Evidence map›Paper›PMID 35818534›Full record

ReviewCircular economy and sustainability2023

Examining Knowledge Diffusion in the Circular Economy Domain: a Main Path Analysis.

Abderahman Rejeb, Karim Rejeb, Suhaiza Zailani, Yasanur Kayikci, John G Keogh

Abstract readReview
In one paragraph

Review in Circular economy and sustainability, 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
–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

5 authors.

Abderahman RejebDepartment of Logistics and Forwarding, Széchenyi István University, Győr, 9026 Hungary.
Karim RejebFaculty of Sciences of Bizerte, University of Carthage, Tunis, Tunisia.
Suhaiza ZailaniFaculty of Business and Accountancy, Department of Operations Management and Information System, University Malaya, 50203 Kuala Lumpur, Malaysia.
Yasanur KayikciDepartment of Engineering and Mathematics, Sheffield Hallam University, Sheffield, UK.
John G KeoghHenley Business School, University of Reading, Greenlands, RG9 3AU Henley-on-Thames UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The circular economy (CE) field has recently attracted significant interest from academics and practitioners. CE represents a departure from the linear economy, which is characterised by unsustainable resource production and consumption. The growing number of publications necessitates a comprehensive analysis of this field. This is the first systematic examination of the knowledge base and knowledge diffusion pathways in the CE domain. We analyse a Web of Science dataset containing 5431 articles published between 1970 and 2020. To create a comprehensive review of the CE domain, we conducted a keyword co-occurrence network analysis. We examined four distinct types of main paths using the main path analysis (MPA) technique: forward, backward, global, and key-route. According to the analyses, CE research focuses on six primary research themes: CE and sustainability, bioeconomy, CE practices, lifecycle assessment and industrial symbiosis, construction activities, and waste management. In addition, the MPA demonstrates that the CE literature has recently focused on Industry 4.0 technologies and their contribution to CE. This is the first attempt to depict the genealogy of CE research so that scholars can comprehend the domain's evolutionary structure, identify hot topics, and capture the history, development status, and potential future directions of CE research.

Indexed as

Circular economyEco-innovationIndustry 4.0.Knowledge diffusionMain path analysisSustainability

Identifiers

PMID35818534
PMCPMC9261236

What OpenQuestion 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 OpenQuestion graph.