Evidence map›Paper›PMID 25978360›Full record

ArticlePloS one2015

The role of the organization structure in the diffusion of innovations.

Carlos Sáenz-Royo, Carlos Gracia-Lázaro, Yamir Moreno

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Carlos Sáenz-RoyoCentro Universitario de la Defensa. 50090 Zaragoza, Spain.
Carlos Gracia-LázaroInstitute for Biocomputation and Physics of Complex Systems. University of Zaragoza, 50009 Zaragoza, Spain.
Yamir MorenoInstitute for Biocomputation and Physics of Complex Systems. University of Zaragoza, 50009 Zaragoza, Spain; Departamento de Física Teórica. University of Zaragoza, 50009 Zaragoza, Spain; Complex Networks and Systems Lagrange Lab, Institute for Scientific Interchange, Turin 10126, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion and adoption of innovations is a topic of increasing interest in economics, market research, and sociology. In this paper we investigate, through an agent based model, the dynamics of adoption of innovative proposals in different kinds of structures. We show that community structure plays an important role on the innovation diffusion, so that proposals are more likely to be accepted in homogeneous organizations. In addition, we show that the learning process of innovative technologies enhances their diffusion, thus resulting in an important ingredient when heterogeneous networks are considered. We also show that social pressure blocks the adoption process whatever the structure of the organization. These results may help to understand how different factors influence the diffusion and acceptance of innovative proposals in different communities and organizations.

Indexed as

Diffusion of InnovationHumansModels, Theoretical

Identifiers

PMID25978360
PMCPMC4433189

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.