Understanding post-adoption IS usage stages: an empirical assessment of self-service information systems
Saeed, Khawaja A. Abdinnour, Sue
Saeed, Khawaja A.
Abdinnour, Sue
Citations
Altmetric:
Authors
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2013-05
Type
Article
Genre
Keywords
Post-adoption IS usage,IS usage stages,IS acceptance,Self-service IS,Cluster analysis,Discriminant analysis
Subjects (LCSH)
Citation
Saeed, Khawaja Asjad & Sue Abdinnour. 2013. Understanding post-adoption IS usage stages: an empirical assessment of self-service information systems. Info Systems J (2013) 23, 219–244
Abstract
Organisations have invested in self-service information systems (IS)
to provide a direct interface for service delivery. Enriching the usage of these
systems can provide organisations with immense benefits. However, limited
research has been directed towards understanding post-adoption IS usage
behaviour in general and specifically in the context of self-service IS. This study
proposes post-adoption IS usage behaviour as a broader concept constituting
feature level usage of IS, integration of IS in the work system and exploration of
new uses of IS. We evaluate how the new conceptualisation can be used to
classify users at different stages of self-service IS usage. Further, we examine
user perceptions that differentiate among the users situated at different selfservice IS usage stages. Data were collected in the context of a self-service
Web-based IS to validate the post-adoption IS usage constructs and to examine
the proposed thesis. The newly developed conceptual structure and measures
for post-adoption IS usage behaviour exhibit strong psychometric properties.
The analysis shows three distinct post-adoption IS usage stages and highlights
that usefulness, user-initiated learning, ease of use, satisfaction and voluntariness of use differentiate users at the different stages of post-adoption IS usage.
The results show that these variables aggregate into value confirmation and
learning orientation as two higher-level concepts. Further, we evaluate the
predictive efficacy of the research model in classifying users into different
post-adoption self-service IS usage stages. Implications are drawn for future research.
Table of Contents
Description
Click on the DOI link to access the article (may not be free).
Publisher
Blackwell
Journal
Book Title
Series
Info Systems J;v.23: no.3
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
1350-1917