Healthcare professionals' use of health clouds: Integrating technology acceptance and status quo bias perspectives

doi:10.1016/j.ijmedinf.2015.03.004

CNU IR > College of Smart Living > Dept. of Hospital and Health (including master's program) > Periodical Articles > Item 310902800/29649

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/29649

Title:	Healthcare professionals' use of health clouds: Integrating technology acceptance and status quo bias perspectives
Authors:	Hsieh, Pi-Jung
Contributors:	醫務管理系
Keywords:	Health cloud Dual factor theory User resistance Technology acceptance model Status quo bias theory Theory of planned behavior
Date:	2015-07
Issue Date:	2016-04-19 19:03:17 (UTC+8)
Publisher:	Elsevier Ireland Ltd
Abstract:	Purpose: Cloud computing technology has recently been seen as an important milestone in medical informatics development. Despite its great potential, there are gaps in our understanding of how users evaluate change in relation to the health cloud and how they decide to resist it. Integrating technology acceptance and status quo bias perspectives, this study develops an integrated model to explain healthcare professionals' intention to use the health cloud service and their intention to resist it.Methods: A field survey was conducted in Taiwan to collect data from healthcare professionals; a structural equation model was used to examine the data. A valid sample of 209 healthcare professionals was collected for data analysis.Results: The results show that healthcare professionals' resistance to the use of the health cloud is the result of regret avoidance, inertia, perceived value, switching costs, and perceived threat. Attitude, subjective norm, and perceived behavior control are shown to have positive and direct effects on healthcare professionals' intention to use the health cloud. The results also indicate a significant negative effect in the relationship between healthcare professionals' intention and resistance to using the health cloud.Conclusion: Our study illustrates the importance of incorporating user resistance in technology acceptance studies in general and in health technology usage studies in particular. This study also identifies key factors for practitioners and hospitals to make adoption decisions in relation to the health cloud. Further, the study provides a useful reference for future studies in this subject field. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
Relation:	International Journal of Medical Informatics, v.84 n.7, pp.512-523
Appears in Collections:	[Dept. of Hospital and Health (including master's program)] Periodical Articles

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