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Cited by 199

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Lean Startup and the business model: Experimenting for novelty and impact

Open access
Bocken, Nancy, Snihur, Yuliya·2020·Long Range Planning

Abstract

Lean Startup has been impacting how startups and incumbents innovate their business models. However, academic understanding of Lean Startup and the associated experimentation process is only emerging. Recent academic critique of Lean Startup by Felin and colleagues (in press) highlights the inadequate guidance provided for hypotheses generation; limits of experiential learning from customer feedback; and the incremental nature of experimentation outcomes. Yet, Lean Startup has not been conceived for ideation, but rather for fostering iterative experimentation to reduce uncertainty, engage stakeholders, and promote collective learning. Taking a process perspective on experimentation, we suggest that novel business models can emerge during experimentation. We contribute a more positive perspective on the opportunities of Lean Startup and highlight how it can enable continuous innovation and stakeholder engagement for novelty and impact.

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Metadata

Authors
Bocken, N., & Snihur, Y.
Venue
Long Range Planning
Publisher
Elsevier BV
Published
2020-08
Volume
53
Issue
4
Pages
101953
ISSN
0024-6301 (ISSN-L)
OpenAlex
W2998581535
Cited by
199
References
6
FWCI
28.98
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Lean Startup and the business model: Experimenting for novelty and impact. https://app.cochat.ai/papers/10.1016/j.lrp.2019.101953
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Bocken, N., & Snihur, Y. (2020). Lean Startup and the business model: Experimenting for novelty and impact. Long Range Planning. https://doi.org/10.1016/j.lrp.2019.101953

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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.