Evidence map›Paper›PMID 39281432›Full record

ArticleHeliyon2024

Digitizing success: Leveraging digital human resource practices for transformative productivity in Chinese SMEs.

Ying Zhang, Shuja Iqbal, Hongyun Tian, Shamim Akhtar

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

4 authors.

Ying ZhangSchool of Management, Jiangsu University, Zhenjiang, China.
Shuja IqbalSchool of Management, Jiangsu University, Zhenjiang, China.
Hongyun TianSchool of Management, Jiangsu University, Zhenjiang, China.
Shamim AkhtarSchool of Management, Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: & Purpose: In the rapidly evolving digital landscape, digital human resource (HR) practices in small and medium-sized enterprises (SMEs) have become a vital success factor. This study adopts the resource-based view of the firm to explore the complicated relationships among digital HR practices, digital transformation, innovative work behavior, disruptive innovation, and work productivity in the context of Chinese SMEs. Methods: This study provides fundamental insights by drawing data from Jiangsu province, China. Data from 339 managerial staff members were collected and analyzed using SmartPLS (4.0) with a partial least squares structural equation model (PLS-SEM). Several measures, model fit, and hypothesis tests were conducted. Findings: Digital HR practices significantly affect digital transformation, innovative work behavior, and productivity. Furthermore, digital transformation is a powerful driver that positively influences innovative work behavior and productivity in SMEs. Interestingly, innovative work behavior positively influenced work productivity, exemplifying the vital role of inspired thinking and problem-solving abilities. This study also investigates the moderating role of disruptive innovation, highlighting its influence on the association between digital HR practices and digital transformation. However, disruptive innovation does not significantly moderate the association between digital transformation and innovative work behavior, suggesting fascinating nuances for SMEs. Conclusion/value: This research extends our understanding of the interaction between digitalization, HR, and innovation, and proposes practical implications for SMEs aiming to harness the transformative potential of digitization. Several theoretical and practical implications are developed for future studies on related SMEs.

Indexed as

Digital HRM practicesDigital transformationDisruptive innovationInnovative work behaviorWork productivity

Identifiers

PMID39281432
PMCPMC11401196

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.