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Cited by 426

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

Value mapping for sustainable business thinking

Open access
Bocken, N.M.P., Rana, P., Short, S.W.·2015·Journal of Industrial and Production Engineering

Abstract

Pressures on business to operate sustainably are increasing. This requires companies to adopt a systemic approach that seeks to integrate consideration of the three dimensions of sustainability – social, environmental, and economic – in a manner that generates shared value creation for all stakeholders including the environment and society. This is referred to as sustainable business thinking. The business model concept offers a framework for system-level innovation for sustainability and provides the conceptual linkage with the activities of the firm such as design, production, supply chains, partnerships, and distribution channels. A value mapping tool has been presented in the literature to assist in sustainable business model innovation. This study explores the use of value mapping for broader sustainable business thinking, by reflection on its use in workshop settings. A range of new applications is identified which is expected to be of interest to business practitioners, policy makers, and academic researchers.

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Metadata

Authors
Bocken, N. M. P., Rana, P., & Short, S. W.
Venue
Journal of Industrial and Production Engineering
Published
2015-01-02
Volume
32
Issue
1
Pages
67-81
ISSN
  • 2168-1015 (ISSN-L)
  • 2168-1023
OpenAlex
W2046329378
Cited by
426
References
2
FWCI
72.06
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Value mapping for sustainable business thinking. https://app.cochat.ai/papers/10.1080/21681015.2014.1000399
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Bocken, N. M. P., Rana, P., & Short, S. W. (2015). Value mapping for sustainable business thinking. Journal of Industrial and Production Engineering. https://doi.org/10.1080/21681015.2014.1000399

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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.