A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB

Liu, Kaifeng; Or, Calvin; So, Mike K. P.; Cheung, Bernard Man Yung; Chan, Bill K. P.; Tiwari, Afy; Tan, Joseph

doi:10.1016/j.apergo.2021.103667

Cited by 41 publications

(23 citation statements)

References 61 publications

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“…They also favor eHealth technology that enables shared decision-making, physical exercise training, socializing, and booking health examinations [62,66,67,92,93]. In addition, users find convenient and easy-to-use eHealth to be more attractive, suggesting that usability and technology acceptance should be taken into consideration when designing and implementing technology for eHealth, which is consistent with the literature [86,[94][95][96][97][98][99][100][101][102][103].…”

Section: Implications For Practice Policy and Future Researchsupporting

confidence: 78%

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Xie¹,

Chen²,

Or³

2022

J Med Internet Res

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Background Despite the great potential of eHealth, substantial costs are involved in its implementation, and it is essential to know whether these costs can be justified by its benefits. Such needs have led to an increased interest in measuring the benefits of eHealth, especially using the willingness to pay (WTP) metric as an accurate proxy for consumers’ perceived benefits of eHealth. This offered us an opportunity to systematically review and synthesize evidence from the literature to better understand WTP for eHealth and its influencing factors. Objective This study aimed to provide a systematic review of WTP for eHealth and its influencing factors. Methods This study was performed and reported as per the Cochrane Collaboration and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, CINAHL Plus, Cochrane Library, EconLit, and PsycINFO databases were searched from their inception to April 19, 2022. We conducted random-effects meta-analyses to calculate WTP values for eHealth (at 2021 US dollar rates) and meta-regression analyses to examine the factors affecting WTP. Results A total of 30 articles representing 35 studies were included in the review. We found that WTP for eHealth varied across studies; when expressed as a 1-time payment, it ranged from US $0.88 to US $191.84, and when expressed as a monthly payment, it ranged from US $5.25 to US $45.64. Meta-regression analyses showed that WTP for eHealth was negatively associated with the percentages of women (β=−.76; P<.001) and positively associated with the percentages of college-educated respondents (β=.63; P<.001) and a country’s gross domestic product per capita (multiples of US $1000; β=.03; P<.001). Compared with eHealth provided through websites, people reported a lower WTP for eHealth provided through asynchronous communication (β=−1.43; P<.001) and a higher WTP for eHealth provided through medical devices (β=.66; P<.001), health apps (β=.25; P=.01), and synchronous communication (β=.58; P<.001). As for the methods used to measure WTP, single-bounded dichotomous choice (β=2.13; P<.001), double-bounded dichotomous choice (β=2.20; P<.001), and payment scale (β=1.11; P<.001) were shown to obtain higher WTP values than the open-ended format. Compared with ex ante evaluations, ex post evaluations were shown to obtain lower WTP values (β=−.37; P<.001). Conclusions WTP for eHealth varied significantly depending on the study population, modality used to provide eHealth, and methods used to measure it. WTP for eHealth was lower among certain population segments, suggesting that these segments may be at a disadvantage in terms of accessing and benefiting from eHealth. We also identified the modalities of eHealth that were highly valued by consumers and offered suggestions for the design of eHealth interventions. In addition, we found that different methods of measuring WTP led to significantly different WTP estimates, highlighting the need to undertake further methodological explorations of approaches to elicit WTP values.

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Section: Implications For Practice Policy and Future Researchsupporting

confidence: 78%

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Xie¹,

Chen²,

Or³

2022

J Med Internet Res

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“…, 2020), online shopping (Xu et al. , 2021), the self-management of chronic disease (Liu et al. , 2022), and m-banking (Elhajjar and Ouaida, 2020; Mostafa, 2020).…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Mobile banking service quality and customer value co-creation intention: a moderated mediated model

Hijazi

2022

IJBM

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PurposeThe objective of this paper is to explore the possible impact of mobile banking service quality (MBSQ) on customer value co-creation intention (CVCI).Design/methodology/approachA questionnaire was administered to research participants from Jordan. A total of 562 valid questionnaires were analysed. Mediation and moderation evaluations were performed in order to examine the function performed by MBSQ, customer engagement (CE), and social presence as determinants of CVCI. Structural equation modeling of type covariance-SEM using AMOS software was employed for the analysis.FindingsThe research results verify the proposition that MBSQ, CE, and social presence can all influence. In addition, the mediating role of customer engagement in respect of the relationship between MBSQ and CVCI is also confirmed in this research.Practical implicationsThis research is of use to bank managers who must allocate resources during the development of m-banking platforms, wherein value co-creation in banking can be promoted.Originality/valueThis study comprises an original contribution to current scholarship in the field of m-banking through its examination of the impact of customer engagement with m-banking. Moreover, this research augments current literature pertaining to the function of MBSQ in relation to CVCI as tempered by customer engagement and social presence.

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“…Our results are also in line with the longitudinal study by Liu et al (2022) who, using the TPB, concluded that perceived behavioural control does not affect the intention to use tablets after 24 weeks (T2) in Chinese patients with chronic diseases. They also showed that the strength of attitude to explain the intention to use tablets increases with the time of use of this technology [ 14 ].…”

Section: Discussionmentioning

confidence: 99%

“…Despite the breadth and variety of studies that have used TPB, there is a lack of research that validates this theory in longitudinal or pseudo-longitudinal studies. Some exceptions are Plotnikoff, Lubans, Trinh, & Craig (2012), Leung (2019), Roux, Gourlan, & Cousson-Gélie (2021), Thaker & Ganchoudhuri (2021), and Liu et al (2022), who examined different behaviours and target populations [ 10 , 11 , 12 , 13 , 14 ]. Supplementary Table S1 shows the path coefficients (B, betas) found in each relationship of the TPB at the different times considered and the determination coefficients R 2 that explain the percentage of variance in the intention to execute the behaviour in question [ 10 , 11 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

“…Some exceptions are Plotnikoff, Lubans, Trinh, & Craig (2012), Leung (2019), Roux, Gourlan, & Cousson-Gélie (2021), Thaker & Ganchoudhuri (2021), and Liu et al (2022), who examined different behaviours and target populations [ 10 , 11 , 12 , 13 , 14 ]. Supplementary Table S1 shows the path coefficients (B, betas) found in each relationship of the TPB at the different times considered and the determination coefficients R 2 that explain the percentage of variance in the intention to execute the behaviour in question [ 10 , 11 , 12 , 13 , 14 ]. In general, the attitude, subjective norm, and perceptions of control predict the intention to execute the behaviour in question.…”

Section: Introductionmentioning

confidence: 99%

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Acceptance of Social Networking Sites by Older People before and after COVID-19 Confinement: A Repeated Cross-Sectional Study in Chile, Using the Theory of Planned Behaviour (TPB)

Ramírez-Correa

Grandón

Arenas-Gaitán

et al. 2022

IJERPH

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This study aims to examine the capacity of the Theory of Planned Behaviour (TPB) to explain the intention to use social networking sites by older people in two time periods, before and after confinement due to the COVID-19 epidemic, as well as the evolution of effects (paths) over time of TPB’s determinants. Based on interviews from samples of 384 and 383 elderly Chilean adults collected before and after confinement, the evolution of the effects (paths) was analysed using the TPB model applying the PLS-SEM technique. The intention to use social networks and its association with three factors were evaluated: attitude toward the behaviour, subjective norms, and perceived control over the behaviour. The model explains the intention to use social networks by 27% before confinement, increasing its magnitude to 50% after confinement. After the period of confinement, their attitudes become more significant, their perceptions of control become less important, and social pressures remain permanent in predicting the behaviour. In conclusion, better access and greater use of social networks by older people during the lockdown period increased the predictive strength of the attitude towards these technologies.

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A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB

Cited by 41 publications

References 61 publications

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis

Mobile banking service quality and customer value co-creation intention: a moderated mediated model

Acceptance of Social Networking Sites by Older People before and after COVID-19 Confinement: A Repeated Cross-Sectional Study in Chile, Using the Theory of Planned Behaviour (TPB)

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