Evidence map›Paper›PMID 40531847›Full record

ArticlePloS one2025

Relationship network, knowledge transfer and open innovation behavior of SMEs from China.

Menglin Ni, Muwen Wang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Menglin NiSchool of Business Administration, Shandong Women's University, Jinan, China.
Muwen WangSchool of Business Administration, Shandong Women's University, Jinan, China.ORCID 0000-0002-5436-1763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of globalization and digital transformation, small and medium-sized enterprises (SMEs) face increasing resource constraints that limit traditional innovation models. This study investigates how Chinese SMEs' relational networks influence their open innovation behaviors, examining the mediating role of knowledge transfer and the moderating effect of innovation strategic orientation. Through questionnaire data collected from 329 SMEs' middle and senior managers, we find that: (1) Firm relational networks significantly enhance knowledge transfer; (2) Innovation strategic orientation positively moderates the relationship between networks and knowledge transfer; and (3) Both networks and knowledge transfer exhibit strong positive impacts on SMEs' open innovation behaviors, with knowledge transfer acting as a partial mediator. The research reveals the mechanism through which relational networks drive open innovation via knowledge mobilization while highlighting the critical regulatory role of strategic innovation focus. These findings contribute to understanding open innovation dynamics in emerging markets by demonstrating the sequential pathway: network development → knowledge acquisition → innovation outcomes. For practitioners, the study underscores the strategic value of cultivating robust relational networks aligned with innovation objectives, enhancing internal knowledge circulation capabilities, and maintaining adaptive strategic orientations to capitalize on external opportunities. The research provides theoretical and practical guidance for SMEs seeking sustainable competitive advantages through open innovation strategies in knowledge-based economies.

Indexed as

Diffusion of InnovationOrganizational InnovationChinaHumansInventionsKnowledgeSurveys and Questionnaires

Identifiers

PMID40531847
PMCPMC12176221

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.