The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services

Liu, Kaifeng; Tao, Da

doi:10.1016/j.chb.2021.107026

Cited by 197 publications

(118 citation statements)

References 74 publications

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“…The analysis demonstrated a significant effect of SE on EE. These findings are consistent with previous research on the acceptance of healthcare systems ( Hsiao et al, 2011 ), home care nursing solutions ( Kohnke et al, 2014 ; Ali et al, 2021 ), telehealth solutions ( Tsai, 2014 ; Liu and Tao, 2021 ), or wearables technologies ( Gao et al, 2015 ; Huaeng et al, 2021 ). Van Houwelingen et al (2018) confirmed the substantial effect of SE on EE for medical videoconferencing.…”

Section: Discussionsupporting

confidence: 91%

Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs

Baudier¹,

Kondrateva²,

Ammi³

et al. 2023

Technovation

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Section: Discussionsupporting

confidence: 91%

Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs

Baudier¹,

Kondrateva²,

Ammi³

et al. 2023

Technovation

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“…Among the innovative models, the smart healthcare service is the most promising approach, attracting a great deal of attention from both academics and practitioners. Smart healthcare services refer to embedding the new generation of intelligent technologies into the traditional healthcare industry to provide patients with more convenient, flexible, personalized, and diversified healthcare services (5,6). The application of intelligent technologies has changed the way of value creation of service systems by improving medical devices, optimizing treatment processes, and empowering disease diagnosis and prediction, which leads to the transformation of the organizational structure, ecosystem, and innovative model of the modern healthcare service industry (7)(8)(9).…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have explored the motivations, drivers, barriers, and innovation of smart healthcare service adoption in public health from the micro-organizational perspective (5,6,18,19). Nevertheless, the analysis of the impact of smart healthcare services from a meso-industrial or macro-regional perspective remains unclear.…”

Section: Introductionmentioning

confidence: 99%

How Does Smart Healthcare Service Affect Resident Health in the Digital Age? Empirical Evidence From 105 Cities of China

Chen

Zhang

Wei

2022

Front. Public Health

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With the emergence of the digital age, smart healthcare services based on the new generation of information technologies play an increasingly important role in improving the quality of resident health. This study empirically examined the impact of regional smart healthcare services on resident health as well as the underlying mechanism by employing a two-way fixed effects model. We constructed a Regional Smart Healthcare Service Development Index and matched it with survey data from the China Health and Retirement Longitudinal Study to validate the model. The results showed that (1) smart healthcare services have a significant positive impact on resident health. (2) The availability of outpatient services and inpatient services plays a mediating role in the relationship between regional smart healthcare services and resident health. (3) The influence of regional smart healthcare services on resident health is heterogeneous among different regions. Specifically, the effect of smart healthcare services on resident health is significant in the eastern regions, while it is not significant in the central, western, and northeastern regions. The effect of smart healthcare services on resident health is significant in rural regions but not in urban regions. This study enriches the nascent research stream of smart healthcare services. This study offers useful insights for practitioners and the government to guide them in formulating smart healthcare strategies.

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“…Age was also found to have a strong negative impact on consumers' willingness to share personal information with online retailers and data brokers (Jai and King, 2016). Recent studies on smart services also found that younger adults are more likely to trust smart healthcare services if more anthropomorphic characteristics perceived (Liu and Tao, 2022).…”

Section: Research Model and Approachmentioning

confidence: 99%

“…A recent meta-analysis on the gender differences in privacy tendencies, demonstrates that females display higher privacy concerns and are more likely to activate privacy settings on social network sites than males (Tifferet, 2019). Males are more confident, adventurous and risk-prone while females are more risk-averse (Liu and Tao, 2022).…”

Section: Theoretical Configurational Propositions For Private Informa...mentioning

confidence: 99%

Revealing or concealing: privacy information disclosure in intelligent voice assistant usage- a configurational approach

Cao

Wang

2022

IMDS

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PurposeBased on communication privacy management (CPM) theory, this study aimed to explore how gender and age criteria, motivational criterion (locatability), benefit-risk ratio criteria (perceived benefits of privacy information disclosure and privacy concerns), contextual criteria (privacy experience) and boundary coordination and turbulence (perceived effectiveness of privacy policy) interact and combine in leading to voice assistant (VA) users' intention to reveal or conceal their privacy information.Design/methodology/approachA questionnaire was designed and distributed to car drivers who have intelligent VA use experience while driving. A total of 230 valid responses were collected. The fuzzy-set qualitative comparative analysis (fsQCA) approach was used to analyse the data.FindingsVia configuration analysis with fsQCA, five equivalent configurations leading to the high intention of disclosing privacy information, and one configuration leading to the intention of concealing privacy information were identified. Four theoretical configurational propositions were proposed. Moreover, the theoretical and practical implications of the findings are discussed.Originality/valueThis study offers some insightful implications in the field of private information communication in artificial intelligence applications as well as practical implications for intelligent VA application design. The findings provide empirical evidence of privacy communication management in the context of smart VA usage.

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The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services

Cited by 197 publications

References 74 publications

Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs

Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs

How Does Smart Healthcare Service Affect Resident Health in the Digital Age? Empirical Evidence From 105 Cities of China

Revealing or concealing: privacy information disclosure in intelligent voice assistant usage- a configurational approach

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