D 2019

How smart technologies and big data affect systems’ life? Conceptual reflections on the Smart City’ ecosystem

CAPUTO, Francesco, Petr ŠTĚPÁNEK and Leonard WALLETZKÝ

Basic information

Original name

How smart technologies and big data affect systems’ life? Conceptual reflections on the Smart City’ ecosystem

Authors

CAPUTO, Francesco (380 Italy, guarantor, belonging to the institution), Petr ŠTĚPÁNEK (203 Czech Republic, belonging to the institution) and Leonard WALLETZKÝ (203 Czech Republic, belonging to the institution)

Edition

Rome, Italy, Cybernetics and Systems: Social and Business Decisions [WOSC 2017 Proceedings], p. 291-297, 7 pp. 2019

Publisher

Routledge

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/19:00124770

Organization unit

Faculty of Informatics

ISBN

978-0-367-66324-7

Keywords in English

smart technologies; big data

Tags

International impact
Změněno: 16/6/2022 12:44, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

This chapter focuses on the domain of Smart City as a relevant example of ‘contamination’ among users, suppliers, resources, information, and technologies, used to improve the quality of citizen lives and the effectiveness of citizen management. It aims to investigate in which way the Smart City represents an evidence of disruptive technology to directly change the ways in which citizens perceive and interact within the citizen ecosystem. The chapter investigates the domain of Smart City with the purpose of defining a wider conceptual framework inclusive of the different dimensions on which a Smart City is based. In a world affected by an increasing attention to the topics of technologies and data, a relevant challenge to face refers to the ways in which smart technologies and Big Data can build more efficient, effective, and sustainable managerial models to satisfy the market’s needs and expectations.