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Linking operational and environmental improvement through employee involvement

Hanna, Mark D., Rocky Newman, W., Johnson, Pamela·2000·International Journal of Operations & Production Management

Abstract

This paper uses data from 349 employee involvement (EI) team projects to explore the relationships between process type, operational performance, employee involvement, and environmental performance. We investigate the stated goals and outcomes of EI team projects and relationships among these. For repetitive manufacturing processes in particular, we find strong relationships between the operational goals and outcomes of teams and the positive environmental impact outcome. To the extent that environmental performance results from operational systems, this paper suggests that the continuous improvement efforts of operations managers, including EI team projects, can be a key source of environmental improvements. Managers who understand this will take overt steps to leverage their operational improvement systems for environmental gains. From a theory development standpoint, questions are raised regarding the areas of potential synergy between operational and environmental improvement.

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Metadata

Authors
Hanna, M. D., Rocky Newman, W., & Johnson, P.
Venue
International Journal of Operations & Production Management
Publisher
Emerald
Published
2000-02-01
Volume
20
Issue
2
Pages
148-165
ISSN
0144-3577 (ISSN-L)
OpenAlex
W2054645280
Cited by
336
References
0
FWCI
8.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Linking operational and environmental improvement through employee involvement. https://app.cochat.ai/papers/10.1108/01443570010304233
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Hanna, M. D., Rocky Newman, W., & Johnson, P. (2000). Linking operational and environmental improvement through employee involvement. International Journal of Operations & Production Management. https://doi.org/10.1108/01443570010304233

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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.