Evidence map›Paper›PMID 39028736›Full record

ArticlePloS one2024

Digital transformation and enterprise resilience: Enabling or burdening?

Cheng Li, Yewen Wang

Abstract read
In one paragraph

Article in PloS one, 2024. 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.

Cheng LiSchool of Economics and Management, Tiangong University, Tianjin, China.
Yewen WangSchool of Economics and Management, Tiangong University, Tianjin, China.ORCID https://orcid.org/0009-0007-2244-3186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on data from A-share listed companies from 2007 to 2021, this study constructs an enterprise resilience index using the entropy-weighted TOPSIS method. On this basis, the impact of digital transformation on enterprise resilience is examined through empowerment theory. The empirical results indicate that digital transformation significantly enhances enterprise resilience, a conclusion that remains valid after a series of robustness tests. Mechanism analysis reveals that digital transformation enhances enterprise resilience by reducing agency costs, increasing information transparency, and alleviating financing constraints. Heterogeneity analysis shows that micro-characteristics of enterprises, such as the stage of the life cycle and factor intensity, as well as macro-environmental factors like regional intellectual property rights protection and industry competition level, have differential impacts on the resilience-enhancing effects of digital transformation. Further analysis suggests that the level of corporate governance influences the positive impact of digital transformation on enterprise resilience.

Identifiers

PMID39028736
PMCPMC11259276

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.