Evidence map›Paper›PMID 36217321›Full record

ArticleAnnals of operations research2022

Adoption of Industry 4.0 technologies by organizations: a maturity levels perspective.

Maciel M Queiroz, Samuel Fosso Wamba, Charbel Jose Chiappetta Jabbour, Ana Beatriz Lopes de Sousa Jabbour, Marcio Cardoso Machado

Abstract read
In one paragraph

Article in Annals of operations research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Maciel M QueirozFGV EAESP, São Paulo, Brazil.ORCID 0000-0002-6025-9191
Samuel Fosso WambaTBS Business School, Toulouse, France.ORCID https://orcid.org/0000-0002-1073-058X
Charbel Jose Chiappetta JabbourNEOMA Business School, 1 Rue du Maréchal Juin, 76130 Mont-Saint-Aignan, France.ORCID https://orcid.org/0000-0002-6143-4924
Ana Beatriz Lopes de Sousa JabbourEM Normandie Business School, Metis Lab, 64 Rue Du Ranelagh, 75016 Paris, France.ORCID https://orcid.org/0000-0001-6423-8868
Marcio Cardoso MachadoPaulista University-UNIP, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-5449-1373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study employs a structured literature analysis considering Industry 4.0 technologies and their adoption stages (intention, adoption, implementation, routinization, continuance, and diffusion). We identify the technology adoption stage for each technology type, which in turn supports a maturity level categorization, as well as future research suggestions and challenging open research questions. By considering an integrated view of all the adoption stages of Industry 4.0 key technologies, we reveal the key technologies and their development stages, as well as a novel maturity level categorization perspective. The proposed categorization brings valuable research insights in the form of guidelines for practitioners and decision-makers interested in gaining a deeper understanding of the maturity level of key Industry 4.0 technologies.

Indexed as

DigitalizationDigital technologiesIndustry 4.0Production systemsSupply networks

Identifiers

PMID36217321
PMCPMC9535215

What OpenQuestion holds

Textmetadata
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.