业务
供应链
供应链风险管理
背景(考古学)
风险分析(工程)
风险管理
情感(语言学)
政府(语言学)
独创性
风险评估
营销
比例(比率)
操作风险
产业组织
供应链管理
财务
计算机安全
计算机科学
服务管理
定性研究
心理学
生物
量子力学
物理
哲学
社会学
沟通
古生物学
语言学
社会科学
作者
An Duong Thi Binh,Thu-Hang Hoang,Tram T. B. Nguyen,Mohammadreza Akbari,Thinh Gia Hoang,Huy Truong Quang
标识
DOI:10.1108/jeim-02-2023-0104
摘要
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.
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