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

      research-article
      1 , 2 , , 3 , 6 , 1 , 2 , 4 , 5
      Royal Society Open Science
      The Royal Society
      diffusion of technological innovations, conformity, social norms, cognitive dissonance, dynamics of attitudes and beliefs

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          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.

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          Most cited references176

          • Record: found
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          • Article: not found

          The theory of planned behavior

          Icek Ajzen (1991)
          Organizational Behavior and Human Decision Processes, 50(2), 179-211
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Technical Change and the Aggregate Production Function

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Threshold Models of Collective Behavior

                Bookmark

                Author and article information

                Contributors
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society
                2054-5703
                June 22, 2022
                June 2022
                June 22, 2022
                : 9
                : 6
                : 211833
                Affiliations
                [ 1 ] National Institute for Mathematical and Biological Synthesis, University of Tennessee, , Knoxville, TN 37996, USA
                [ 2 ] Center for the Dynamics of Social Complexity, University of Tennessee, , Knoxville, TN 37996, USA
                [ 3 ] Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, , Knoxville, TN 37996, USA
                [ 4 ] Department of Ecology and Evolutionary Biology, University of Tennessee, , Knoxville, TN 37996, USA
                [ 5 ] Department of Mathematics, University of Tennessee, , Knoxville, TN 37996, USA
                [ 6 ] Manufacturing Science Division, Oak Ridge National Laboratory, , Oak Ridge, TN 37830, USA
                Author notes

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.6035739.

                Author information
                http://orcid.org/0000-0001-5324-4533
                http://orcid.org/0000-0003-1581-4018
                Article
                rsos211833
                10.1098/rsos.211833
                9214287
                35754991
                baba7ba6-bbbc-4abb-980b-b5c87f533f42
                © 2022 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : November 22, 2021
                : June 1, 2022
                Funding
                Funded by: U. S. Army Research Office;
                Award ID: W911NF-14-1-0637
                Award ID: W911NF-18-1-0138
                Funded by: U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office;
                Award ID: DE-AC05-00OR22725
                Funded by: National Institute for Mathematical and Biological Synthesis, http://dx.doi.org/10.13039/100008947;
                Award ID: NSF Award #EF-0830858
                Funded by: Office of Naval Research, http://dx.doi.org/10.13039/100000006;
                Award ID: W911NF-17-1-0150
                Categories
                1008
                1001
                119
                14
                Mathematics
                Research Articles

                diffusion of technological innovations,conformity,social norms,cognitive dissonance,dynamics of attitudes and beliefs

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