ArticleHeliyon2023
Stakeholder network for developing open innovation practice of China's manufacturing enterprises.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Who is in the driving seat? Assessing innovation performance feedback and digital transformation of manufacturing enterprises.Heliyon · 2025Article
- Firms' shareholding behavior in green supply chains: Carbon emissions reduction, power structures, and technology spillovers.Heliyon · 2024Article
- Article
- How does the online innovation community climate affect the user's value co-creation behavior: The mediating role of motivation.PloS one · 2024Article
- Can venture capital shareholding improve M&A performance? An empirical study based on Chinese GEM-listed companies.PloS one · 2024Article
- Does university-industry collaboration improve firm productivity? Evidence from China.PloS one · 2024Article
- A study on factors influencing Chinese farmers' willingness to input in Jujube planting.Heliyon · 2023Article
- Sexual harassment in the workplace: Rituals as Prevention and Management Strategies in COVID-19 Crisis.Heliyon · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study aims to investigate the impact of stakeholder network characteristics on a company's open innovation performance. To investigate the innovation performance of a company. This study not only demonstrates the impact of stakeholder network characteristics on a firm's open innovation performance but also provides empirical evidence for accelerating the construction of an innovation ecology at the national and industry levels and using innovation networks to promote firm innovation performance. Panel data from 1507 listed manufacturing firms in China from 2008 to 2018 are used. A particular focus is on the role of absorptive capacity in the relationship. The results show that centrality, stability, and stakeholder network size are positively correlated or have an inverted U-shaped relationship with the firm's open innovation performance. The results show that the centrality, stability and stakeholder network size are positively correlated or have an inverse U-shaped relationship with the firm's open innovation performance, while the effects of stakeholder network density on the firm's open innovation performance are not significant. Furthermore, absorptive capacity is found to play a moderating role in the inverted U-shaped relationship between the former two factors, and the inverted U-shaped relationship between stakeholder network characteristics and a firm's open innovation performance is also significant under the conditions of different technology levels and different types of firms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.