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Erschienen in: Operations Management Research 1-2/2022

27.04.2022

Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach

verfasst von: Jaya Priyadarshini, Rajesh Kr Singh, Ruchi Mishra, Surajit Bag

Erschienen in: Operations Management Research | Ausgabe 1-2/2022

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Abstract

The outbreak of the Covid-19 pandemic has come across as an exogenous shock to the firms and their supply chains. It has led firms to rethink and rework their existing robust and resilient supply chains. The purpose of this study is to move beyond robustness and resilience and shift to an antifragile supply chain that sees disorder as an opportunity to learn and grow. In this study, various factors to attain an antifragile supply chain have been identified through literature review and experts’ opinions. Using TISM-MICMAC, structural relationships among these factors have been developed, and, then the factors have been classified as drivers or dependents. The study reveals the importance of having proactive top management as a major driving power to build an antifragile supply chain. Development of a strategy for collaboration and innovation, development of a skilled workforce for technology adoption, and resource allocation for digitalization are some other factors with strong driving power. The novelty of the study lies in its effort to drive the attention of researchers and practitioners towards thinking beyond robustness and resilience and shifting towards antifragility. The study will help firms in strategic decision-making for the adoption of additive manufacturing technology to develop antifragility in the supply chain and save itself from negative consequences in the face of disruption.

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Metadaten
Titel
Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach
verfasst von
Jaya Priyadarshini
Rajesh Kr Singh
Ruchi Mishra
Surajit Bag
Publikationsdatum
27.04.2022
Verlag
Springer US
Erschienen in
Operations Management Research / Ausgabe 1-2/2022
Print ISSN: 1936-9735
Elektronische ISSN: 1936-9743
DOI
https://doi.org/10.1007/s12063-022-00259-7

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