Evidence map›Paper›PMID 41379852›Full record

ArticlePloS one2025

Can SMEs synergistic transformation of digitization and greenization promote enterprise risk-taking?

Juan Wang, Jianxin Cui

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.

Juan WangSchool of Accounting, Shandong Women's University, Jinan, Shandong Province, China.ORCID https://orcid.org/0009-0008-8037-8463
Jianxin CuiManagement Engineering Department, Qingdao University of Technology, Qingdao City, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The synergistic transformation of digitization and greenization has become an important direction in China's economic development. Small and Medium Enterprises (SMEs) have the characteristics of small scale and high growth and have become the key force of synergistic transformation of digitization and greenization. Synergistic transformation of digitization and greenization helps to promote the coordination and unification of SMEs' operating efficiency and environmental protection, resulting in the effect of 1 + 1 > 2, which has become an important factor in promoting enterprise risk-taking. Using the sample of enterprises listed on the SME board from 2012 to 2022, this paper adopts the Haken model to measure SMEs' synergistic transformation of digitization and greenization and analyzes its impact on enterprise risk-taking, drawing the following conclusions: (1) SMEs' synergistic transformation of digitization and greenization significantly promotes enterprise risk-taking. (2) The impact mechanism analysis finds that SMEs' synergistic transformation of digitization and greenization improves enterprise risk-taking by reducing cash holdings and Research and Development (R&D) investment. (3) Further research finds that compared with state-owned SMEs, the synergistic transformation of digitization and greenization of non-state-owned SMEs has a more significant impact on enterprise risk-taking. Compared with high-tech SMEs, the synergistic transformation of digitization and greenization of non-high-tech SMEs has a more significant impact on enterprise risk-taking. These conclusions have practical significance for promoting SMEs' synergistic transformation of digitization and greenization and improving enterprise risk-taking.

Indexed as

Conservation of Natural ResourcesEconomic DevelopmentRisk-TakingChinaHumansInvestments

Identifiers

PMID41379852
PMCPMC12698014

What OpenQuestion holds

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Registered trials

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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.