Evidence map›Paper›PMID 38507435›Full record

ArticlePloS one2024

Corporate digital transformation, internal control and total factor productivity.

Xiao Li, Feiyang Zhao, Zhiquan Zhao

Open access · goldAbstract 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
17.5field-weighted citation impact, top 1% of its field
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

2 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 2 countries.

Xiao LiSystems and Industrial Engineering Technology Research Center, Zhongyuan University of Technology, Zhengzhou, Henan, China.ORCID 0000-0002-6547-3541
Feiyang ZhaoUCD Michael Smurfit Graduate Business School, University College Dublin, Dublin, Ireland.ORCID 0009-0007-5340-4489
Zhiquan ZhaoSchool of Economics and Management, Zhongyuan University of Technology, Zhengzhou, Henan, China.
Zhongyuan University of Technology · CNUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on Resource-based theory and Internal Control (IC) theory, this study elucidates the impacts of corporate digital transformation on total factor productivity, and IC effectiveness, as well as the mechanism among digital transformation, IC and total factor productivity. The results show that digital transformation promotes total factor productivity and IC effectiveness. And effective IC has a significant mediating effect for the impact of digital transformation on total factor productivity. Heterogeneity discussion shows that compared with high-tech enterprises, in non-high-tech ones, digital transformation increases total factor productivity, and more significantly enhances IC effectiveness, presenting a mechanism that digital transformation facilitates IC, and increases total factor productivity. For non-high-tech enterprises, with higher heterogeneity of executive education backgrounds, digital transformation promotes IC effectiveness and total factor productivity, showing the transmission effect among digital transformation, IC and total factor productivity. Finally, it is suggested that the regulatory authorities advance digital infrastructure construction, to reinforce IC and risk prevention, thereby increase total factor productivity. And enterprises grasp the opportunity of digital economy development, promote the mechanism that digital transformation facilitates IC effectiveness, and increases total factor productivity. Non-high-tech ones motivate digital elements' governance efficacy, optimize executive structure, coordinately promote digital strategy, and help the national economy acquire high-quality development. The study provides enlightenments to achieve high-quality development.

Indexed as

Economic DevelopmentOrganizationsChina

Identifiers

PMID38507435
PMCPMC10954155
OpenAlexW4392983322

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.