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

Greener supplier selection: state of the art and some empirical evidence

Genovese, Andrea, Lenny Koh, S.C., Bruno, Giuseppe, Esposito, Emilio·2013·International Journal of Production Research

Abstract

In recent years, an increasing environmental awareness has favoured the emergence of the new green supply chain paradigm; thus, also in the supplier selection problem, green criteria were incorporated. The aim of this paper is twofold. First, a careful scrutiny of the papers appearing in international scientific journals in recent years on the greener supplier selection problem is provided, highlighting utilised methodologies and current issues; second, a verification of the penetration of environmental and green criteria for the supplier selection in corporate practice is performed, using a questionnaire survey targeting the top 100 manufacturing companies operating in South Yorkshire (UK) and two in-depth interviews at large MNE firms operating in complex industries. Results show that, while interest in the literature is growing, there is little empirical evidence of the transfer of these applications into the real world, highlighting a persistent dichotomy between theory and practice. The reasons for this dichotomy are also investigated.

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Metadata

Authors
Genovese, A., Lenny Koh, S. C., Bruno, G., & Esposito, E.
Venue
International Journal of Production Research
Published
2013-05
Volume
51
Issue
10
Pages
2868-2886
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
OpenAlex
W2161573244
Cited by
170
References
2
FWCI
55.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Greener supplier selection: state of the art and some empirical evidence. https://app.cochat.ai/papers/10.1080/00207543.2012.748224
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Genovese, A., Lenny Koh, S. C., Bruno, G., & Esposito, E. (2013). Greener supplier selection: state of the art and some empirical evidence. International Journal of Production Research. https://doi.org/10.1080/00207543.2012.748224

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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.