Evidence map›Paper›PMID 39498084›Full record

ArticleHeliyon2024

Strategies to enhance the corporate innovation resilience in digital era: A cross-organizational collaboration perspective.

Houxue Xia, Mingwei Liu, Pengcheng Wang, Xiukun Tan

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

4 authors.

Houxue XiaSchool of Economics and Management, Nanjing Tech University, Nanjing, China.
Mingwei LiuSchool of Economics and Management, Nanjing Tech University, Nanjing, China.
Pengcheng WangSchool of Economics and Management, Nanjing Tech University, Nanjing, China.
Xiukun TanSchool of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current economic environment is characterized by increasing uncertainty, while digitalization has led to profound transformations in both the economy and society. There is a pressing need to conduct an in-depth investigation into the specific effects of cross-organizational cooperation on firms' innovation resilience (FIR) in the digital era, as well as the underlying mechanisms driving these effects. This study utilizes panel data encompassing 30 Chinese provinces and municipalities, intending to analyze the impact of market-based and science-based cross-organizational cooperation on FIR and explore the heterogeneity of this impact. Moreover, the study examines the mediating and moderating mechanisms that influence the relationship between cross-organizational cooperation and FIR. The findings indicate that both market-based cooperation, including cooperation with suppliers (CS) and cooperation with customers (CC), and science-based industry-university-research cooperation (IURC) significantly enhance FIR, with science-based IURC demonstrating the most pronounced effect. Additionally, it is revealed that the impact of market-based and science-based cross-organizational cooperation exhibits spatial heterogeneity in promoting FIR. Market-based and science-based cross-organizational cooperation effectively improves enterprise liquidity, enhances operational efficiency, and consequently enhances innovation resilience (IR). Moreover, the positive impact of cross-organizational cooperation on FIR is amplified by increasing the degree of digital transformation and digital technological innovation.

Indexed as

Cross-organizational collaborationCurrent assetsDigital transformationInnovation resilienceMarket-based cooperationScience-based cooperation

Identifiers

PMID39498084
PMCPMC11532824

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.