Evidence map›Paper›PMID 39424925›Full record

ArticleScientific reports2024

Digital transformation, innovation capabilities, and servitization as drivers of ESG performance in manufacturing SMEs.

Donghua Chen, Shaofeng Wang

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

2 authors.

Donghua ChenSchool of Logistics and e-Commerce, Zhejiang Wanli University, Ningbo, 315000, China.
Shaofeng WangInternational Business School, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China. vipwhsl@hotmail.com.

Funding

National Statistical Science Research Project of China 2024LY060Youth Fund Project of Humanities and Social Sciences Research of the Ministry of Education of China 24YJC630213Zhejiang Soft Science Project 2022C35047
6 · The paper itself

Abstract

This study investigates the relationship between digital transformation and Environmental, Social, and Governance (ESG) performance in the context of SMEs. Drawing upon Resource Orchestration Theory, this research proposes a theoretical model that examines the direct effect of digital transformation on ESG performance and the mediating roles of innovation capabilities and servitization level in this relationship. PLS-SEM and fsQCA were employed to analyze survey data from 215 SME executives. The results reveal that digital transformation positively influences ESG performance. Moreover, innovation capabilities and servitization level partially mediate the relationship between digital transformation and ESG performance. This research contributes to the literature by proposing and validating a comprehensive model that integrates these constructs, offering actionable insights for SME managers and policymakers to enhance ESG outcomes through strategic digital initiatives. Notably, fsQCA results highlight three distinct configurations of digital transformation components leading to high ESG performance, providing nuanced pathways for SMEs to achieve sustainable development.

Indexed as

Digital transformationEnvironmental, Social and Governance performanceInnovation capabilitiesServitization levelSMEsSustainable development

Identifiers

PMID39424925
PMCPMC11489648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.