On the Relationship Between IT Privacy and Security Behavior: A Survey Among German Private Users

Biselli, Tom; Reuter, Christian

doi:10.1007/978-3-030-86797-3_26

Cited by 6 publications

(5 citation statements)

References 37 publications

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“…For example, studies have highlighted that older adults (>40) are more concerned about privacy than younger adults [72] and less likely to self-disclose information on social media [40]. As for gender and education, the present study did not find any evidence that these are predictors of privacy personas, although some studies have considered them relevant moderators in the privacy domain [9,51,54,71]. However, the poor reliability and validity of the instrument must be taken into account when interpreting the demographic differences.…”

Section: Characteristics Of Privacy Personascontrasting

confidence: 85%

“…For example, in terms of political ideology, studies suggest that people who see themselves as rather left-wing are more critical of (predominantly state-organized) data collection on individuals [1,8,63]. Further differences have been reported, especially if attitudes and behaviors concerning security are taken into account, as privacy and security are related to a certain extent [9]. For example, analyzing gender-differential aspects, studies demonstrate that women on average show less security knowledge, experience, and behavior than men [32,47].…”

Section: The Myth Of the Average Usermentioning

confidence: 99%

“…Taking the age of users into account, younger individuals (<25 years) have been associated with weaker security behavior [38,68]. Due to the association between security and privacy [9], findings from the security domain might also be applicable to the privacy domain. In the privacy domain, older adults have been been associated with being more concerned about privacy [72] and disclosing less information on social media [40].…”

Section: The Myth Of the Average Usermentioning

confidence: 99%

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On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas

Biselli

Steinbrink

Herbert

et al. 2022

PoPETs

Self Cite

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Concise instruments to determine privacy personas – typical privacy-related user groups – are not available at present. Consequently, we aimed to identify them on a privacy knowledge–privacy behavior ratio based on a self-developed instrument. To achieve this, we conducted an item analysis (N = 820) and a confirmatory factor analysis (CFA) (N = 656) of data based on an online study with German participants. Starting with 81 items, we reduced those to an eleven-item questionnaire with the two scales privacy knowledge and privacy behavior. A subsequent cluster analysis (N = 656) revealed three distinct user groups: (1) Fundamentalists scoring high in privacy knowledge and behavior, (2) Pragmatists scoring average in privacy knowledge and behavior and (3) Unconcerned scoring low in privacy knowledge and behavior. In a closer inspection of the questionnaire, the CFAs supported the model with a close global fit based on RMSEA in a training and to a lesser extent in a cross-validation sample. Deficient local fit as well as validity and reliability coefficients well below generally accepted thresholds, however, revealed that the questionnaire in its current form cannot be considered a suitable measurement instrument for determining privacy personas. The results are discussed in terms of related persona conceptualizations, the importance of a methodologically sound investigation of corresponding privacy dimensions and our lessons learned.

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Section: Characteristics Of Privacy Personascontrasting

confidence: 85%

Section: The Myth Of the Average Usermentioning

confidence: 99%

Section: The Myth Of the Average Usermentioning

confidence: 99%

See 1 more Smart Citation

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas

Biselli

Steinbrink

Herbert

et al. 2022

PoPETs

Self Cite

View full text Add to dashboard Cite

show abstract

“…Concerning the digital crop field cards 3 and their cloud versions too, we all agree on the issue of data ownership. That we reveal a lot about ourselves, a lot goes somewhere unknown or maybe people have access to it, and we don't notice.…”

Section: Q7 (Fg5)mentioning

confidence: 82%

“…However, when developing privacyenhancing solutions for specific use cases, it is necessary to investigate the behavior and preferences of the target audience. Not only privacy and security behavior [3], but also user perception and reality often differ, as research in other domains shows: Malkin et al [27] investigated the perception of users with regard to smart speakers and found serious misconceptions. About half of the participants were unaware that smart speaker recordings are permanently stored.…”

Section: The Influence Of Users' Perception On Privacy Preferencesmentioning

confidence: 99%

The Role of Privacy in Digitalization—Analyzing Perspectives of German Farmers

Kuntke

2024

Technology, Peace and Security I Technologie, Frieden Und Sicherheit

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Technological progress can disrupt domains and change the way we work and collaborate. This paper presents a qualitative study with 52 German farmers that investigates the impact of the ongoing digitalization process in agriculture and discusses the implications for privacy research. As in other domains, the introduction of digital tools and services leads to the data itself becoming a resource. Sharing this data with products along the supply chain is favored by retailers and consumers, who benefit from traceability through transparency. However, transparency can pose a privacy risk. Having insight into the business data of others along the supply chain provides an advantage in terms of market position. This is particularly true in agriculture, where there is already a significant imbalance of power between actors. A multitude of small and medium-sized farming businesses are opposed by large upstream and downstream players that drive technological innovation. Further weakening the market position of farmers could lead to severe consequences for the entire sector. We found that on the one hand, privacy behaviors are affected by adoption of digitalization, and on the other hand, privacy itself influences adoption of digital tools. Our study sheds light on the emerging challenges for farmers and the role of privacy in the process of digitalization in agriculture.

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Separating the Siamese twins: a proposed methodology for differentiating between privacy and security

Hirschprung

2023

Behaviour & Information Technology

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On the Relationship Between IT Privacy and Security Behavior: A Survey Among German Private Users

Cited by 6 publications

References 37 publications

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas

The Role of Privacy in Digitalization—Analyzing Perspectives of German Farmers

Separating the Siamese twins: a proposed methodology for differentiating between privacy and security

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