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Cited by 163

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Microfoundations of companies' dynamic capabilities for environmentally sustainable innovation: Case study insights from high‐tech innovation in science‐based companies

Open access
Mousavi, Seyedesmaeil, Bossink, Bart, van Vliet, Mario·2019·Business Strategy and the Environment
DOI 10.1002/bse.2255
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Abstract

To achieve sustainable development, companies are increasingly putting an emphasis on the creation and the promotion of environmentally sustainable innovations. Environmentally sustainable innovation often involves a significant shift in a new strategic direction. This paper studies this shift from a dynamic capabilities perspective and aims to identify the microfoundations of science‐based companies' dynamic capabilities for high‐tech environmentally sustainable innovations. It investigates the development of high‐tech environmentally sustainable innovations in two distinctive science‐based companies. To scholars, this study provides an in‐depth process analysis, over time, of how and why microfoundations of dynamic capabilities influence the development of a science‐based company's high‐tech environmentally sustainable innovations. To practitioners in science‐based firms, this process study can function as a frame of reference, enabling the tailoring of a strategy for high‐tech environmentally sustainable innovation.

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Metadata

Authors
Mousavi, S., Bossink, B., & van Vliet, M.
Venue
Business Strategy and the Environment
Publisher
Wiley
Published
2018-11-28
Volume
28
Issue
2
Pages
366-387
ISSN
  • 0964-4733 (ISSN-L)
  • 1099-0836
DOI
10.1002/bse.2255
OpenAlex
W2902752450
Cited by
163
References
9
FWCI
14.67
Type
journal article
Language
en
Open access
bronze

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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.