Drivers and barriers of eco‐innovation types for sustainable transitions: A quantitative perspective
Open accessAbstract
Firms are influenced by internal factors (resources and capabilities) and external factors (e.g., regulation) when taking the decision to eco‐innovate. However, the analysis of the internal factors has received much less attention than the external ones. This paper aims to fill this gap in the literature by analyzing the role of resources, competences, and dynamic capabilities (RCCs) as determinants (drivers and barriers) of different eco‐innovation (EI) types. Those EI types contribute differently to the sustainable transition of the economy and society, that is, towards the circular economy. The statistical analyses reveal that RCCs are quite relevant as determinants of EIs, and that different RCCs are more or less relevant for different EI types. In particular, the determinants of systemic and radical EIs substantially differ from those for continuous improvements. Our results suggest that physical RCCs, involvement in green supply chains, an EI‐friendly corporate culture, technology‐push and market‐pull, and internal financing resources represent drivers to these EIs, whereas cooperation, organizational learning, an ISO (International Organization for Standardization) ecological certification, and technological path dependency are barriers. The results may guide firms to pursue competitive and sustainable advantage by innovating through certain EI types corresponding to available and dedicated RCCs. They may also be useful to policy makers who are willing to promote specific EI types.
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The most important uncertainty for sustainable entrepreneurs is whether they can build successful businesses based on their innovations, despite the different barriers they may face.
“The most important uncertainty for sustainable entrepreneurs is whether they can build successful businesses based on their innovations (Schaltegger & Wagner, 2011), despite the different barriers they may face (Kiefer, Del Río González, & Carrillo-Hermosilla, 2019).”
From Sustainable entrepreneurship, innovation, and business models: Integrative framework and propositions for future research (2020) · cites this paper as Kiefer, Del Río González, & Carrillo-Hermosilla, 2019
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- Authors
- Kiefer, C. P., Del Río González, P., & Carrillo‐Hermosilla, J.
- Affiliations
- Consejo Superior de Investigaciones Científicas (ES)
- Institute for Public Policies and Goods (IPP) Consejo Superior de Investigaciones Científicas (CSIC) Madrid Spain
- Universidad de Alcalá (ES)
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2018-11-19
- Volume
- 28
- Issue
- 1
- Pages
- 155-172
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W2900597063
- Cited by
- 379
- References
- 137
- Citations by year
- 2026: 46 · 2025: 53 · 2024: 74 · 2023: 63 · 2022: 51 · 2021: 49 · 2020: 30 · 2019: 12 · 2018: 1
- FWCI
- 41.14
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Business Strategy and the Environment (publishedVersion)
- e_Buah (submittedVersion, cc-by-nc-nd)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Sustainability and Innovation in Business
- Keywords
- green innovation, sustainability transitions, circular economy, dynamic capabilities, drivers and barriers, green supply chain, organizational culture, organizational learning, cooperation, internal financing, continuous improvement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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