- Information technology infrastructures have a Their number, after referring to the organization, was positive and significant impact on supply chain obtained as 950 ones. performance in petrochemical company of Fanavaran. Testing the hypotheses Testing the main hypothesis Sub-hypotheses - The factor of government, as an infrastructure Information technology infrastructures impact of information technology, has a positive and supply chain performance in petrochemical company significant impact on supply chain performance in of Fanavaran. petrochemical company of Fanavaran. Designing H0 hypothesis - The factor of economy, as an infrastructure of Information technology infrastructures impact information technology, has a positive and significant supply chain performance in petrochemical company impact on supply chain performance in petrochemical of Fanavaran. company of Fanavaran. Research method Designing H1 hypothesis In this research, we aimed to examine the impact Information technology infrastructures do not of information technology infrastructures on supply impact supply chain performance in petrochemical chain performance in petrochemical company of company of Fanavaran. Fanavaran. The research method type in this research is descriptive-analytical, and it is applied in terms of Structural equations model the purpose. The following figure shows the results of testing Statistical population the main hypothesis through structural equations The statistical population of this study is modeling. The following figure indicates the standard consisted of all specialists, experts and managers of coefficient (R) among the information technology organizations active in the supply chain of infrastructures affecting supply chain performance. petrochemical company of Fanavaran of Mahshahr. The factor loads inserted on the arrows are all accept the measures, is T-value that given that the above the absolute value of 0.50 which indicates that absolute value of all relations is greater than 2, it can the related indexes are good measures for latent be concluded that the obvious variables are good variables. Another statistic which is used to reject or measures for measuring latent variables As can be seen, firstly, given the significance of ratio of chi 2 to degree of freedom is also lower than t value (1.96<3.26), the main hypothesis is confirmed 4, and ultimately p-value is also greater than 0.05. at 95% confidence level. Secondly, appropriate Path analysis test validity and fitness of the model is confirmed, Path analysis test in standard mode because RMSEA value is lower than 0.07 and the Path analysis test in T-Value mode Testing the first sub-hypothesis Designing H0 hypothesis
- Information technology infrastructures have a positive and significant impact on supply chain performance in petrochemical company of Fanavaran. Sub-hypotheses - The factor of government, as an infrastructure of information technology, has a positive and significant impact on supply chain performance in petrochemical company of Fanavaran. - The factor of economy, as an infrastructure of information technology, has a positive and significant impact on supply chain performance in petrochemical company of Fanavaran. Research method In this research, we aimed to examine the impact of information technology infrastructures on supply chain performance in petrochemical company of Fanavaran. The research method type in this research is descriptive-analytical, and it is applied in terms of the purpose. Statistical population The statistical population of this study is consisted of all specialists, experts and managers of organizations active in the supply chain of petrochemical company of Fanavaran of Mahshahr. Their number, after referring to the organization, was obtained as 950 ones. Testing the hypotheses Testing the main hypothesis Information technology infrastructures impact supply chain performance in petrochemical company of Fanavaran. Designing H0 hypothesis Information technology infrastructures impact supply chain performance in petrochemical company of Fanavaran. Designing H1 hypothesis Information technology infrastructures do not impact supply chain performance in petrochemical company of Fanavaran. Structural equations model The following figure shows the results of testing the main hypothesis through structural equations modeling. The following figure indicates the standard coefficient (R) among the information technology infrastructures affecting supply chain performance. The factor loads inserted on the arrows are all above the absolute value of 0.50 which indicates that the related indexes are good measures for latent variables. Another statistic which is used to reject or accept the measures, is T-value that given that the absolute value of all relations is greater than 2, it can be concluded that the obvious variables are good measures for measuring latent variables As can be seen, firstly, given the significance of t value (1.96<3.26), the main hypothesis is confirmed at 95% confidence level. Secondly, appropriate validity and fitness of the model is confirmed, because RMSEA value is lower than 0.07 and the ratio of chi 2 to degree of freedom is also lower than 4, and ultimately p-value is also greater than 0.05. Path analysis test Path analysis test in standard mode Path analysis test in T-Value mode Testing the first sub-hypothesis Designing H0 hypothesis
06_32885nys101017_42_49.docx