Evidence map›Paper›PMID 41462423›Full record

ArticleScientific reports2025

Public sector innovation in transition economies through hybrid entrepreneurship and the techno industry nexus.

Mozhdeh Maleki, Mahsa Fatemi, Kurosh Rezaei-Moghaddam

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. 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

3 authors.

Mozhdeh MalekiDepartment of Agricultural Extension and Education, School of Agriculture, Shiraz University, Shiraz, Iran.
Mahsa FatemiDepartment of Agricultural Extension and Education, School of Agriculture, Shiraz University, Shiraz, Iran. mahsafatemi@shirazu.ac.ir.ORCID http://orcid.org/0000-0002-9568-9247
Kurosh Rezaei-MoghaddamDepartment of Agricultural Extension and Education, School of Agriculture, Shiraz University, Shiraz, Iran.ORCID http://orcid.org/0000-0003-2661-453X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transitional economies face growing pressure to foster public sector innovation amid economic challenges. Hybrid entrepreneurship offers a pathway to enhance adaptability, efficiency, and service delivery. This study applies a multi-theoretical framework, integrating cognitive theory, the theory of planned behavior, social network theory, and the technology acceptance model (TAM), to examine factors influencing hybrid entrepreneurship adoption in Iran's public organizations. In addition, Self-Determination Theory (SDT) is employed to understand how organizational support mechanisms, such as job promotion opportunities and a positive work culture, enhance employees' intrinsic motivation and entrepreneurial intention. Based on a descriptive survey of 234 public sector experts in Fars province, structural equation modeling using SPSS26 and SmartPLS3 revealed that entrepreneurial motivation, perceived usefulness, and supportive organizational environments significantly drive adoption. The techno-industry nexus-linking scientific expertise with industrial application-emerged as a key innovation enabler. Findings also highlight the role of professional networks in facilitating knowledge access and collaboration. Policy suggestions include reducing regulatory barriers, enhancing technological infrastructure, and incentivizing innovation through academia-industry partnerships, contributing both theoretical and practical insights into public sector transformation in transitional economies.

Indexed as

Hybrid entrepreneurshipIranPublic sector innovationTechno-industry nexusTechnology adoptionTransitional economy

Identifiers

PMID41462423
PMCPMC12749703

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.