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Management practices for environmental innovation and performance

Theyel, Gregory·2000·International Journal of Operations & Production Management

Abstract

This paper explores whether there are discernible differences in the environmental innovation and performance of US chemical firms that can be explained by differences in the management practices and characteristics of the firms. Using data from a national survey, firm visits, and phone interviews, this research assesses the pervasiveness of the adoption of environmental management practices. It also assesses whether the adoption of these practices is related to leadership in environmental innovation and performance. This paper shows high levels of adoption of several practices for improving environmental innovation and performance. Firms are using practices such as total quality management, certification of suppliers, R&D, and the involvement of employees in innovation and training to integrate environmental management with their production systems. In addition, firms with the highest adoption levels of environmental practices have substituted cleaner materials and changed their production processes for cleaner production, and they are leaders in reducing their generation of chemical waste.

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Metadata

Authors
Theyel, G.
Venue
International Journal of Operations & Production Management
Publisher
Emerald
Published
2000-02-01
Volume
20
Issue
2
Pages
249-266
ISSN
0144-3577 (ISSN-L)
OpenAlex
W2117594400
Cited by
304
References
0
FWCI
23.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Management practices for environmental innovation and performance. https://app.cochat.ai/papers/10.1108/01443570010304288
The paper
Theyel, G. (2000). Management practices for environmental innovation and performance. International Journal of Operations & Production Management. https://doi.org/10.1108/01443570010304288

Data sources

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.