Supply Chain Management

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.

The purpose of this research is to identify factors and components that affect a trust-based cooperation in the automobile supply chain and their impact on the performance of the supply chain companies. This paper includes 2 parts. In the first part, by studying the research history and literature and interviewing academic and industrial scholars and experts, four hidden variables of trust-based cooperation in automobile industry were identified and the basic research model was designed. In the second part, using Structural Equation verification and path analysis, the impact of these variables on trust-based cooperation and the impact of trust-based cooperation on the performance of the supply chain companies were studied. Research population consisted of Iran-Khodro and Saipa’s supply chain companies including part makers, major car manufacturers and distributors. Data gathering method was questionnaires that were given to 400 companies –one questionnaire per company- 196 of which were returned and analyzed. In this phase, first, by confirmatory factor analysis and path analysis, validity and stability of the indexes that were derived from the model in the first phase, were tested, all of which were confirmed. Four hypotheses were developed based on the conceptual model of the research and tested by path analysis. According to the findings, 3 of the hypotheses were confirmed and one was rejected. Based on the results of the research, some suggestions were presented for improving the performance of companies in the automobile supply chain and for future researches. .

The main aim of this study is proposing an assessment model for evaluating the supply chain sustainability across the automotive sector. In this study, through reviewing the sustainability indicators in the economic, social, environmental, and governance pillars, the fuzzy Delphi is applied. Then, survey method is used to implement the model designed in CANFIS to evaluate the sustainability indicators. In this research, the proposed model was used for evaluating the sustainability in four pillars which is more inclusive than previous research. To improve the sustainability, it must be evaluated and measured so that after the improvement measures, the results are determined through measurement. According to the findings, it was concluded that the model designed in CANFIS was a reliable tool for assessing the sustainability .

The objective of this research is to develop the green tourism supply chain management model for the sports industry. The research method is descriptive - correlational. 140 managers and sports experts in the country responded to a questionnaire extracted from the qualitative section (systematic exploratory) including 15 variables and 59 items on a 5- point Likert scale. SPSS, Smart PLS software was used for modeling. The results showed that the effect of three environmental, tourism, and sports ecosystems on ecological management in the sports industry is important (with coefficients of 0.54, 0.88, and 0.63, respectively). The effect of green shopping on green consumption and green recycling was significant with coefficients of 0.67 and 0.43. Green consumption and green recovery variables had significant effects on the consequences of the green tourism supply chain with coefficients of 0.88 and 0.62. In general, based on research findings, green tourism supply chain management in sport manufacturing firms is systematic and result from the impact of factors associated with the ecosystem, industry, and customer point of view.