Evidence map›Paper›PMID 35742306›Full record

ArticleInternational journal of environmental research and public health2022

Organizational and Supply Chain Impacts of 3D Printers Implementation in the Medical Sector.

Fabio Musso, Federica Murmura, Laura Bravi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Fabio MussoDepartment of Economics, Society, Politics, Carlo Bo University of Urbino, Via Saffi 42, 61029 Urbino, Italy.ORCID 0000-0002-5189-2956
Federica MurmuraDepartment of Economics, Society, Politics, Carlo Bo University of Urbino, Via Saffi 42, 61029 Urbino, Italy.ORCID 0000-0001-8443-8680
Laura BraviDepartment of Economics, Society, Politics, Carlo Bo University of Urbino, Via Saffi 42, 61029 Urbino, Italy.ORCID 0000-0002-1733-7043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D printing application extends to various sectors, such as aerospace, construction, art, domestic, up to healthcare. It is in this domain that its adoption could offer technological solutions aimed at improving the individual life and guaranteeing organizational effectiveness. The aim of this study is to understand the way in which the adoption of medical 3D printers has introduced economic-business changes at the supply chain, organizational and environmental level within business processes considering the point of view of 3D printer manufacturers. A multiple case study has been developed, through the administration of a semi-structured interview to 7 Italian companies that design, manufacture and sell 3D printers offering additive technological solutions to the medical sector. The results show how companies believe that the organizational impact related to the adoption of this technology is quite significant, highlighting how it leads to the definition of a new organizational culture. Secondly, it emerges that the adoption of 3D printers within the medical sector also leads to a change in procedures and production activities. Finally, it also emerges that the impact at the supply chain level particularly affects the reduction in the number of players in the supply chain and product time to market.

Indexed as

OrganizationsPrinting, Three-DimensionalCommerceOrganizational Cultureadditive manufacturinghealthcare managementIndustry 4.0medical 3D printing

Identifiers

PMID35742306
PMCPMC9222601

What OpenQuestion holds

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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.