Paper Title :Determinant Factors Toward Healthcare Cloud Services – User Prespective Differences
Author :Shu-Ping Lin, Chen-Lung Yang, Thao-Minh Ho
Article Citation :Shu-Ping Lin ,Chen-Lung Yang ,Thao-Minh Ho ,
(2016 ) " Determinant Factors Toward Healthcare Cloud Services – User Prespective Differences " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 16-21,
Volume-4, Issue-9
Abstract : Along with recent advances in cloud technology and its integration with technical scientific services, healthcare
cloud services with evolutionary, ubiquitous, on-demand access to virtually endless resources in combination with a pay-peruse
model that allows for new ways of developing, delivering and using services has performed very well in handling the
shortcomings of the present healthcare industry, subsequently become a fast growing area in healthcare industry worldwide
and has been regarded as a new opportunity for the future healthcare industry. Nonetheless, despite abundant benefits of
cloud technology, cloud-based solutions remain being in the preliminary stage of development in Taiwan; hence,
understanding of the determinants of acceptance toward this service in order to better plan and design appropriate healthcare
cloud application service model will significantly promote the development of healthcare cloud devices and systems. Taking
these premises, this study aims to (1) explore the determinants influencing users’ intention behavior toward Healthcare
Cloud Services (HCS) by integrating Health Belief Model (HBM), Technology Acceptance Model (TAM), Innovation
Diffusion Theory (IDT) and Information System Success (ISS) and (2) identify actual key service factors based on the
achieved extent of effects to be the foundation for proposing the most effective service improvement solutions. Due to
previous studies indicated that customer needs of public health program design depend on their health status and the
emerging occurrence of the “sub-health” group in this era which has motivated this research for conducting sufficient
exploration on real demands of different kinds of users toward healthcare cloud services, this study targets two kinds of
respondents (i.e., healthcare cloud service subhealth users and chronic/diabetes self-management care cloud services) to be
the research objects. Through using questionnaire survey and convenience sampling method for collecting data, 311 valid
responses out of 350 distributed survey questionnaires were returned in case of healthcare cloud service subhealth users
(response rate of 89%) and 233 valid responses out of 320 distributed questionnaires (72.8%) were returned in case of
chronic disease/diabetes self-management care cloud services. Structural Equation Mode (SEM) and multiple-group SEM
were then adopted for data analysis. With the achieved key factors influencing users’ use intention, especially in accordance
with each user group, this study hopes to provide relevant units in the healthcare industry and service industries with helpful
designing and planning references.
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Index terms- Technology acceptance model (TAM), Innovation diffusion theory (IDT), Health belief model (HBM);
Information system success (ISS), Healthcare cloud services (HCS).
Type : Research paper
Published : Volume-4, Issue-9
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-5654
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Published on 2016-10-22 |
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