Evidence map›Paper›PMID 39055822›Full record

ArticleHeliyon2024

With whom should I work? Partners' network characteristics and innovation persistence.

Jinxing Ji

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jinxing JiSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In studying the implications of collaboration networks on innovation persistence, previous research has primarily focused on the network characteristics of focal inventors, often overlooking those of their partners. The purpose of this study is to demonstrate what and how partners' network characteristics-specifically, network centrality and structural holes-affect the focal inventor's innovation persistence, by positing and testing the diversity and novelty of knowledge recombination as important mediators. We collected a panel patent dataset in the lithography industry between 2000 and 2023 and conducted data analysis using ordinary least squares (OLS) regression model, robustness test, and endogeneity test. Results indicate that partners' network centrality has an inverted U-shaped impact on innovation persistence, whereas partners' structural holes positively influence innovation persistence. The findings further show how the diversity and novelty of knowledge recombination mediate the relationships between partners' network characteristics and innovation persistence. This paper provides valuable insights for inventors, researchers, and policymakers, emphasizing the crucial role of partnerships and knowledge recombination in promoting innovation persistence.

Indexed as

Diversity of knowledge recombinationInnovation persistentNovelty of knowledge recombinationPartners' network centralityPartners' structural holes

Identifiers

PMID39055822
PMCPMC11269875

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.