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Cited by 218

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Identifying effective PMSs for the deployment of “green” manufacturing strategies

Azzone, Giovanni, Noci, Giuliano·1998·International Journal of Operations & Production Management

Abstract

Environmental issues are rapidly emerging as one of the most important topics in strategic manufacturing decisions. Growing public awareness and increasing government interest in the environment have induced many companies to adopt programmes aimed at improving the environmental performance of their operations. State of the art literature has proposed many models to support executives in the assessment of a company’s environmental performance. Unfortunately, none of these identifies operating guidelines on how the systems should be adapted to support the deployment of different types of “green” manufacturing strategies. The present paper seeks to illustrate techniques and architecture for performance measurement systems (PMSs) to support the implementation of feasible “green” manufacturing strategies.

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Metadata

Authors
Azzone, G., & Noci, G.
Venue
International Journal of Operations & Production Management
Publisher
Emerald
Published
1998-04-01
Volume
18
Issue
4
Pages
308-335
ISSN
0144-3577 (ISSN-L)
OpenAlex
W2088717067
Cited by
218
References
1
FWCI
3.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Identifying effective PMSs for the deployment of “green” manufacturing strategies. https://app.cochat.ai/papers/10.1108/01443579810199711
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Azzone, G., & Noci, G. (1998). Identifying effective PMSs for the deployment of “green” manufacturing strategies. International Journal of Operations & Production Management. https://doi.org/10.1108/01443579810199711

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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.