Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)

Informational Interaction of Authorities with Business Entities and Population: the Administrative Model and Big Data Analysis

Authors
L. Bushueva., Yu. Popova
Corresponding Author
L. Bushueva.
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DOI
https://doi.org/10.2991/icdtli-19.2019.83How to use a DOI?
Keywords
Big Data, informational interaction, information sphere, informational interaction effectiveness in the territory, the administrative model of informational interaction
Abstract
The article deals with the model of informational interaction between all subjects of the public administration system (between authorities and business entities, population and civil society) with application of new technologies for big data processing and analysis. The model includes conception, mechanisms and organizational structure of administration. In assessment of the interaction effectiveness you are invited to consider its economic, strategic and social dimensions and to determine features of the information environment functioning. The application of new technologies for Big Data processing and analysis will allow to lower ambiguity and to improve adaptedness of the public administration system in present problem solving and new governance challenges definition.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)
Publication Date
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ISBN
978-94-6252-799-7
DOI
https://doi.org/10.2991/icdtli-19.2019.83How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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AU  - L. Bushueva.
AU  - Yu. Popova
PY  - NaN/NaN
DA  - NaN/NaN
TI  - Informational Interaction of Authorities with Business Entities and Population: the Administrative Model and Big Data Analysis
BT  - International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icdtli-19.2019.83
DO  - https://doi.org/10.2991/icdtli-19.2019.83
ID  - Bushueva.NaN/NaN
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