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Why manufacturers adopt additive manufacturing technologies: The role of sustainability

Open access
Niaki, Mojtaba Khorram, Torabi, S. Ali, Nonino, Fabio·2019·Journal of Cleaner Production

Abstract

Abstract Emerging manufacturing technologies can affect the performance of manufacturing systems considerably. Hence, a proportionate and purposive choice of such technologies would significantly impact the success of a firm. Additive Manufacturing, a leading and impactful technology, is being implemented in many industrial sectors and for a variety of reasons. It presents huge potential benefits in terms of sustainability perspectives. This paper aims to identify and prioritize the determinants of its adoption as well as to clarify the role of sustainability benefits in the decision to adopt. Then, the research seeks to distinguish the priorities of different application sectors through a multi-stage survey. The results show that environmental sustainability benefits are barely relevant to adoption decisions in practice and this is in contrast with the literature stating the huge sustainability benefits. Moreover, the results prove the pivotal role of economic motives in adoption decisions. The findings also indicate that the capability of additive manufacturing for producing almost any complex design is the key driver of its adoption in all sectors.

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Metadata

Authors
Niaki, M. K., Torabi, S. A., & Nonino, F.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-06
Volume
222
Pages
381-392
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2922051008
Cited by
298
References
50
FWCI
16.83
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Why manufacturers adopt additive manufacturing technologies: The role of sustainability. https://app.cochat.ai/papers/10.1016/j.jclepro.2019.03.019
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Niaki, M. K., Torabi, S. A., & Nonino, F. (2019). Why manufacturers adopt additive manufacturing technologies: The role of sustainability. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2019.03.019

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.