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Cited by 312

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Knowledge sharing and innovation: A systematic review

Open access
Castaneda, Delio Ignacio, Cuellar, Sergio·2020·Knowledge and Process Management

Abstract

The purpose of this article is to investigate the ways in which innovation and knowledge sharing have been studied together in the academic literature. The method employed in this study was a systematic review that covered publications on knowledge sharing and innovation from 1973, when the first article relating the two topics was published, to 2017. The survey was based on 7,991 articles from the Scopus and ISI Web of Science databases using VantagePoint 11.0 software. Four periods were identified in the relationship between innovation and knowledge sharing: embryonic, emergent, growth young, and growth highest. The relationship between knowledge sharing and innovation continues to grow based on the number of papers published on the topic by year. This is the first systematic review of the relationship between knowledge sharing and innovation.

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Metadata

Authors
Castaneda, D. I., & Cuellar, S.
Venue
Knowledge and Process Management
Publisher
Wiley
Published
2020-05-07
Volume
27
Issue
3
Pages
159-173
ISSN
  • 1092-4604 (ISSN-L)
  • 1099-1441
OpenAlex
W3022867773
Cited by
312
References
75
FWCI
12.61
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Knowledge sharing and innovation: A systematic review. https://app.cochat.ai/papers/10.1002/kpm.1637
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Castaneda, D. I., & Cuellar, S. (2020). Knowledge sharing and innovation: A systematic review. Knowledge and Process Management. https://doi.org/10.1002/kpm.1637

Data sources

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.