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Cited by 1,907

The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.

Fifteen Years of Research on Business Model Innovation: How Far Have We Come, and Where Should We Go?

Open access
Foss, Nicolai J., Saebi, Tina·2017·Journal of Management

Abstract

Over the last 15 years, business model innovation (BMI) has gained an increasing amount of attention in management research and among practitioners. The emerging BMI literature addresses an important phenomenon but lacks theoretical underpinning, and empirical inquiry is not cumulative. Thus, a concerted research effort seems warranted. Accordingly, we take stock of the extant literature on BMI. We identify and analyze 150 peer-reviewed scholarly articles on BMI published between 2000 and 2015. We provide the first comprehensive systematic review of the BMI literature, include a critical assessment of these research efforts, and offer suggestions for future research. We argue that the literature faces problems with respect to construct clarity and has gaps with respect to the identification of antecedent conditions, contingencies, and outcomes. We identify important avenues for future research and show how the complexity theory, innovation, and other streams of literature can help overcome many of the gaps in the BMI literature.

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Metadata

Authors
Foss, N. J., & Saebi, T.
Venue
Journal of Management
Published
2016-11-24
Volume
43
Issue
1
Pages
200-227
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
OpenAlex
W2553227351
Cited by
1,907
References
127
FWCI
276.20
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Fifteen Years of Research on Business Model Innovation: How Far Have We Come, and Where Should We Go? https://app.cochat.ai/papers/10.1177/0149206316675927
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Foss, N. J., & Saebi, T. (2017). Fifteen Years of Research on Business Model Innovation: How Far Have We Come, and Where Should We Go? Journal of Management. https://doi.org/10.1177/0149206316675927

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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.