چکیده:
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.
خلاصه ماشینی:
In this paper, first, by studying the research history and literature and interviewing academic and industrial experts of automobile industry, components of trust-based cooperation were identified, and then using PLS software and Structural Equation verification and path analysis, the structure and relationships between variables were studied and credibility of the model was tested.
In the second step, after identifying and selecting the latent variables, the primary questionnaire was designed and 9 academic experts of the automobile industry were asked to present their advice and suggestions to evaluate the validity of the questions related to variables of the supply chain relationships and the links between them and to approve the conceptual model.
The second population, "companies", was used to describe and define the variables and their relationships and to execute the structural equation modeling and assess the performance of the companies of the supply chain and also to measure validation and fitness of the model.
The first step was done after studying the research literature and choosing the indicators, in order to acquire opinions of experts and modify the indexes that impact trust-based cooperation in supply chain.
Table 2 presents the final variables of the model of cooperation based on trust in the automotive supply chain and prior research about each variable.
822, it can be said that in the confidence level of 99% between supplier selection criteria in the performance of companies in the automotive supply chain and supply chain there is a significant positive relationship, so the first research hypothesis is confirmed.