Navaei, J., Kabaranzad-Ghadim, M. (2018). Review of Affective Factors on Performance Measurement in Supply Chain Management System (Case Study: IKCo, Iran). Journal of System Management, 4(4), 1-12.
Javad Navaei; Mohammad Reza Kabaranzad-Ghadim. "Review of Affective Factors on Performance Measurement in Supply Chain Management System (Case Study: IKCo, Iran)". Journal of System Management, 4, 4, 2018, 1-12.
Navaei, J., Kabaranzad-Ghadim, M. (2018). 'Review of Affective Factors on Performance Measurement in Supply Chain Management System (Case Study: IKCo, Iran)', Journal of System Management, 4(4), pp. 1-12.
Navaei, J., Kabaranzad-Ghadim, M. Review of Affective Factors on Performance Measurement in Supply Chain Management System (Case Study: IKCo, Iran). Journal of System Management, 2018; 4(4): 1-12.
Review of Affective Factors on Performance Measurement in Supply Chain Management System (Case Study: IKCo, Iran)
1Department of Industrial Management, North Tehran Branch, Islamic Azad University, Tehran, Iran
2Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Receive Date: 14 February 2018,
Revise Date: 08 October 2018,
Accept Date: 18 November 2018
Abstract
This research try to deal with Review the performance measurement in supply chain management (Case Study: IKCO, Iran) and the main question of the research has raised as following: what are the affective factors on performance measurement in supply chain management and how will their prioritization be based on Friedman's Test? The methodology of this research is a kind of applicable descriptive – survey. Statistical population of this research is 63 related managers, top experts and experts of IKCO. After choosing the sample size, validity of questionnaire was appraised by using Cronbach's alpha coefficient that it was efficient and useful. For examining the normality of data distribution of statistical group, Kolmogorov – Smirnoff test was used. Obtained results from examination of conceptual model of research and testing of its hypotheses showed that the distribution of data in statistical group is abnormal. Ranking of examined main factors in conceptual model was conducted on Friedman test. Then for examination of level of main effective factors t-test was used.
Top