Privacy concerns and disclosure of biometric and behavioral data for travel

Ioannou, Athina; Tussyadiah, Iis; Lü, Yang

doi:10.1016/j.ijinfomgt.2020.102122

Cited by 74 publications

(63 citation statements)

References 76 publications

(136 reference statements)

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“…• Signaling surveillance. Biometrics (collecting physiological and behavioral data that allow for precise recognition capabilities) ( Ioannou et al, 2020 ; McStay , 2020 ) • Data might be shared with partners, such as members of the business network, for better market insights and data-based innovation. • Marketing and operational performance: customer profiling; data can be used to develop authentication systems (e.g.…”

Section: Firms’ Digital Technology Use and Consumer Privacy Tensionsmentioning

confidence: 99%

Digital technologies: tensions in privacy and data

Quach

Martin

Weaven

et al. 2022

J. of the Acad. Mark. Sci.

119

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Driven by data proliferation, digital technologies have transformed the marketing landscape. In parallel, significant privacy concerns have shaken consumer–firm relationships, prompting changes in both regulatory interventions and people’s own privacy-protective behaviors. With a comprehensive analysis of digital technologies and data strategy informed by structuration theory and privacy literature, the authors consider privacy tensions as the product of firm–consumer interactions, facilitated by digital technologies. This perspective in turn implies distinct consumer, regulatory, and firm responses related to data protection. By consolidating various perspectives, the authors propose three tenets and seven propositions, supported by interview insights from senior managers and consumer informants, that create a foundation for understanding the digital technology implications for firm performance in contexts marked by growing privacy worries and legal ramifications. On the basis of this conceptual framework, they also propose a data strategy typology across two main strategic functions of digital technologies: data monetization and data sharing. The result is four distinct types of firms, which engage in disparate behaviors in the broader ecosystem pertaining to privacy issues. This article also provides directions for research, according to a synthesis of findings from both academic and practical perspectives.

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Section: Firms’ Digital Technology Use and Consumer Privacy Tensionsmentioning

confidence: 99%

Digital technologies: tensions in privacy and data

Quach

Martin

Weaven

et al. 2022

J. of the Acad. Mark. Sci.

119

View full text Add to dashboard Cite

show abstract

“…In contrast, Yun et al (2013) provide evidence that privacy concerns moderate the adoption of location-based services which track users’ GPS data. Ioannou et al (2020) in turn refer to the contextual dependence of privacy concerns with regard to the disclosure of biometric data. Against this background, we ask which role individuals’ privacy concerns take in the deployment of IoT devices in healthcare by formulating the following research question:…”

Section: Literature Reviewmentioning

confidence: 99%

Out of Control – Privacy Calculus and the Effect of Perceived Control and Moral Considerations on the Usage of IoT Healthcare Devices

Princi

Krämer

2020

Front. Psychol.

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People are increasingly applying Internet of Things (IoT) devices that help them improve their fitness and provide information about their state of health. Although the acceptance of healthcare devices is increasing throughout the general population, IoT gadgets are reliant on sensitive user data in order to provide full functioning and customized operation. More than in other areas of IoT, healthcare applications pose a challenge to individual privacy. In this study, we examine whether actual and perceived control of collected data affects the willingness to use an IoT healthcare device. We further measure actual behavior as a result of a risk-benefit trade-off within the framework of privacy calculus theory. Our experiment with N = 209 participants demonstrates that while actual control does not affect the willingness to use IoT in healthcare, people have a higher intention to use an IoT healthcare device when they perceive to be in control of their data. Furthermore, we found that, prior to their decision, individuals weigh perceived risks and anticipated benefits of information disclosure, which demonstrates the potential to apply the privacy calculus in the context of IoT healthcare technology. Finally, users’ moral considerations of IoT in healthcare are discussed.

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“…Third, CPM proposes that rule formation process of private boundary is influenced by contextual factors. The privacy experience constitutes an important source of knowledge in the perception of potential privacy risks (Ioannou et al, 2020). It can also boost users' motivations to deliberate on privacy-related messages (Gu et al, 2017).…”

Section: Communication Privacy Management (Cpm) Theorymentioning

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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Privacy concerns and disclosure of biometric and behavioral data for travel

Cited by 74 publications

References 76 publications

Digital technologies: tensions in privacy and data

Digital technologies: tensions in privacy and data

Out of Control – Privacy Calculus and the Effect of Perceived Control and Moral Considerations on the Usage of IoT Healthcare Devices

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

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