Title
Public Feedback For Publicly Used Information Systems - Supporting Adoption Of A Mobile Self-Checkout Application
Abstract
As the physical and digital world increasingly merge, more and more information systems are being used publicly. This paper outlines current gaps in information systems adoption and usage literature with respect to applications where usage happens in public and users can be observed. We present how a purely mobile self-checkout system can be supported with public feedback channels that are designed to make users more comfortable making purchases with the mobile artifact. We illustrate how users that felt uncomfortable yet satisfied with the self-checkout artifact were less likely to make future purchases with the mobile artifact. Furthermore, we outline a field experiment in which we aim to quantify the impact of public feedback on user satisfaction, comfortableness and future usage intention.
Year
Venue
Keywords
2017
AMCIS 2017 PROCEEDINGS
Adoption, continued use, public feedback, mobile self-checkout, Bayesian inference
Field
DocType
Citations 
Information system,Bayesian inference,Computer science,Knowledge management
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Denis Vuckovac101.35
Laurent Hubert200.34
Pascal Fritzen300.34
Klaus Fuchs403.72
Alexander Ilic512921.71