Evidence map›Paper›PMID 40061925›Full record

ArticleHeliyon2025

Who is in the driving seat? Assessing innovation performance feedback and digital transformation of manufacturing enterprises.

Dongwei Li, Jaffar Abbas, Haojun Wang, Khalid Al-Sulaiti, Bei Lyu

Abstract read
In one paragraph

Article in Heliyon, 2025. 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

5 authors.

Dongwei LiSchool of Business Administration, South China University of Technology, Guangzhou, China.
Jaffar AbbasSchool of Media and Communication, Shanghai Jiao Tong University, Shanghai, China.
Haojun WangSchool of Business Administration, South China University of Technology, Guangzhou, China.
Khalid Al-SulaitiAl Rayyan International University College in Partnership with University of Derby UK, Doha, Qatar.
Bei LyuSchool of Economics and Management, Huaibei Normal University, Huaibei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of digital technologies has enabled enterprises to enhance their innovation capabilities and reconstruct their competitive advantage throughout the wave of digital transformation. Previous research has examined the driving forces behind digital transformation through the lens of institutional theory, resource-based views, dynamic capacities, and upper echelons theory. However, these studies have ignored the fact that the decision makers with bounded rationality formulate digital transformation strategies based on "heuristic decisions". In order to address the above research gap, this study examines the impact of innovation expectation gap on digital transformation of enterprises based on the behavioral theory of the firm. In this paper, Chinese A-share manufacturing enterprises listed from 2010 to 2021 are used as the research sample. The results show that as the innovation expectation gap widens, enterprises will be more motivated to implement digital transformation to improve their innovation performance. Accordingly, the innovation expectation gap has a positive impact on the digital transformation of enterprises. After CEO power and CEO traits are embedded in the research framework, it is found that CEO power can strengthen the positive impact of innovation expectation gap on enterprise digital transformation. In addition, if the CEO has both functional diversity and digital literacy, CEO power's strengthening effect on the relationship between innovation expectation gap and enterprise digital transformation can also be enhanced. The study provides new insights for the study of enterprises digital transformation decision-making from the perspective of innovation expectation gap, which helps to expand the research topics of the behavioral theory of the firm.

Indexed as

CEO powerCEO traitsEnterprise digital transformationInnovation expectation gap

Identifiers

PMID40061925
PMCPMC11889577

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.