Detailed Information on Publication Record
2019
How smart technologies and big data affect systems’ life? Conceptual reflections on the Smart City’ ecosystem
CAPUTO, Francesco, Petr ŠTĚPÁNEK and Leonard WALLETZKÝBasic 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.