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Digital Technologies Acceptance/Adoption Modeling Respecting Age Factor

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Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1160))

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Abstract

New technologies are needed to ensure a targeted development of the economy which measures the well-being of the population and the quality of life. For the technology to be successfully implemented, it must first be accepted, but then adopted. It’s not always the same thing. The aim of the study is to identify age groups that are prospective and responsive to the introduction of new digital technologies. An Acceptance/Adoption/Age (3A) model based on systems dynamics simulation is being examined. The model respects the age group of the potential adopter and allows for predicting possible results of the introduction of new digital technologies.

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Acknowledgements

The article publication is initiated by EC FLAG-ERA project FuturICT 2.0 (2017-2020) “Large scale experiments and simulations for the second generation of FuturICT”.

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Authors and Affiliations

  1. Riga Technical University, Daugavgrivas Street 2-434, Riga, 1048, Latvia

    Egils Ginters

  2. Sociotechnical Systems OU, Sakala Street 7-2, 10141, Tallinn, Estonia

    Egils Ginters

Authors
  1. Egils Ginters
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Correspondence to Egils Ginters .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

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Ginters, E. (2020). Digital Technologies Acceptance/Adoption Modeling Respecting Age Factor. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_58

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