TY - JOUR
T1 - Additive manufacturing technology adoption for supply chain agility
T2 - a systematic search and review
AU - Naghshineh, Bardia
N1 - Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - Motivated by the dynamic capability view of the firm toward technology adoption, in this study, a systematic search and critical review of the literature is performed to explain how additive manufacturing (AM), more commonly known as 3D printing, affects different dimensions of supply chain agility (SCA), subsequently influencing the macro-level Supply Chain Operations Reference (SCOR) model processes, namely, Plan, Source, Make, Deliver, and Enable. Based on the findings, a comprehensive framework is developed outlining the adoption features and barriers of AM technology that affect different SCA dimensions and macro-level SCOR processes. Hence, this macro-level framework promotes strategy analysis for improving SCA and top-level supply chain management (SCM) processes through AM technology adoption. Moreover, propositions are put forward that can be tested empirically and refined contextually by future research. Finally, directions for future research are identified to further investigate the subject matter.
AB - Motivated by the dynamic capability view of the firm toward technology adoption, in this study, a systematic search and critical review of the literature is performed to explain how additive manufacturing (AM), more commonly known as 3D printing, affects different dimensions of supply chain agility (SCA), subsequently influencing the macro-level Supply Chain Operations Reference (SCOR) model processes, namely, Plan, Source, Make, Deliver, and Enable. Based on the findings, a comprehensive framework is developed outlining the adoption features and barriers of AM technology that affect different SCA dimensions and macro-level SCOR processes. Hence, this macro-level framework promotes strategy analysis for improving SCA and top-level supply chain management (SCM) processes through AM technology adoption. Moreover, propositions are put forward that can be tested empirically and refined contextually by future research. Finally, directions for future research are identified to further investigate the subject matter.
KW - 3D printing
KW - Additive manufacturing (AM)
KW - Digital technology adoption
KW - Macro-level framework
KW - Strategy analysis
KW - Supply chain agility (SCA)
UR - http://www.scopus.com/inward/record.url?scp=85196275365&partnerID=8YFLogxK
U2 - 10.1080/00207543.2024.2356629
DO - 10.1080/00207543.2024.2356629
M3 - Review article
AN - SCOPUS:85196275365
SN - 0020-7543
JO - International Journal Of Production Research
JF - International Journal Of Production Research
ER -