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Growing Science » Uncertain Supply Chain Management » The effect of supply chain risk management on supply chain resilience: The intervening part of Internet-of-Things

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 11 Issue 1 pp. 179-186 , 2023

The effect of supply chain risk management on supply chain resilience: The intervening part of Internet-of-Things Pages 179-186 Right click to download the paper Download PDF

Authors: Sura I. Al-Ayed, Ahmad A. Al-Tit

DOI: 10.5267/j.uscm.2022.10.009

Keywords: Supply chain risk management, Internet-of-Things, Supply chain resilience, Jordanian Industrial firms

Abstract: The aim of this study is to investigate the effect of supply chain risk management on supply chain resilience in the presence of Internet-of-Things as an intermediate variable. In other words, the study seeks to identify whether supply chain risk management completely affects supply chain resilience. Collecting data by a questionnaire from a sample composed of managers of Jordanian industrial firms, the results show that supply chain risk management has a direct and indirect effect on supply chain resilience through Internet-of-Things. These results do not support the hypothesis that supply chain risk management completely affects supply chain resilience and accepted the hypothesis that Internet-of-Things intervenes the effect of supply chain risk management on supply chain resilience. The study contributes to the literature through filling a research gap regarding the mediating role of Internet-of-Things in the relationship between supply chain risk management and supply chain resilience and contributes to the industry through instructing managers to adopt technologies such as Internet-of-Things to help their firms cope with supply chain risks.


How to cite this paper
Al-Ayed, S & Al-Tit, A. (2023). The effect of supply chain risk management on supply chain resilience: The intervening part of Internet-of-Things.Uncertain Supply Chain Management, 11(1), 179-186.

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Journal: Uncertain Supply Chain Management | Year: 2023 | Volume: 11 | Issue: 1 | Views: 3461 | Reviews: 0

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