Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study

Lai, Jung‐Yu; Wang, Juite

doi:10.1016/j.techfore.2014.06.004

Cited by 94 publications

(79 citation statements)

References 29 publications

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“…Current IS studies have addressed three types of switching. The first type is switching across different media channels, such as switching from traditional context to online context or mobile context (Lai & Wang, 2015;Park & Ryoo, 2013;Polites & Karahanna, 2012), or from online context to mobile context (Zhou, 2016). Such switching behavior is usually caused by the diffusion of new technologies, which bring creative usage experiences and benefits.…”

Section: Users' It Switching Behaviormentioning

confidence: 99%

“…First, users' decisions to switch online services are usually made based on a period of usage of the incumbent services, which is similar to human migration (Bhattacherjee & Park, 2014;Peng et al 2016). Second, previous studies have validated the use of real-world migration model to explain and predict switching decisions in various IT contexts, such as social network services (Chang et al 2014), online gaming (Hou et al 2011) and e-health systems (Lai & Wang, 2015), etc. To the best of our knowledge, the PPM framework has not been used to explain users' switching behaviors in cloud storage context.…”

Section: Research Modelmentioning

confidence: 99%

“…For post-adoption, high perception of risk can also lead to discontinued usage (Yang & Lin, 2015). As a related variable, a higher perception of security has been found to attract users to switch to a new service (Bhattacherjee & Park, 2014;Lai & Wang, 2015;Ye & Potter, 2011). Therefore, it is reasonable to assume that perceived risk would reduce users' intention to use incumbent cloud storage service and motivate users to switch to an alternative with lower perceived risk.…”

Section: Push Effect: Perceived Riskmentioning

confidence: 99%

“…In both human migration (Curran & Saguy, 2013) and IT switching studies (Lai & Wang, 2015;Peng et al 2016;Zhou, 2016), trust shows significant impact on users' decision process. This construct has been divided into three types: institution-based trust, knowledge-based trust, and transfer trust.…”

Section: Pull Effect: Transfer Trustmentioning

confidence: 99%

“…Avoidance coping (n/s); Approach coping (active coping, support seeking, emotional venting) (-) (Lai and Wang 2015) Cloud healthcare service Yes Low satisfaction (þ) Low commitment (þ) Habit (-) Switching Costs (-)…”

Section: Limitations and Future Workmentioning

confidence: 99%

See 4 more Smart Citations

Understanding users' intention to switch personal cloud storage services: Evidence from the Chinese market

Vassileva

Zhao

2017

Computers in Human Behavior

110

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Section: Users' It Switching Behaviormentioning

confidence: 99%

Section: Research Modelmentioning

confidence: 99%

Section: Push Effect: Perceived Riskmentioning

confidence: 99%

Section: Pull Effect: Transfer Trustmentioning

confidence: 99%

Section: Limitations and Future Workmentioning

confidence: 99%

See 3 more Smart Citations

Understanding users' intention to switch personal cloud storage services: Evidence from the Chinese market

Vassileva

Zhao

2017

Computers in Human Behavior

110

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Understanding users' switching intention of cloud storage services: A push‐pull‐mooring framework

Mohd‐Any,

Sarker,

Hui

2023

J of Consumer Behaviour

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Highly sensitive and private information is stored in the cloud, so understanding how and why customers choose and switch between cloud storage service providers is pivotal. However, prior studies have tended to focus on users' adoption of cloud storage services, whereas little attention has been paid to their switching intention behavior based on non‐functional factors. Using the push‐pull model, developed from human migration theory, and by employing a survey (n = 326), we demonstrate that the push factor (i.e., satisfaction) has a significant negative effect, while the pull factor (i.e., alternative attractiveness) has a significant positive effect on users' switching intentions. Furthermore, mooring factors such as switching costs, habitual use, and past switching experiences have a varying moderation effect on the relationship between push and pull factors and switching intentions. The results offer several important theoretical and actionable managerial implications.

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Health care service delivery based on the Internet of things: A systematic and comprehensive study

Uşak

Kubiatko

Shabbir

et al. 2019

Int J Communication

142

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SummaryToday, the Internet of Things (IoT) becomes a heterogeneous and highly distributed structure which can respond to the daily needs of people and different organizations. With the fast development of IT‐based technologies such as IoT and cloud computing, low‐cost health services and their support, efficient supervision of the centralized management, and monitoring of public health can be realized. Therefore, there has been increasing attention in the integration of IoT and health care both in academic and the business world. However, while the health care service industry fully holds the welfares of information systems for its personnel and patients, there is a need for an improved understanding of the issues and opportunities related to IoT‐based health care systems. But, as far as we know, the detailed review and deep discussion in this field are very rare. Hence, in this paper, we presented a literature review on the IoT‐based health care services from papers published until 2018. Moreover, the drawbacks and benefits of the reviewed mechanisms have been discussed, and the main challenges of these mechanisms are highlighted for developing more efficient IoT techniques over health care services in the future. The results of this paper will be valuable for both practitioners and academicians, and it can provide visions into future research areas in this domain. By providing comparative information and analyzing the current developments in this area, this paper will directly support academics and working professionals for better knowing the progress in IoT mechanisms. As a general result, we found that IoT could help the governments to improve health services in society and commercial interactions.

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Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study

Cited by 94 publications

References 29 publications

Understanding users' intention to switch personal cloud storage services: Evidence from the Chinese market

Understanding users' intention to switch personal cloud storage services: Evidence from the Chinese market

Understanding users' switching intention of cloud storage services: A push‐pull‐mooring framework

Health care service delivery based on the Internet of things: A systematic and comprehensive study

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