TY - JOUR
T1 - Stages and determinants of e-government development
T2 - A twelve-year longitudinal study of global cities
AU - Ingrams, Alex
AU - Manoharan, Aroon
AU - Schmidthuber, Lisa
AU - Holzer, Marc
PY - 2020
Y1 - 2020
N2 - Global e-government innovations are at the forefront of municipal efforts to be better organized and more efficient in delivering services and improving outcomes for the public. Scholars have argued that such innovations are embedded in institutional and environmental factors, and municipal e-government growth evolves through stages as a result of the effects of these factors. However, existing studies rarely model the distinct success factors of the different stages. This article addresses that shortcoming with data from the largest cities in the world’s top 100 “most wired” countries from 2003 to 2016. Cluster analysis addresses whether there are any consistent growth trends, and finds that there are four clusters of e-government development. Regression analysis tests whether stages may be driven by specific factors, and findings reveal that e-government stages mostly have uniform drivers. Population size, GDP, and regional competition have a positive association across all stages. However, democracy level appears to have a more ambiguous status, as it influences some higher stages in large countries but has a negative association in small countries.
AB - Global e-government innovations are at the forefront of municipal efforts to be better organized and more efficient in delivering services and improving outcomes for the public. Scholars have argued that such innovations are embedded in institutional and environmental factors, and municipal e-government growth evolves through stages as a result of the effects of these factors. However, existing studies rarely model the distinct success factors of the different stages. This article addresses that shortcoming with data from the largest cities in the world’s top 100 “most wired” countries from 2003 to 2016. Cluster analysis addresses whether there are any consistent growth trends, and finds that there are four clusters of e-government development. Regression analysis tests whether stages may be driven by specific factors, and findings reveal that e-government stages mostly have uniform drivers. Population size, GDP, and regional competition have a positive association across all stages. However, democracy level appears to have a more ambiguous status, as it influences some higher stages in large countries but has a negative association in small countries.
U2 - 10.1080/10967494.2018.1467987
DO - 10.1080/10967494.2018.1467987
M3 - Article
SN - 1096-7494
VL - 23
SP - 731
EP - 769
JO - International Public Management Journal
JF - International Public Management Journal
IS - 6
ER -