Evidence map›Paper›PMID 38637686›Full record

ArticleScientific reports2024

The impact of digital transformation on resource mismatch of Chinese listed companies.

Kedong Wu, Songzhu Liu, Mengchun Zhu, Yahui Qu

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

2 citing papers in PubMed.

  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

4 authors.

Kedong WuSchool of Economics and Management, Luoyang Institute of Science and Technology, Luoyang, 471000, China.
Songzhu LiuEconomic and Trade College, Guangxi University of Finance and Economics, Nanning, 530003, China. 53223902@qq.com.
Mengchun ZhuSchool of Foreign Languages, Luoyang Institute of Science and Technology, Luoyang, 471000, China. 2351385313@qq.com.
Yahui QuSchool of Economics and Management, Luoyang Institute of Science and Technology, Luoyang, 471000, China.

Funding

2021 Guangxi Higher Education Undergraduate Teaching Reform Project General Project Class A 2021JGA3062023 scientific research project of the Land and Sea Economic Integration Collaborative Innovation Center 2023XTZX29Henan Province Soft Science Research Program Project 242400410060The Guangxi First-class Discipline Applied Economics Construction Project Fund 2022GSXKB02
6 · The paper itself

Abstract

Based on a microeconomic entity perspective, this paper empirically examines the effect of enterprise digitalization on resource mismatch. We found that, firstly, an increasing in enterprise digitalization reduces resource mismatch. Moreover, the results remain robust after considering endogeneity and changing the variable measurements. Secondly, enterprise digitalization can significantly reduce resource mismatch of private and large-scale enterprises and significantly contribute to reducing enterprise resource mismatch in low marketability regions and eastern regions. Thirdly, enterprise digital transformation can reduce resource mismatch by decreasing operating costs and financing constraints; Executive incentives can help reduce resource mismatch in the digital process of enterprises. Fourthly, the increase in enterprise digitalization contributes to an enhance in corporate social responsibility, and enterprise resource mismatch plays a mediating role in the relationship of enterprise digitalization development improving corporate social responsibility. Finally, in response to the findings of the study, the paper suggests countermeasures for regional and corporate countermeasures regarding digital development.

Indexed as

DigitizationFinancing constraintsOperating costsResource mismatch

Identifiers

PMID38637686
PMCPMC11026433

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.