based on Taxonomy Algorithm”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 36/3 (May 2015), 3549-3555.
JAMA Sheıkhı MR, Hajıhassanı V. Investigate Factors Affecting on the performance of Agricultural Machinery Companies Based on Taxonomy Algorithm. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36:3549–3555.
MLA Sheıkhı, Mohammad Reza and Vahide Hajıhassanı. “Investigate Factors Affecting on the Performance of Agricultural Machinery Companies Based on Taxonomy Algorithm”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, vol. 36, no. 3, 2015, pp. 3549-55.
Vancouver Sheıkhı MR, Hajıhassanı V. Investigate Factors Affecting on the performance of Agricultural Machinery Companies Based on Taxonomy Algorithm. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2015;36(3):3549-55.