Scopus Eşleşmesi Bulundu
18
Atıf
10
Cilt
🔓
Açık Erişim
Özet
E-government services are essential to societies because they save time, reduce corruption, provide efficient, low-cost, and fast service, increase transparency, and enhance trust in the government. These applications save time, which translates to cost savings by reducing bureaucratic crowds and fatigue and eliminating the need for citizens to travel for offline transactions. This study investigates various factors related to citizens' use of e-government services according to gender differences during and before COVID-19. The microdata set from the Survey on Information and Communication Technology (ICT) Usage in Households conducted by TURKSTAT in 2018 and 2021 was used. Additionally, the binary logistic regression method was employed to analyze these factors. According to the research results, it has been determined that variables such as age, education level, occupation, e-commerce use, internet financial transaction status, number of people in the household, and region are associated with women's use of e-government services during the COVID-19 pandemic. The study found that the significance and impact of these variables on the use of e-government services differ based on the gender of individuals and the periods. The study provides recommendations for IT professionals, staff of the interior ministries, and researchers interested in increasing the use of e-government services. This research may also pioneer efforts to identify priority areas for expanding e-government services.
Web of Science Eşleşmesi Bulundu
17
WoS Atıf
10
Cilt
Article
Belge Türü
Kaynak: HELIYON
Anahtar Kelimeler (WoS)
Havuzumuzdaki Atıflar 0
Bu makaleye, sistemimizdeki Scopus veritabanında bulunan 0 makale atıf yapmıştır. Scopus genel atıf sayısı: 18.
Bu makaleye, kendi Scopus havuzumuzdaki başka bir makaleden atıf kaydı bulunmuyor.
Scimago Dergi Bilgisi
Otomatik ISSN Eşleştirmesi
2024 yılı verileri
Heliyon
Q1
SJR Quartile
0,644
SJR Skoru
115
H-Index
🔓
Açık Erişim
Kategoriler: Multidisciplinary (Q1)
Alanlar: Multidisciplinary
Ülke: United Kingdom
· Elsevier Ltd
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir.
Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.
Anahtar Kelimeler
Covid-19 pandemic
Gender differences
Electronic government
E -government
Binary logistic regression
T & uuml
rkiye
WoS |
Bir kelimeye tıklayıp ilgili kaynaktaki yayınları görün.
Makale Bilgileri
Dergi
Heliyon
ISSN
2405-8440
Yıl
2024
/ 8. ay
Cilt / Sayı
10
/ 15
Makale Türü
Özgün Makale
Hakemlik
Hakemli
Endeks
SCI-Expanded
JCR Quartile
Q1
Teşvik Puanı
10,80
· YÖKSİS Akademik Teşvik
Yayın Dili
İngilizce
Kapsam
Uluslararası
Toplam Yazar
3 kişi
Erişim Türü
Elektronik
Alan
Fen Bilimleri ve Matematik Temel Alanı
İstatistik
Uygulamalı İstatistik
YÖKSİS Yazar Kaydı
Yazar Adı
ÖZTAŞKIN HASAN SERKAN,İYİT NESLİHAN,ALKAN ÖMER
YÖKSİS ID
7984282