The Mobile Privacy-Security Knowledge Gap Model: Understanding Behaviors

Crossler, Robert E.

doi:10.24251/hicss.2017.491

Cited by 28 publications

(18 citation statements)

References 52 publications

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“…Research into the practices of m‐health application vendors (FTC, ) suggest that these assumptions are flawed. Due to the sensitivity of health data, we urge privacy researchers to further investigate the gaps in privacy knowledge (Crossler & Bélanger, ) across all age groups and privacy contexts to inform educational efforts that can build literacy and address knowledge gaps.…”

Section: Discussionmentioning

confidence: 99%

Mobile health technology adoption across generations: Narrowing the digital divide

Fox

Connolly

2018

Information Systems Journal

214

141

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Mobile health (m-health) technologies offer many benefits to individuals, organizations, and health professionals alike. Indeed, the utilization of m-health by older adults can foster the development of proactive patients, while also reducing financial burden and resource pressures on health systems. However, the potentially transformative influence of m-health is limited, as many older adults resist adoption leading to the emergence of an age-based digital divide. This study leverages protection motivation theory and social cognitive theory to explore the factors driving resistance among older adults. This mixed methods study integrates survey findings with insights from qualitative interviews to highlight that the mhealth digital divide is deepening due to older adults' perceived inability to adopt and their unwillingness to adopt stemming from mistrust, high risk perceptions, and strong desire for privacy. The paper contributes to the privacy and social inclusion literature by demonstrating that while many older adults have access to m-health, they are currently excluded and require careful consideration by technology organizations and researchers. The study provides recommendations for narrowing the m-health digital divide through inclusive design and educational efforts to improve self-efficacy, develop privacy literacy, and build trust, thereby ensuring that older citizens are both capable and willing to adopt.KEYWORDS digital divide, health information privacy concerns, mixed methods, mobile health adoption, older citizens, social inclusion

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Section: Discussionmentioning

confidence: 99%

Mobile health technology adoption across generations: Narrowing the digital divide

Fox

Connolly

2018

Information Systems Journal

214

141

View full text Add to dashboard Cite

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“…Recent studies adopted the PMT in the context of BYOD security behaviour (e.g. Putri & Hovav, 2014;Tu, Adkins & Zhao, 2018;Al Askar & Shen, 2016;Hovav & Putri, 2016;Han, 2017;Dang-Pham & Pittayachawan, 2015;Crossler & Bélanger, 2017;Blythe and Coventry, 2018). The analysis of these studies shows that there is a gap in research in terms of understanding gender differences in employees' smartphone security behaviour in a cross-national context and in accounting for the role of culture.…”

Section: Conceptual Modelmentioning

confidence: 99%

Employees’ behavioural intention to smartphone security: A gender-based, cross-national study

Ameen

Tarhini

Shah

et al. 2020

Computers in Human Behavior

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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“…Smartphones, which are both widely used and vulnerable to information breaches, form a growing domain for privacy and security threats [4], [5]. In particular, significant amounts of personal information are being shared with third parties through apps [6]. App permissions, which provide smartphone users with control over what information is shared with apps, are often difficult to understand and lack transparency [7].…”

Section: Introductionmentioning

confidence: 99%

Designing a Mobile Application to Support Social Processes for Privacy Decisions

Aljallad¹,

Guo²,

Chouhan³

et al. 2019

Proceedings 2019 Workshop on Usable Security

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People often rely on their friends, family, and other loved ones to help them make decisions about digital privacy and security. However, these social processes are rarely supported by technology. To address this gap, we developed an Android-based mobile application ("app") prototype which helps individuals collaborate with people they know to make informed decisions about their app privacy permissions. To evaluate our design, we conducted an interview study with 10 college students while they interacted with our prototype. Overall, participants responded positively to the novel idea of using social collaboration as a means for making better privacy decisions. Yet, we also found that users are less inclined to help others and may be only willing to partake in conversations that directly affect themselves. We discuss the potential for embedding social processes in the design of systems that support privacy decision-making, as well as some of the challenges of this approach. I.

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The Mobile Privacy-Security Knowledge Gap Model: Understanding Behaviors

Abstract: Abstract

Cited by 28 publications

References 52 publications

Mobile health technology adoption across generations: Narrowing the digital divide

Mobile health technology adoption across generations: Narrowing the digital divide

Employees’ behavioural intention to smartphone security: A gender-based, cross-national study

Designing a Mobile Application to Support Social Processes for Privacy Decisions

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