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Model for New Innovation Knowledge Spreading in Society

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Data-Centric Business and Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 195))

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Abstract

Innovation knowledge begins with the help of objective characteristics of the manifestations of human activity (both in its activity or behavior in communication with a social group). This made it possible to introduce a tuple of quantitative and qualitative parameters as a characteristic of knowledge. It shows how a metric can be entered into a tuple of knowledge (individual, social group, or society). The presence of the metric allows you to set the task of knowledge spreading as a change in the number of people who have a certain tuple of knowledge. The general model for the diffusion mechanism of knowledge spreading is considered. A method of identifying the tuple of knowledge possessed by an individual, social group, or society has been developed. The discussion is an example of the application of this method to important processes that accompany the development of society. It is shown that the obtained results can increase the efficiency of the management of migration processes. The method of determining a set of tuples, the presence of which is necessary for the functioning of a developed country, is described. The possibility of applying the obtained results to increase the efficiency of regional development management is shown.

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Author information

Authors and Affiliations

  1. Vinnytsia National Technical University, Khmelnytske Shose 95, Vinnytsia, 21021, Ukraine

    Anatolii Shyian & Liliia Nikiforova

Authors
  1. Anatolii Shyian
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  2. Liliia Nikiforova
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Correspondence to Anatolii Shyian .

Editor information

Editors and Affiliations

  1. Faculty of Information Electronic Systems, Vinnytsia National Technical University, Vinnytsia, Ukraine

    Andriy Semenov

  2. Faculty of Management and Information Security, Vinnytsia National Technical University, Vinnytsia, Ukraine

    Iryna Yepifanova

  3. Department of Economics and Finance, Comenius University Bratislava, Bratislava, Slovakia

    Jana Kajanová

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Shyian, A., Nikiforova, L. (2024). Model for New Innovation Knowledge Spreading in Society. In: Semenov, A., Yepifanova, I., Kajanová, J. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 195. Springer, Cham. https://doi.org/10.1007/978-3-031-54012-7_5

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