Araştırma Notu

Calculating Digital Transformation Index with Geographically Weighted Regression

Cilt: 27 Sayı: 1 1 Mart 2023
PDF İndir
TR EN

Calculating Digital Transformation Index with Geographically Weighted Regression

Öz

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.

Anahtar Kelimeler

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mikro İktisat (Diğer)

Bölüm

Araştırma Notu

Yayımlanma Tarihi

1 Mart 2023

Gönderilme Tarihi

1 Aralık 2022

Kabul Tarihi

12 Ocak 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 27 Sayı: 1

Kaynak Göster

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
AMA
1.Kabakuş AK, Yorulmaz M. Calculating Digital Transformation Index with Geographically Weighted Regression. Current Perspectives in Social Sciences. 2023;27(1):76-85. doi:10.5152/JSSI.2023.2132363
Chicago
Kabakuş, Ahmet Kabil, ve Merve Yorulmaz. 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.
EndNote
Kabakuş AK, Yorulmaz M (01 Mart 2023) Calculating Digital Transformation Index with Geographically Weighted Regression. Current Perspectives in Social Sciences 27 1 76–85.
IEEE
[1]A. K. Kabakuş ve M. Yorulmaz, “Calculating Digital Transformation Index with Geographically Weighted Regression”, Current Perspectives in Social Sciences, c. 27, sy 1, ss. 76–85, Mar. 2023, doi: 10.5152/JSSI.2023.2132363.
ISNAD
Kabakuş, Ahmet Kabil - Yorulmaz, Merve. “Calculating Digital Transformation Index with Geographically Weighted Regression”. Current Perspectives in Social Sciences 27/1 (01 Mart 2023): 76-85. https://doi.org/10.5152/JSSI.2023.2132363.
JAMA
1.Kabakuş AK, Yorulmaz M. Calculating Digital Transformation Index with Geographically Weighted Regression. Current Perspectives in Social Sciences. 2023;27:76–85.
MLA
Kabakuş, Ahmet Kabil, ve Merve Yorulmaz. “Calculating Digital Transformation Index with Geographically Weighted Regression”. Current Perspectives in Social Sciences, c. 27, sy 1, Mart 2023, ss. 76-85, doi:10.5152/JSSI.2023.2132363.
Vancouver
1.Ahmet Kabil Kabakuş, Merve Yorulmaz. Calculating Digital Transformation Index with Geographically Weighted Regression. Current Perspectives in Social Sciences. 01 Mart 2023;27(1):76-85. doi:10.5152/JSSI.2023.2132363

Cited By

Content of this journal is licensed under a Creative Commons Attribution NonCommercial 4.0 International License
29909