A Study of Effects of UTAUT-Based Factors on Acceptance of Smart Health Care Services

Moon, Yoo-Jin; Hwang, Young-Ho

doi:10.1007/978-3-662-47895-0_38

Cited by 10 publications

(12 citation statements)

References 8 publications

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“…Thus, the more important the recommendations of others are to a user, the more he or she will take up and adopt mobile Internet. Zhou (2011) and Madara (2013) found that mobile data service continuance intentions can be significantly affected by social influence in the sense that social influence is positively related to intention to use (Moon & Hwang, 2016).…”

Section: Social Influencementioning

confidence: 99%

Mobile Internet Adoption in Malaysian Suburbs: The Moderating Effect of Gender

Wong¹,

Leong²,

Puah³

2020

AJBR

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This study utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT2) to identify the factors affecting the adoption and use of mobile Internet in the Malaysian suburban context. Seven key constructs comprise performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and habit are used for the investigation. Gender is hypothesized to moderate the effects of the factors on behavioural intention and use behaviour. A self-administered questionnaire was adopted and a total of 403 usable responses were employed for the analysis, using partial least squares structural equation modelling. The findings of the analysis revealed that all key constructs (except social influence) affect mobile Internet adoption among suburban users. Gender was found to moderate the relationships among effort expectancy, social influence, hedonic motivation, price value, habit, and behavioural intention. Importance-performance map analysis for gender also demonstrated that awareness needs to be created for all factors (except price value) with slightly different weights for all factors. These findings provide crucial implications for mobile Internet service providers to formulate their strategies for suburban users. This study represents one of the few attempts to reveal the behavioural intention and use behaviour for mobile Internet among Malaysian suburban users by taking gender into consideration.

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Section: Social Influencementioning

confidence: 99%

Mobile Internet Adoption in Malaysian Suburbs: The Moderating Effect of Gender

Wong¹,

Leong²,

Puah³

2020

AJBR

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“…For example, UTAUT has been used to investigate consumers' use of online shopping platforms [20], electronic banks [21], intelligent robots [22], and social media [23]. Others have applied UTAUT or UTAUT2 models in the medical field to study mobile healthcare [7][8][9], e-health services [10], virtual health communities [11], smart medical services [12], and personal health files [24].…”

Section: User Acceptance and Adoption Of Technologymentioning

confidence: 99%

“…At present, most research on the factors that influence the acceptance of emerging technologies is based on the unified theory of acceptance and use of technology (UTAUT). Studies have found, for example, that factors such as performance expectation, effort expectation, social influence, and convenience affect the adoption of mobile medicine [7][8][9], electronic medical services [10], virtual health communities [11], and intelligent medical services [12]. Compared to previous studies, the present one used both the UTAUT model and the health belief model (HBM) to explore the factors affecting consumers' willingness to use PM.…”

Section: Introductionmentioning

confidence: 99%

Examining Users’ Adoption of Precision Medicine: The Moderating Role of Medical Technical Knowledge

Wang

Liu

2020

IJERPH

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Precision medical technologies have received a great deal of attention, but promoting such technologies remains a problem for enterprises and medical institutions. Adopting the unified theory of acceptance and use of technology (UTAUT) model and the health belief model (HBM), this study investigated the key factors affecting users’ willingness to adopt precision medicine (PM) in terms of technical factors and external stimuli. Based on 415 questionnaires, performance expectancy, price value, social influence, and perceived threat of disease were found to significantly increase users willingness to adopt PM; meanwhile, privacy risks had the opposite effect. Knowledge about PM was found to strengthen the positive effect of performance expectancy, price value, social influence, and perceived threat of disease on willingness to adopt PM and weaken the negative effect of privacy risk. This study demonstrates the successful application of UTAUT to the medical field while also providing guidance for the promotion of PM.

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“…Big Five personality traits as moderators Findings indicate that facilitating conditions and perceived value had a significant effect on behavioral intention to use m-Health information through social media. Conscientiousness acts as moderator for facilitating conditions and perceived value(Moon & Hwang, 2016) Multiple-Regression Analysis 126 Korean College Students UTAUT plus personal innovativeness, and perceived enjoyment Findings suggest that social influence positively affects user intention to use, and that performance expectancy is positively correlated with the intention to use. Perceived enjoyment positively affects the potential intention to use the services.…”

mentioning

confidence: 99%

“…(Boontarig et al, 2012;Cimperman et al, 2016;De Veer et al, 2015;Hoque & Sorwar, 2017;Idrish et al, 2017;Macedo, 2017;Quaosar et al, 2018)(Dzimiera, 2017;Hsu et al, 2013;Jewer, 2018) Social influences(Hoque & Sorwar, 2017;Macedo, 2017;Moon & Hwang, 2016;Quaosar et al, 2018)( Boontarig et al, 2012;De Veer et al, 2015) Facilitating conditions(Boontarig, 2016;Boontarig et al, 2012;Cimperman et al, 2016;Dwivedi et al, 2016;Idrish et al, 2017;Jewer, 2018;Moon & Hwang, 2016;Nisha et al, 2019)(Hoque & Sorwar, 2017;Quaosar et al, 2018) Hedonic motivation(Gao et al, 2015;Macedo, 2017 ;Ravangard et al, 2017)( Dwivedi et al, 2016) Price value(Boontarig, 2016;Boontarig et al, 2012)( Macedo, 2017) Habit(Macedo, 2017;Ravangard et al, 2017) …”

mentioning

confidence: 99%