Evidence map›Paper›PMID 40089554›Full record

ArticleScientific reports2025

Revolutionizing healthcare leadership the critical role of digital citizenship in knowledge sharing.

Naveed Saif, Sadaqat Ali, Imrab Shaheen, Gerald Guan Gan Goh, Sajid Ullah Khan

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

5 authors.

Naveed SaifInstitute of Management Science, University of Science and Technology Bannu, Bannu, Pakistan.
Sadaqat AliNational University of Modern Languages, Rawalpindi, Pakistan.
Imrab ShaheenUniversity of Kotli, Azad Jammu and Kashmir, Kotli, Pakistan.
Gerald Guan Gan GohFaculty of Business, Multimedia University, Melaka, Malaysia. gggoh@mmu.edu.my.
Sajid Ullah KhanInformation Systems Department, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the relationship between digital leadership (DLR), visionary leadership (VSL), and knowledge sharing (KNS) among healthcare professionals in Pakistan, focusing on the mediating role of digital citizenship behavior (DCZ). As leadership becomes increasingly crucial for promoting knowledge sharing in healthcare, understanding how DLR and VSL facilitate this behavior particularly through digital citizenship is essential. A quantitative approach was employed, gathering data from 202 healthcare professionals via a structured questionnaire assessing DLR, VSL, DCZ, and KNS. Structural equation modeling (SEM) was used to analyze the relationships and test the mediating effect of DCZ. Findings reveal significant positive relationships between both DLR and VSL with KNS. Notably, DCZ partially mediates the relationship between DLR and KNS, with a stronger mediation effect observed in this context. In the VSL-KNS relationship, DCZ's mediation was confirmed and indicating partial mediation. These results underscore the importance of fostering digital citizenship behaviors to enhance knowledge sharing, providing valuable insights for leadership development programs aimed at improving organizational performance in healthcare settings.

Indexed as

Delivery of Health CareHealth PersonnelInformation DisseminationLeadershipAdultFemaleHumansMaleMiddle AgedPakistanSurveys and QuestionnairesDigital citizenship behaviorDigital leadershipHealthcare workersKnowledge sharingVisionary leadership

Identifiers

PMID40089554
PMCPMC11910507

What Socratic holds

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LicenceCC BY
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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 Socratic graph.