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Adoption model of hospital information system based on cloud computing: Case study on hospitals in Bandung city
Kusnandar T.a, Surendro K.b
a STMIK Mardira Indonesia, Indonesia
b Sekolah Teknik Elektro and Informatika, Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Hospital services development continues to grow rapidly, giving a rise to competition of hospitals. To maintain the competitive level, a hospital must save its operational cost. Cloud computing service is promising the increase of service to all stakeholders including cost which changes Capital Expense (Ca-Pex) into Operational Expense (Op-Ex). This research is conducted to obtain adoption model of hospital information system based on cloud computing considering adopter’s characteristics and hospital’s organizational culture. The approach to find adopter’s characteristics is by utilizing innovation adoption elements and organizational culture. Meanwhile, model designing is conducted by Structural Equation Modeling (SEM) to find out the relations between adopter’s characteristics with organizational culture. Through SEM we will be able to know the effect of hospital management against innovation diffusion element as well as against organizational culture. At the end, we also will be able to know how big is the influence of organizational culture against cloud computing adoption, so that the result of this research could become an input to set up strategies in adopting cloud computing at hospitals. © 2013 IEEE.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Cloud computing services,Hospital information systems,Hospital management,Innovation adoption,Innovation diffusion,Operational expense,Organizational cultures,Structural equation modeling[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Cloud Computing,Diffusion Inovation,Hopital Information System[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICTSS.2013.6588083[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]