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The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

The Digital Transformation of Search and Recombination in the Innovation Function: Tensions and an Integrative Framework*

Open access
Lanzolla, Gianvito, Pesce, Danilo, Tucci, Christopher L.·2021·Journal of Product Innovation Management

Abstract

Search and recombination are important mechanisms in the creativity phase of innovation. Digital transformation and the resulting pervasive digitalization of the innovation function have often been associated with increasing possibilities for search and recombination. In this paper, by systematically integrating the search and recombination literature with the literature on digitalization, we demonstrate that digitalization may engender new idiosyncratic tensions in the organizational antecedents of search and recombination and, by implication, in their likely outcomes. We propose that, depending on the interactions among the idiosyncratic tensions identified herein, knowledge recombination might spur very different outcomes, including knowledge layering, knowledge integration, knowledge grafting, or even no recombination at all (which we label “search for the sake of search”). These outcomes may not always be the initially planned desired outcomes. Finally, we provide implications of our integrative framework pertaining to product development and to organizing for innovation.

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Registry

Crossref · 10.1111/jpim.12546

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Metadata

Authors
Lanzolla, G., Pesce, D., & Tucci, C. L.
Venue
Journal of Product Innovation Management
Publisher
Wiley
Published
2020-08-28
Volume
38
Issue
1
Pages
90-113
ISSN
  • 0737-6782 (ISSN-L)
  • 1540-5885
OpenAlex
W3045962627
Cited by
320
References
27
FWCI
33.33
Type
journal article
Language
en
Open access
hybrid

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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.