Evidence map›Paper›PMID 36571030›Full record

ArticleFrontiers in psychology2022

The impact of digital transformation on corporate total factor productivity.

Na Li, Xiaohong Wang, Zeren Wang, Xiangyu Luan

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Na LiSchool of Management, Harbin Institute of Technology, Harbin, China.
Xiaohong WangSchool of Management, Harbin Institute of Technology, Harbin, China.
Zeren WangSchool of Business, China University of Political Science and Law, Beijing, China.
Xiangyu LuanSchool of Management, Harbin Institute of Technology, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Corporates need to break through the dilemma of system and efficiency with the help of digital transformation in the digital economy era. This paper aims to examine the influence of digital transformation on corporate total factor productivity by investigating whether and how corporate technical cooperation and ESG performance mediate and moderate the relationship between them. Methods: This study choose Chinese A-share listed manufacturing firms from 2016-2020 as the research sample and use the FGLS regression model to test the proposed hypotheses. Results: Results show that digital transformation has a positive effect on corporate total factor productivity, and this positive impact is more pronounced when corporates have higher ESG performance. Corporate technical cooperation plays a mediating role between digital transformation and total factor productivity. ESG performance also plays a positive moderating role in the relationship between digital transformation and corporate technical cooperation. Discussion: Our results contribute to the literature on digital transformation and corporate total factor productivity at the micro-corporate level. Further, our findings offer insights to decision-makers and regulatory bodies regarding the current practices of digital transformation and its potential economic impact.

Indexed as

corporate productivitydigital transformationESG performancetechnical cooperationtotal factor productivity

Identifiers

PMID36571030
PMCPMC9768491

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.