2015
DOI: 10.1016/j.dss.2015.06.003
|View full text |Cite
|
Sign up to set email alerts
|

Understanding continuance intentions of physicians with electronic medical records (EMR): An expectancy-confirmation perspective

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
30
1
1

Year Published

2016
2016
2021
2021

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 67 publications
(37 citation statements)
references
References 44 publications
(106 reference statements)
1
30
1
1
Order By: Relevance
“…When the actual performance of the information system lives up to consumer expectation, the consumer will perceive its usefulness and obtain a high degree of satisfaction [39,43,86]. According to the ECM, perceived usefulness can influence the continued use intention of the information system [32].…”
Section: Hypotheses Of the Ecmmentioning
confidence: 99%
“…When the actual performance of the information system lives up to consumer expectation, the consumer will perceive its usefulness and obtain a high degree of satisfaction [39,43,86]. According to the ECM, perceived usefulness can influence the continued use intention of the information system [32].…”
Section: Hypotheses Of the Ecmmentioning
confidence: 99%
“…Expectation confirmation theory is widely applied in the field of consumer behavior to study consumer continuance intentions [20][21][22]. Oliver argues that customers have pre-purchase expectations of a product or service they intend to purchase, which create an initial reference point according to which one makes a comparative judgment [23].…”
Section: Theoretical Modelmentioning
confidence: 99%
“…The UTAUT model has been successfully applied in studies of various health-related technologies, including information systems [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ], health facilities [ 25 ], and telehealth care services [ 26 , 27 , 28 ], which indicates that the model is viable for assessing health-related technology usage behaviors. Therefore, the present study sought to determine the perceived benefits of PHR for a user and the factors affecting usage behaviors as references to guide the system’s future improvement.…”
Section: Introductionmentioning
confidence: 99%