Strategic Approach to Privacy Calculus of Wearable Device User Regarding Information Disclosure and Continuance Intention

Cho, Ji Yeon; Ko, Dae-Sun; Lee, Bong Gyou

doi:10.3837/tiis.2018.07.020

Cited by 11 publications

(7 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…García-Jurado et al (2019) found that fun is a key factor influencing the intention to continue using a product. Therefore, SWDs and the user scenarios of gamification will influence continued usage intention through users' perceived value (Cho et al, 2018;Dehghani et al, 2018).…”

Section: Effect Of Gamification On Perceived Valuementioning

confidence: 99%

Continued usage of smart wearable devices (SWDs): cross-level analysis of gamification and network externality

2022

View full text Add to dashboard Cite

With the increasing maturity of mobile networks and big data technology, smart wearable devices (SWDs) are regarded as a new technology trend following smartphones. Especially during the COVID-19 pandemic, the increase in telework and the growing interest in self-health monitoring have greatly promoted the market growth of SWDs. This study aimed to investigate the factors affecting the continued use of SWDs. A cross-level analysis model that integrates technical characteristics, gamification theory, perceived value theory, and network externality was constructed. A hierarchical linear model was employed to evaluate the data and test it against the hypotheses. The empirical results showed that, at the individual level, gamification enhances users’ value perceptions. Users pay more attention to rewards in gamification than to competition. Rewards were also found to effectively promote the users’ value perception and increase the intention to continue using the device. At the group level, the effect of network externality significantly influences the intention to continue using SWDs. Moreover, SWDs are associated with the phenomenon by which consumers conspicuously display and highlight their own characteristics, and this attribute is also a crucial factor enticing consumers to continue using SWDs. Developers should therefore establish clear product positioning and strengthen interactivity as early as possible to build a loyal customer base.

show abstract

Section: Effect Of Gamification On Perceived Valuementioning

confidence: 99%

Continued usage of smart wearable devices (SWDs): cross-level analysis of gamification and network externality

2022

View full text Add to dashboard Cite

show abstract

“…Specific to continuation, previous literature indicates that users' continuance intention can be determined by factors that lie in technical and personal aspects. The technical aspect includes factors that affect users' online health management experience, such as usefulness [12], ease of use [14], usability [36], service quality [13], privacy risk [18], etc. The personal aspect covers attitude [37], innovativeness [36], perceived behavior control [7], personal appeal [15], habit [10], value perception [8], lifestyle congruence [11], etc.…”

Section: Research On Users' Loyalty To Smart Health Devicesmentioning

confidence: 99%

“…However, there are three distinct research gaps in this field. First, most of the previous loyalty literature is based on technology adoption-related theories, such as the technology acceptance model [13][14][15], the theory of planned behavior [16,17], and the privacy calculus theory [18,19], etc., which has certain limitations in understanding users' post-adoption behavior [10,20]. Second, although an increasing body of literature has investigated the factors influencing users' behaviors, most of them focused on the online aspect (e.g., perceived enjoyment, perceived privacy risk, and system quality) of adopting smart health devices [10,13,14], ignoring the offline health management purpose, which actually exerts a critical role in determining users' behaviors [21].…”

Section: Introductionmentioning

confidence: 99%

How to Improve Users’ Loyalty to Smart Health Devices? The Perspective of Compatibility

Xin

Zhang

et al. 2021

Sustainability

View full text Add to dashboard Cite

Despite the explosive growth of smart health devices in recent years, the industry faces serious sustainability challenges. From the perspective of compatibility, this study proposed a theoretical model to help understand the formation of users’ loyalty. Using an online survey method, we collected empirical data from 375 users with experience of smart health devices. The results indicate that compatibility with online health management and compatibility with value positively affect users’ satisfaction, which in turn contributes to users’ loyalty to smart health devices. Meanwhile, both compatibility with online and offline health management have significant impacts on users’ compatibility with value. Finally, the mediation tests suggested that user satisfaction significantly mediates the effects of compatibility with online practice and compatibility with value on loyalty. Theoretically, this study contributes to the literature by investigating the influence of three compatibilities on loyalty and verifying the underlying mechanism linking them. Practically, the findings of this study can provide valuable insights for practitioners to increase consumers’ loyalty.

show abstract

“…, 2019), task–technology fit theory (Wiegard et al. , 2019), technology acceptance model (TAM) (Kim and Chiu, 2019), privacy calculus theory (Cho et al. , 2018; Jain et al.…”

Section: Introductionmentioning

confidence: 99%

Understanding the purchase intention of fitness wearables: using value-based adoption model

Mathavan

Vafaei-Zadeh²,

Hanifah³

et al. 2022

APJBA

View full text Add to dashboard Cite

PurposeThis paper aims to investigate the key enablers and inhibitors that influence the intention to use fitness wearables using the value-based adoption model (VAM).Design/methodology/approachData were collected using a structured online questionnaire from 323 respondents who had never used fitness wearables. A purposive sampling technique was used in this study. Smart PLS was employed to test the research framework and hypotheses using a two-step approach.FindingsThe findings support some of the hypotheses developed with R2 values of 0.622 for perceived value (PV) and 0.567 for intention to use fitness wearable. Perceived enjoyment, perceived social image and perceived usefulness had a positive effect on PV. In addition, health information sensitivity (HIS) was positively related to perceived privacy risk and health information accuracy was positively related to perceived usefulness. Surprisingly, this study did not find any significant relationship between perceived fee, perceived privacy risk, perceived health increase and perceived design aesthetics with PV.Practical implicationsThis study's findings can help designers and manufacturers design fitness wearables by considering factors that users find valuable, thus satisfying consumers' needs.Originality/valueThis study tries to model behavioural intention of fitness wearable usage of individual users by using the VAM with the addition of two new antecedences, HSI and health information accuracy, to better explain the behaviour.

show abstract

Strategic Approach to Privacy Calculus of Wearable Device User Regarding Information Disclosure and Continuance Intention

Cited by 11 publications

References 34 publications

Continued usage of smart wearable devices (SWDs): cross-level analysis of gamification and network externality

Continued usage of smart wearable devices (SWDs): cross-level analysis of gamification and network externality

How to Improve Users’ Loyalty to Smart Health Devices? The Perspective of Compatibility

Understanding the purchase intention of fitness wearables: using value-based adoption model

Contact Info

Product

Resources

About