供应链
弹性(材料科学)
业务
产业组织
过程管理
营销
材料科学
复合材料
作者
Shuang Tian,Lin Wu,Maria Pia Ciano,Marco Ardolino,Kulwant S. Pawar
标识
DOI:10.1016/j.cie.2023.109841
摘要
The Covid-19 pandemic has extremely affected the manufacturing supply chain (SC) highlighting the need to deploy dynamic capabilities (DCs) such as supply chain resilience (SCRes) that enable companies to react rapidly and exploit intangible assets to support long-term performance. Concurrent with the needs dictated by the pandemic, companies are faced with rapid technological development driven by Industry 4.0. Massive amounts of information lead to the need for effective 'datafication', where information is standardized and recorded through technologies such as the Internet-of-Things (IoT), and processed by others like Artificial Intelligence (AI). In the disruptive context, companies can remain competitive by turning the crisis into an opportunity for innovation and improving their performance. This study thus explores the impact of datafication, represented by IoT and AI implementation, on manufacturing SC performance and innovativeness and investigates the role of SCRes. Analyzing data collected from 311 Chinese manufacturing companies reveals that datafication positively influences supply chain innovativeness and performance, in which SCRes plays a mediating role. The finding contributes to the ongoing debate on how digital technologies can help organizations improve DCs and achieve competitive advantage. This research also encourages companies, particularly those in developing countries, to take full advantage of Industry 4.0 technologies.
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