Abstract:
In an era marked by continuous fluctuations in the world economy, effective supply
chain management stands as a critical determinant of success for businesses operating on a global scale. The aim of this research is to investigate guidelines for international supply chain management in the context of global economic fluctuations. Subsequently, a structural equation model was developed. The research encompasses both qualitative and quantitative methodologies. Quantitative data was gathered through a survey consisting of 500 executives in the industrial sector engaged in international import and export activities. The analysis involved the use of descriptive statistics, refence statistics, and multiple statistics.
The research shows Guidelines for Managing Global Supply Chains in a Period of
Global Economic Volatility application composed of 4 aspects. The most important
item of each aspects are as following : 1) Technology (X̅ = 4.56) the most significant
items include planning the utilization of information technology systems for supply
chain operations in alignment with the organization's strategic plan, 2) Communication integration (X̅ = 4.43) the most critical elements involve enhancing the skills and capabilities of personnel to create effective relationship management strategies with trading partners within the supply chain system, 3) Operation Competency (X̅ = 4.39) the most crucial factors involve establishing ambitious Key Performance Indicators (KPls) that drive changes in the behavior of the organization's personnel, and 4) Economic Environmental (X̅ = 4.37) the most critical aspects include monitoring both domestic and international economic conditions to prepare a business plan. In addition, the hypothesis test showed that the difference in manufacturing enterprise sizes revealed overall aspects that were not significantly different at the level of 0.05. The analysis of the developed structural equation model showed that it was in accordance and harmony with the empirical data and passed the evaluation criteria. Its Chi-square probability level, relative Chi-square, the goodness of fit index, and root mean square error of approximation were 0.089, 1.108, 0.950, and 0.015, respectively.