Is Contact Tracing for Pandemic Relief or Privacy Menace?: a Lens of Dual-Calculus Decision

Lee, Eunji; Yoo, Chul Woo; Goo, Jahyun; Nam, Kichan; Koo, Chulmo

doi:10.1007/s10796-023-10420-7

Cited by 1 publication

(2 citation statements)

References 72 publications

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“…, 2020), privacy self-efficacy (Dienlin and Metzger, 2016), privacy fatigue (Zhu et al. , 2021), institutional privacy protection (Lee et al. , 2023b) and so on.…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

“…institutional privacy protection (Lee et al, 2023b) and so on. Specifically, there are two approaches: one involves enriching and refining the constituents of perceived benefits and perceived risks (Jozani et al, 2020;Eitiveni et al, 2023), or introducing additional antecedents to both (Eitiveni et al, 2023;Wang et al, 2016;Najafian et al, 2023;Kim et al, 2019); the alternative approach involves the integration of supplementary variables into the original model, alongside perceived benefits and perceived risks, serving as antecedents to the intention of privacy behavior (Lee et al, 2023a;Nabity-Grover et al, 2023).…”

Section: Theoretical Background and Hypotheses Development 21 The Pri...mentioning

confidence: 99%

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To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

Chen,

Huang,

2024

IMDS

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PurposeIn the paradox of personalized services and privacy risks, what factors influence users’ decisions is considered an interesting issue worth exploring. The current study aims to empirically explore privacy behavior of social media users by developing a theoretical model based on privacy calculus theory.Design/methodology/approachPrivacy risks, conceptualized as natural risks and integrated risks, were proposed to affect the intention of privacy disclosure and protection. The model was validated through a hybrid approach of structural equation modeling (SEM)-artificial neural network (ANN) to analyze the data collected from 527 effective responses.FindingsThe results from the SEM analysis indicated that social interaction and perceived enjoyment were strong determinants of perceived benefits, which in turn played a dominant role in the intention to disclose the privacy in social media. Similarly, trust and privacy invasion experience were significantly related to perceived risks that had the most considerable effect on users’ privacy protection intention. And the following ANN models revealed consistent relationships and rankings with the SEM results.Originality/valueThis study broadened the application perspective of privacy calculus theory to identify both linear and non-linear effects of privacy risks and privacy benefits on users’ intention to disclose or protect their privacy by using a state-of-the-art methodological approach combining SEM and ANN.

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“…, 2020), privacy self-efficacy (Dienlin and Metzger, 2016), privacy fatigue (Zhu et al. , 2021), institutional privacy protection (Lee et al. , 2023b) and so on.…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Section: Theoretical Background and Hypotheses Development 21 The Pri...mentioning

confidence: 99%

To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

Chen,

Huang,

2024

IMDS

View full text Add to dashboard Cite

show abstract

Is Contact Tracing for Pandemic Relief or Privacy Menace?: a Lens of Dual-Calculus Decision

Cited by 1 publication

References 72 publications

To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

To disclose or to protect? Predicting social media users’ behavioral intention toward privacy

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