2022
DOI: 10.1016/j.techfore.2021.121449
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Understanding the Mechanism Between IT Identity, IT Mindfulness and Mobile Health Technology Continuance Intention: An Extended Expectation Confirmation Model

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Cited by 53 publications
(62 citation statements)
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“…Wang et al (2021) also combined ECM and self-determination theory (SDT) and found that intrinsic motivation of using mHealth apps also had a significant impact on satisfaction and continuance intention. Considering information technology (IT)-specific traits, Wu, Zhou, Wang, Huang, and Yuan (2022) integrated ECM with IT identify and IT mindfulness and found that they are associated with consumers' continuance intention with mHealth technology. In addition, relevant literature with different theories has also begun to increase, such as trust theory (Meng, Guo, Peng, Ye, & Lai, 2022) uses and gratification theory (Lee & Cho, 2017), Service Quality (SERVQUAL) (Akter, D'Ambra, & Ray, 2010;Kim et al, 2019), valence framework (Xiao, Mo, & Huang, 2021) and flow theory (Yan, Filieri, Raguseo, & Gorton, 2021).…”
Section: Jebdementioning
confidence: 99%
“…Wang et al (2021) also combined ECM and self-determination theory (SDT) and found that intrinsic motivation of using mHealth apps also had a significant impact on satisfaction and continuance intention. Considering information technology (IT)-specific traits, Wu, Zhou, Wang, Huang, and Yuan (2022) integrated ECM with IT identify and IT mindfulness and found that they are associated with consumers' continuance intention with mHealth technology. In addition, relevant literature with different theories has also begun to increase, such as trust theory (Meng, Guo, Peng, Ye, & Lai, 2022) uses and gratification theory (Lee & Cho, 2017), Service Quality (SERVQUAL) (Akter, D'Ambra, & Ray, 2010;Kim et al, 2019), valence framework (Xiao, Mo, & Huang, 2021) and flow theory (Yan, Filieri, Raguseo, & Gorton, 2021).…”
Section: Jebdementioning
confidence: 99%
“…While health applications are potentially convenient for older people, scientific evidence of their popularity among younger generations is scarce (Lee, 2021; Schuuring et al , 2016). Although younger people are more inclined to use new technologies, they are indifferent to using health technologies (Wu et al , 2022). A report published by the World Health Organization (2021) stated that over 1.5 million adolescents and young adults aged 10–24 years died in 2019 – nearly 5,000 every day.…”
Section: Introductionmentioning
confidence: 99%
“…Using traditional adoption theories such as Theory of Reasoned Action, Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology, a body of previous studies has addressed the adoption of technology services from a human-technology interaction perspective (Li, 2020;Kamal et al, 2020;Wu, 2018). These studies are insightful but not adequate for explaining the adoption mechanism of MMC services because they have paid little attention to IT-specific traits enabled by the MMC platform in the process of patient-platform interaction (Wu et al, 2022b). Diverged from the previous perspective, this study argues that IT identity is a suitable overarching concept to fill this gap as it describes consumers' emotional ties with specific IT and is a product of personal histories of interacting with IT (Esmaeilzadeh, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Specific to the MMC context, in the process of MMC service delivery, a patient may continuously interact with the MMC platform to search for information or consult a physician. This repetitive interaction will make the MMC platform be integrated into a patient's sense of self and internalize into a type of IT identity called MMC platform identity (Wu et al, 2022b). There is robust literature available to prove that MMC platform identity is an important predictor of consumer engagement with mHealth (Reychav et al, 2019;Esmaeilzadeh, 2020).…”
Section: Introductionmentioning
confidence: 99%