Supply chain risk assessment in disruptive times: opportunities and challenges
Journal Publication ResearchOnline@JCUAbstract
Purpose - Proactive risk assessment suggests that risk assessment should emphasize the consequences that it might cause and the opportunities it might create for firms. Hence, this study aims to validate risk impact on supply chain performance in the context of the Vietnamese construction sector. Also, a complex network, in which multiple risk factors mutually affect, impede or promote each other, is developed to assist managers in tackling unpredictable risks proactively. In particular, the authors investigate whether certain risks could be considered either challenges or opportunities for businesses in turbulent times to improve SC performance. Design/methodology/approach - The construction industry is the focal study context as it is one of the most essential industries in charge of providing accommodations, infrastructures and employment for society. 289 valid responses used in this research are from a large-scale survey result, supported by a Japanese government project promoting sustainable socio-economic development in Vietnam. Findings - From the study findings, the authors find that external risk brings opportunities for supply chain performance. Meanwhile, demand risk, when it occurs, can reduce the danger level of operational risk, which is an interesting finding of this research. It is evident that when multiple risk factors mutually affect, impede or promote each other, it provides a more meaningful examination of mutually interconnected supply chain risks. Originality/value - Practitioners should perceive risks as an opportunity than a threat. This study contributes to preventing risks and guaranteeing an effective and efficient supply chain by tackling unpredictable risks in a disruptive period. Moreover, data on validating research models collected during the Covid-19 pandemic and Ukraine and Russia conflicts reflect the topicality of this study.
Journal
Journal of Enterprise Information Management
Publication Name
N/A
Volume
36
ISBN/ISSN
1758-7409
Edition
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Issue
5
Pages Count
30
Location
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Publisher
Emerald
Publisher Url
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Publisher Location
N/A
Publish Date
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Url
N/A
Date
N/A
EISSN
N/A
DOI
10.1108/JEIM-02-2023-0104