2018
DOI: 10.1504/ijeh.2018.10013367
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Understanding EHRs continuance intention to use from the perspectives of UTAUT: practice environment moderating effect and top management support as predictor variables

Abstract: This study attempts to comprehend factors influencing nurses' continuance intention to use electronic health records (EHR) system in Jordan since they as the key service providers in healthcare services are main users of the system. Their acceptance and usage of the system are imperative to evaluate the system's implementation success. A cross-sectional survey is conducted on the fully implemented EHR system public hospitals. Study framework is based on the extended model of the unified theory of acceptance an… Show more

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Cited by 6 publications
(3 citation statements)
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“…The complexity of smart services is linked to the discomfort experienced by users who utilize SCS technology. Users’ dissatisfaction is likely to have a negative impact on their capacity to use the channels, as well as on their perceptions of SCS in general [ 51 , 52 ]. [ 53 ] opined that the experience of consumers with technology application is a major element in measuring consumer satisfaction with products and services.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The complexity of smart services is linked to the discomfort experienced by users who utilize SCS technology. Users’ dissatisfaction is likely to have a negative impact on their capacity to use the channels, as well as on their perceptions of SCS in general [ 51 , 52 ]. [ 53 ] opined that the experience of consumers with technology application is a major element in measuring consumer satisfaction with products and services.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Only satisfied IS users will continue to use the existing IS while those who are dissatisfied will likely drop that IS for a new system (Deng et al, 2010;Susanto et al, 2016). The direct influence of satisfaction on continuance intention has been studied in a multitude of contexts (Franque et al, 2020;Nabavi et al, 2016) such as in online tourism (Liu et al, 2020), mobile commerce (Gao et al, 2015), e-learning (Joo et al, 2017), health applications (Alsyouf & Ishak, 2018), and e-government (Veeramootoo et al, 2018). In the context of a digital platform, the significant relationship between satisfaction and continuance intention was also examined by authors such as Cheng et al (2019) in bikesharing, Alalwan (2020) in food-delivering and Poromatikul et al (2019) in mobile banking, to name a few.…”
Section: Continuance Intention (Ci) and Satisfaction (Sa)mentioning
confidence: 99%
“…UTAUT was utilised to analyse the proposal for introducing an e-mobile payment service targeted at Brazilian mobile phone users [27], whereas another study employed UTAUT to validate the acceptance of online games [28]. UTAUT was used to evaluate an electronic health record system by looking into factors impacting users' intention to use the system [29]. Howard et al [30] extended the UTAUT model to further understand the perceptions towards working with building information modelling (BIM).…”
Section: Related Workmentioning
confidence: 99%