TY - JOUR T1 - Investigating the Different Layer’s Risk and the Resilience of Petrochemical Industry Supply ‎Chains and Its Function in the Analytical Model A1 - Mohammad BahramiSeyfabad A1 - Ahmad JafarNejad A1 - EzatollahAsghariZade A1 - HananAmoZad A1 - SeyyedHosseinRazavi JF - international journal of business management JO - INT. J. BUS. MANAG. SN - 2520-3266 Y1 - 2019 VL - 4 IS - 3 SP - 143 EP - 160 N2 - The present study aimed at investigating the risks of various layers and the resilience of ‎petrochemical industry supply chains and its function in the analytical model. This study was ‎developmental in terms of purpose and of descriptive- mathematical models in terms of ‎method. In order to test the model, 50 senior and middle managers from 9 Iranian ‎petrochemical companies were examined to rank the resilience of risks in the companies they ‎were working. In addition, the scoring of risk and resilience of upstream, organizational and ‎downstream processes of these companies was examined. The research tool allowing the ‎respondents to assess the level of risk in the supply chain was derived from the Wagner and ‎Bod’s model (2008). In this study, the research tools were updated based on risk grouping. In ‎addition, the items associated to the evaluation of supply chain resilience in this study were ‎defined based on to the supply chain resilience criteria to the items of stability, redundancy, ‎high-thinking, reaction, and recovery efficiency being regarded the same for all three ‎processes. Since the variables had a various frequency distribution, in this study the threshold ‎levels of Tabachnick and Fidell (2007) were used, such that 0.32 was equal to weak, 0.45 was ‎appropriate, 0.55 was good, 0.63 was very good and 0.71 was excellent. The results indicated ‎that although a supply chain system may have a higher resilience than its risks, its layers may ‎be still at risk‎. UR - https://sciarena.com/article/investigating-the-different-layers-risk-and-the-resilience-of-petrochemical-industry-supply-chains-and-its-function-in-the-analytical-model ER -