چکیده:
The present study aimed to determine the effect of risk management on supply chain management(case study: Saipa Company). This study was applied in terms of purpose and descriptive-correlational in terms of data collection method. The tools used in this study include the 29-item questionnaire. The statistical population of this study included 110 managers of Saipa Company in Tehran. In this study, 86 samples were required using the Morgan Table. In general, 100 questionnaires were distributed and 89 questionnaires were completely returned to the researcher. In order to determine the sample size, the Morgan Table was used. Thus, 100 questionnaires were distributed and a number of 89 complete questionnaires were entered the analysis after eliminating the unfilled and unreadable questionnaires. The software used for descriptive statistics included SPSS and PLS for confirmatory factor analysis using the structural equations technique (SEM). The research findings indicated that all research hypotheses, except behavioral uncertainty, other factors such as risk reduction, environmental uncertainty, risk management process, and risk monitoring affect the performance of supply chain.
خلاصه ماشینی:
The research findings indicated that all research hypotheses, except behavioral uncertainty, other factors such as risk reduction, environmental uncertainty, risk management process, and risk monitoring affect the performance of supply chain * .
com68 The Effect of Risk Management on Supply Chain Management … Hadi Rezghishirsavar, Sina ShirTavani Introduction Todays, considering the current opportunities and threats in the industry and business areas and evaluating the power of industries and companies facing uncertainties and risks are of great significance.
Cronbach’s alpha coefficient table for each dimension of the questionnaire {مراجعه شود به فایل جدول الحاقی} Results In order to run the statistical methods and calculate the appropriate test statistics and logical inference about the research hypotheses, the most important measure was selecting an appropriatestatistical method for the study.
The results of the Kolmogorov-Smirnov test {مراجعه شود به فایل جدول الحاقی} As the above table indicated, the significance level for reducing the risk factor 90/330) was more than 0/05 indicating the confirmed null hypothesis and normality of data distribution.
However, the significance level was less than 00/05 for other variables of supply risk management (0/031), risk management process (0/003), risk monitoring (0/04), environmental uncertainty (0/012), and behavioral uncertainty (0/028) indicating the rejected null hypothesis and confirmed the non-normality of data distribution.
The table for path coefficients and comparing them in the studied sample {مراجعه شود به فایل جدول الحاقی} As the above figure indicated, the effect of risk management process on performance (0/235), risk monitoring on performance (0/202), risk reduction factors on performance (0/235), environmental uncertainty on performance (0/284), and behavioral uncertainty on performance (0/134).