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Citizens' readiness to crowdsource smart city services: A developing country perspective.

Authors :
Staletić, Nada
Labus, Aleksandra
Bogdanović, Zorica
Despotović-Zrakić, Marijana
Radenković, Božidar
Source :
Cities. Dec2020, Vol. 107, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

The paper studies the citizens' readiness for implementation of crowdsourcing services of a smart city. The main goal is to develop a methodological approach that would enable the identification of those crowdsourcing services based on the Internet of things and mobile technologies that will encourage the participation of citizens. The research focus is on developing countries and cities not yet fully aligned with smart city standards. The methodological approach of examining citizens' readiness was based on an analysis of crowdsourcing models, such as crowd wisdom, crowdfunding, crowdvoting and crowdsensing, and their application in various fields, such as traffic, environmental conservation, utility services and health. The data was gathered in the city of Belgrade, Republic of Serbia, for two years through a survey that included a sample of 210 citizens. The results indicate that citizens are ready to accept crowdsourcing services related to environmental conservation (crowdfunding services that support solar energy development and environmental protection) and public transportation (crowdvoting and crowd wisdom services that can improve the state of the public transport). The proposed methodological approach and obtained results could serve as a good basis for initiating the implementation of smart city projects in Serbia and other cities and governments. • A methodological approach of examining the citizens' readiness to accept crowdsourcing services in developing countries. • The priority list of the prospective crowdsourcing services in the smart city in developing country. • The results should help public administrations to strengthen relations with citizens through new e-participation services. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02642751
Volume :
107
Database :
Academic Search Index
Journal :
Cities
Publication Type :
Academic Journal
Accession number :
147115731
Full Text :
https://doi.org/10.1016/j.cities.2020.102883