Evidence map›Paper›PMID 35754991›Full record

ArticleRoyal Society open science2022

The spread of technological innovations: effects of psychology, culture and policy interventions.

Denis Tverskoi, Sudarsanam Babu, Sergey Gavrilets

Abstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Paradoxes in the coevolution of contagions and institutions.Proceedings. Biological sciences · 2024
    Article
  6. Modelling social norms: an integration of the norm-utility approach with beliefs dynamics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Operationalizing cultural adaptation to climate change: contemporary examples from United States agriculture.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  11. Article
  12. 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.

Denis TverskoiNational Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0001-5324-4533
Sudarsanam BabuDepartment of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996, USA.
Sergey GavriletsNational Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0003-1581-4018

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological innovations drive the evolution of human societies. The success of innovations depends not only on their actual benefits but also on how potential adopters perceive them and how their beliefs are affected by their social and cultural environment. To deepen our understanding of socio-psychological processes affecting the new technology spread, we model the joint dynamics of three interlinked processes: individual learning and mastering the new technology, changes in individual attitudes towards it, and changes in individual adoption decisions. We assume that the new technology can potentially lead to a higher benefit but achieving it requires learning. We posit that individual decision-making process as well as their attitudes are affected by cognitive dissonance and conformity with peers and an external authority. Individuals vary in different psychological characteristics and in their attitudes. We investigate both transient dynamics and long-term equilibria observed in our model. We show that early adopters are usually individuals who are characterized by low cognitive dissonance and low conformity with peers but are sensitive to the effort of an external authority promoting the innovation. We examine the effectiveness of five different intervention strategies aiming to promote the diffusion of a new technology: training individuals, providing subsidies for early adopters, increasing the visibility of peer actions, simplifying the exchange of opinions between people, and increasing the effort of an external authority. We also discuss the effects of culture on the spread of innovations. Finally, we demonstrate that neglecting the cognitive forces and the dynamic nature of individual attitudes can lead to wrong conclusions about adoption of innovations. Our results can be useful in developing more efficient policies aiming to promote the spread of new technologies in different societies, cultures and countries.

Indexed as

cognitive dissonanceconformitydiffusion of technological innovationsdynamics of attitudes and beliefssocial norms

Identifiers

PMID35754991
PMCPMC9214287

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.