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Assessing citizens’ non-adoption of public e-services in Germany

Assessing citizens’ non-adoption of public e-services in Germany The amount of acceptance literature stands in sharp contrast to the persistently low adoption rates of public e-services in most European countries. Despite huge investments on the one hand and a vast body of literature on success factors on the other hand, citizens are surprisingly uninterested in the use of public e-services. However, only few studies explicitly address phenomena of resistance or non-adoption. In order to explain citizens’ non-adoption and adoption of public e-services, this article builds on the Inhibitor Theory as an analytical framework, based on which a dual factor-model is proposed and tested with survey data from 495 German citizens. The results of this study indicate that non-adoption of public e-services is less driven by technical issues than suggested in current literature. Instead, the need for personal consultation and status quo bias are the strongest predictors of citizens’ non-adoption. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Polity IOS Press

Assessing citizens’ non-adoption of public e-services in Germany

Information Polity , Volume 25 (3): 22 – Sep 4, 2020

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Publisher
IOS Press
Copyright
Copyright © 2020 © 2020 – IOS Press and the authors. All rights reserved
ISSN
1570-1255
eISSN
1875-8754
DOI
10.3233/IP-190214
Publisher site
See Article on Publisher Site

Abstract

The amount of acceptance literature stands in sharp contrast to the persistently low adoption rates of public e-services in most European countries. Despite huge investments on the one hand and a vast body of literature on success factors on the other hand, citizens are surprisingly uninterested in the use of public e-services. However, only few studies explicitly address phenomena of resistance or non-adoption. In order to explain citizens’ non-adoption and adoption of public e-services, this article builds on the Inhibitor Theory as an analytical framework, based on which a dual factor-model is proposed and tested with survey data from 495 German citizens. The results of this study indicate that non-adoption of public e-services is less driven by technical issues than suggested in current literature. Instead, the need for personal consultation and status quo bias are the strongest predictors of citizens’ non-adoption.

Journal

Information PolityIOS Press

Published: Sep 4, 2020

References