Evidence map›Paper›PMID 38196780›Full record

ArticleOpen research Europe2023

A triple helix model for the diffusion of Industry 4.0 technologies in firms in the Marche Region.

Niccolò Testi

Open access · goldAbstract read
In one paragraph

Article in Open research Europe, 2023. 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
0.6field-weighted citation impact, top 15% of its field
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, 1 citations in OpenAlex.

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

1 author at 1 institution in 1 country.

Niccolò TestiDepartment of Law, University of Macerata, Macerata, Marche, 62100, Italy.ORCID https://orcid.org/0000-0002-5128-2285
University of Macerata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Firms in the Marche Region, Italy, seem to struggle with understanding the importance of Industry 4.0 technologies, including blockchain technology, and delay the adoption of these innovative technologies. Methods: This paper is based on findings of three levels of qualitative analysis: the first one is a literature review; the second uses secondary sources about the diffusion of Industry 4.0 in the Marche Region and the local institutions and policies favouring it, retrieved from institutional websites and web searches; the third uses primary data which has been collected through an explorative survey conducted by sending a questionnaire to local innovative firms between 25th and the 27th of October 2022. Results: The literature review shows that collaboration between triple helix actors can foster innovation in firms. Secondary data about firms in the Marche Region describes an economy made prevalently of micro enterprises not capable of adopting Industry 4.0 technologies, and individuates some institutions located in the region having the role of innovation intermediaries that help firms innovate. Among the secondary sources, the new Smart Specialisation Strategy 2021-2027 of the Marche Region emphasises the role of Industry 4.0 for economic development which requires the involvement of the research and innovation actors present in the region. The survey conducted for this study shows that the firms that adopted Industry 4.0 technologies have strong ties and collaboration with triple helix institutions. Conclusions: Based on the findings, a triple helix model is proposed to foster the diffusion of Industry 4.0 technologies in the Marche Region, where innovation intermediaries are called to manage knowledge flows both among them and between academia, government, and industry, to activate a virtuous cycle of innovation adoption and valorisation.

Indexed as

blockchaincollaborationIndustry 4.0innovationintermediariesknowledgeregiontriple helix

Identifiers

PMID38196780
PMCPMC10774631
OpenAlexW4388939510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.