Scrutinizing the Smart City Index: a multivariate statistical approach

Olga Bogdanov (), Veljko Jeremiæ (), Sandra Jednak () and Mladen Èudanov ()
Additional contact information
Olga Bogdanov: University of Belgrade, Multidisciplinary Studies, Rectors Office, Studentski Trg 1 Street, 11000 Belgrade, Serbia
Veljko Jeremiæ: University of Belgrade, Faculty of Organizational Sciences, Jove Ilica Street 154, 11000 Belgrade, Serbia
Sandra Jednak: University of Belgrade, Faculty of Organizational Sciences, Jove Ilica Street 154, 11000 Belgrade, Serbia
Mladen Èudanov: University of Belgrade, Faculty of Organizational Sciences, Jove Ilica Street 154, 11000 Belgrade, Serbia

Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, 2019, vol. 37, issue 2, 777-799

Abstract: The smart city represents a frequently elaborated concept which however comes short in delivering a consistent definition. Nevertheless, almost every description has always been oriented to its technological component, sustainable development policies, and enabling high capacities for learning and innovation. Moreover, the smart city aims at connecting people, information and other city elements using state-of-the-art technologies. As a result, it creates a sustainable, greener city, pushes forward competitive and innovative commerce, and increases overall life quality. The integrated view of a smart city underlines it does not operate in isolation, which is why every subsystem of a city needs to develop its smart component. A wide range of rankings is used to determine the smartness of cities by mapping out the pros and cons of each analysed city. As the way to integrate various indicators into one value which will represent the rank, a composite index approach is most frequently used. Still, composite indexes are usually formed using the equal weight approach, which is heavily criticised in current literature. In this paper, we try to provide added value to the Smart City Index by implementing the statistical post hoc I-distance approach. The procedure enables us to shed some additional light on the issue of sensitivity of cities’ rank. The application of post hoc I-distance defines indicators which are most significant for the ranking process. It consequently empowers city decision-makers to improve their performance, with a focus on those particular indicators.

Keywords: post hoc I-distance; smart city; sustainable development; technology; integration (search for similar items in EconPapers)
JEL-codes: C38 O18 O30 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.efri.uniri.hr/upload/ZBORNIK%202_2019/ ... 20et%20al-2019-2.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rfe:zbefri:v:37:y:2019:i:2:p:777-799

Access Statistics for this article

More articles in Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics from University of Rijeka, Faculty of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Danijela Ujcic ().