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Cited by 170

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Process innovation through industry 4.0 technologies, lean practices and green supply chains

Open access
De Giovanni, Pietro, Cariola, Alfio·2021·Research in Transportation Economics

Abstract

Abstract This paper investigates the impact of a process innovation strategy that firms implement through Industry 4.0 (I4.0) technologies on lean practices and green supply chains. It analyses whether process innovation can be used as a lever to strengthen the relationships among Leanness, Green Supply Chain Management and Performance. The results reveal that Leanness facilitates the supplier collaboration on environmental programs and positively contributes to environmental and operational performance. In contrast, it exerts a positive second order effect on economic performance, which should then be pursued as a long term target. A process innovation strategy based on I4.0 technologies improves the effect of Leanness on operational performance, which also leads to higher economic outcomes. Nevertheless, firms can gain higher performance either by collaborating with suppliers on environmental programs or by investing in I4.0 technologies but not with both.

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Metadata

Authors
De Giovanni, P., & Cariola, A.
Venue
Research in Transportation Economics
Publisher
Elsevier BV
Published
2021-12
Volume
90
Pages
100869
ISSN
0739-8859 (ISSN-L)
OpenAlex
W3035571873
Cited by
170
References
2
FWCI
26.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Process innovation through industry 4.0 technologies, lean practices and green supply chains. https://app.cochat.ai/papers/10.1016/j.retrec.2020.100869
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De Giovanni, P., & Cariola, A. (2021). Process innovation through industry 4.0 technologies, lean practices and green supply chains. Research in Transportation Economics. https://doi.org/10.1016/j.retrec.2020.100869

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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.