DocumentCode :
3666184
Title :
Towards Developing a New I-P Technology Adoption Framework: A Research Road Map
Author :
Ismail Bile Hassan;Masrah Azrifah Azmi Murad;Rozi Nor Haizan Binti Nor;Salfarina Binti Abdullah
Author_Institution :
Dept. of Inf. Syst., Univ. Putra Malaysia, Serdang, Malaysia
fYear :
2014
Firstpage :
77
Lastpage :
83
Abstract :
While several studies have been conducted relating to the acceptability and use of Smart National Identity Card (SNIC), research in determining factors that influence the citizens´ acceptance and use of health information application in (SNIC) has not yet been conducted. This paper presents a new paradigm of individual level technology acceptance and use framework known as I-P (Individual-Privacy) to study the acceptance and use of health information application in SNIC. Furthermore, the prior literatures discovered that there are factors such as trust, perceived risk, Privacy concern and perceived credibility need to be incorporated into technology adoption models. Therefore, this research contributes to the body of knowledge towards acceptance and use of SNIC applications from e-government perspective by providing a clear understanding on interrelationships of both technology adoption and privacy calculus factors in predicting health information application in SNIC acceptance and use. This study applies extended Unified Theory of Acceptance and Use of Technology (UTAUT2) along with the privacy calculus model as the foundation information system theories. Nevertheless it is argued that UTAUT2 is a broad framework of technology adoption. For that reason, this study integrates the UTAUT2 with privacy calculus model and adds perceived credibility as a new variable to support the existing UTAUT2 model. The research framework and recommendations of this study may enable to establish better innovative e-health services as to cover the desires of the citizens through the use of health information application embedded in all in one card. Initial results to assess the validity of measurement items are presented in this paper. Further statistical analysis will be conducted in the future to provide proof and empirically validate the I-P framework.
Keywords :
"Privacy","Hospitals","Calculus","Government","Medical diagnostic imaging","Diseases","Mathematical model"
Publisher :
ieee
Conference_Titel :
Computer Assisted System in Health (CASH), 2014 International Conference on
Type :
conf
DOI :
10.1109/CASH.2014.15
Filename :
7286674
Link To Document :
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