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Two-phased composite I-distance indicator approach for evaluation of countries’ information development

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  • Dobrota, Marina
  • Martic, Milan
  • Bulajic, Milica
  • Jeremic, Veljko

Abstract

The development of Information and Communication Technologies (ICT) is an important issue that affects countries’ socioeconomic prosperity, and the majority of studies indicate that the productivity effect of ICT is quite significant. Thus, measuring the countries information development can gain numerous benefits since comparisons and rankings create a major challenge for countries’ further advancement and development. The aim of this paper is multiple. It firstly elaborates the term of the information society and examines countries’ ICT development. Secondly, it debates on the importance of measurement and ranking, emphasizing the methods of measuring the information society. It reviews the ICT Development Index (IDI) as one of these methods, pointing to its drawbacks. The disadvantages of the IDI are mostly related to its bias and uncertainty. This paper accentuates the importance of the stability and objectiveness of a measurement method, and for this reason it presents the Composite I-distance Indicator (CIDI) methodology for measuring countries’ ICT development that overcomes these drawbacks. In the case study, we analysed a dataset of 157 countries. The results presented in this study clearly indicate that the CIDI ranking methodology is unbiased and more stable than the official IDI ranking methodology, and can be used as an appropriate framework for information society evaluation measurement.

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  • Dobrota, Marina & Martic, Milan & Bulajic, Milica & Jeremic, Veljko, 2015. "Two-phased composite I-distance indicator approach for evaluation of countries’ information development," Telecommunications Policy, Elsevier, vol. 39(5), pages 406-420.
    • Handle: RePEc:eee:telpol:v:39:y:2015:i:5:p:406-420
    DOI: 10.1016/j.telpol.2015.03.003
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    2. Anatoly Sidorov & Pavel Senchenko, 2020. "Regional Digital Economy: Assessment of Development Levels," Mathematics, MDPI, vol. 8(12), pages 1-23, December.
    3. Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2019. "Shedding Light on the Doing Business Index: a Machine Learning Approach," Business Systems Research, Sciendo, vol. 10(2), pages 73-84, September.
    4. Maricic, Milica & Bulajic, Milica & Dobrota, Marina & Jeremic, Veljko, 2016. "Redesigning The Global Food Security Index: A Multivariate Composite I-Distance Indicator Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4(01), pages 1-18, January.
    5. Petrović, Marijana & Bojković, Nataša & Stamenković, Mladen & Anić, Ivan, 2018. "Supporting performance appraisal in ELECTRE based stepwise benchmarking model," Omega, Elsevier, vol. 78(C), pages 237-251.
    6. Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2016. "Multivariate approach to imposing additional constraints on the Benefit-of-the-Doubt model: The case of QS World University Rankings by Subject," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 2(1), pages 1-14, September.
    7. Ali, Mohammad Afshar & Alam, Khorshed & Taylor, Brad, 2020. "Measuring the concentration of information and communication technology infrastructure in Australia: Do affordability and remoteness matter?," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    8. Santeramo, Fabio Gaetano, 2016. "Methodological challenges in building composite indexes: Linking theory to practice," MPRA Paper 73276, University Library of Munich, Germany.

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