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Calculating Digital Transformation Index with Geographically Weighted Regression

Year 2023, Volume: 27 Issue: 1, 76 - 85, 01.03.2023
https://doi.org/10.5152/JSSI.2023.2132363

Abstract

The purpose of this study is to examine the factors affecting the regional digitalization processes of information and communication technologies with the spatial regression method in Türkiye. In the research, separate models were created for the regions where 81 provinces are located from the data obtained from the household information technologies usage survey covering the years 2017, 2018, and 2019 by the Turkish Statistical Institute, and an index related to the factors affecting digital transformation was calculated. As a result of the study, according to the digital transformation index, significant differences were observed between regions depending on the factors telecommunication infrastructure, education, labor force, employment opportunities, and the ability to use electronically provided services. As a result, this research will serve as a road map for what needs to be done to develop digital transformation in cities.

Calculating Digital Transformation Index with Geographically Weighted Regression

Year 2023, Volume: 27 Issue: 1, 76 - 85, 01.03.2023
https://doi.org/10.5152/JSSI.2023.2132363

Abstract

The purpose of this study is to examine the factors affecting the regional digitalization processes of information and communication technologies with the spatial regression method in Türkiye. In the research, separate models were created for the regions where 81 provinces are located from the data obtained from the household information technologies usage survey covering the years 2017, 2018, and 2019 by the Turkish Statistical Institute, and an index related to the factors affecting digital transformation was calculated. As a result of the study, according to the digital transformation index, significant differences were observed between regions depending on the factors telecommunication infrastructure, education, labor force, employment opportunities, and the ability to use electronically provided services. As a result, this research will serve as a road map for what needs to be done to develop digital transformation in cities.

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Details

Primary Language English
Subjects Microeconomics (Other)
Journal Section Research Articles
Authors

Ahmet Kabil Kabakuş This is me 0000-0003-3209-0672

Merve Yorulmaz This is me 0000-0002-5257-3762

Publication Date March 1, 2023
Published in Issue Year 2023 Volume: 27 Issue: 1

Cite

APA Kabakuş, A. K., & Yorulmaz, M. (2023). Calculating Digital Transformation Index with Geographically Weighted Regression. Current Perspectives in Social Sciences, 27(1), 76-85. https://doi.org/10.5152/JSSI.2023.2132363

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