German Translation of the Concerns for Information Privacy (CFIP) Construct

Harborth, David; Pape, Sebastian

doi:10.2139/ssrn.3112207

Cited by 11 publications

(9 citation statements)

References 17 publications

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“…Based on our findings, we recommend that future studies, particularly those in non-English speaking countries, should exercise caution in applying the same measurements and assumptions to employment that have been used in previous research [27,53]. Also because recent work revealed validation problems for such scales, even when used in the original (online) context and with native English speakers [25].…”

Section: Limitations and Future Workmentioning

confidence: 75%

Employees’ privacy perceptions: exploring the dimensionality and antecedents of personal data sensitivity and willingness to disclose

Tolsdorf

Reinhardt

Iacono

2022

Proceedings on Privacy Enhancing Technologies

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The processing of employees’ personal data is dramatically increasing, yet there is a lack of tools that allow employees to manage their privacy. In order to develop these tools, one needs to understand what sensitive personal data are and what factors influence employees’ willingness to disclose. Current privacy research, however, lacks such insights, as it has focused on other contexts in recent decades. To fill this research gap, we conducted a cross-sectional survey with 553 employees from Germany. Our survey provides multiple insights into the relationships between perceived data sensitivity and willingness to disclose in the employment context. Among other things, we show that the perceived sensitivity of certain types of data differs substantially from existing studies in other contexts. Moreover, currently used legal and contextual distinctions between different types of data do not accurately reflect the subtleties of employees’ perceptions. Instead, using 62 different data elements, we identified four groups of personal data that better reflect the multi-dimensionality of perceptions. However, previously found common disclosure antecedents in the context of online privacy do not seem to affect them. We further identified three groups of employees that differ in their perceived data sensitivity and willingness to disclose, but neither in their privacy beliefs nor in their demographics. Our findings thus provide employers, policy makers, and researchers with a better understanding of employees’ privacy perceptions and serve as a basis for future targeted research on specific types of personal data and employees.

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Section: Limitations and Future Workmentioning

confidence: 75%

Employees’ privacy perceptions: exploring the dimensionality and antecedents of personal data sensitivity and willingness to disclose

Tolsdorf

Reinhardt

Iacono

2022

Proceedings on Privacy Enhancing Technologies

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“…CFIP received independent empirical confirmations of its factor structure, first by Stewart and Segars [61], but also by Harborth and Pape [27] on its German translation. In a somewhat related yet largely unnoticed analysis of general privacy concern, Castañda et al [13] considered the factor structure on collection and use sub-factors, bearing distinct similarity to the first two dimensions of CFIP.…”

Section: Genesis Of Iuipcmentioning

confidence: 97%

“…IUIPC is based on Concerns for information privacy (CFIP) [60], itself a popular scale measuring organizational information privacy concern, which has been validated in independent empirical stud-ies [61,27]. Both CFIP and IUIPC scales have been endorsed by Preibusch [53] as a sound instrument.…”

Section: Introductionmentioning

confidence: 99%

Validity and Reliability of the Scale Internet Users' Information Privacy Concern (IUIPC) [Extended Version]

Groß¹

2020

Preprint

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Open Science Framework: https://osf.io/5pywm. This is the author's version of this work. ity raises doubts how well IUIPC-10 measures the latent variable information privacy concern. The sub-par reliability could yield spurious and erratic results as well as attenuate relations with other latent variables, such as behavior. Thereby, the instrument could confound studies of human factors of PETs or the privacy paradox, in general.

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“…The CFIP questionnaire was validated by surveying 355 consumers from the USA and applying confirmatory factor analysis (CFA) (Stewart and Segars, 2002). So far, this questionnaire had been considered as one of the most established methods to measure quantitatively information privacy concerns (Harborth and Pape, 2018) and had been widely used in the literature (Harborth and Pape, 2017;Stewart and Segars, 2002). However, the CFIP and its measurement instrument were originally defined for users in an offline context (Palos-Sanchez et al, 2017).…”

Section: Cfip: Concerns For Information Privacymentioning

confidence: 99%

Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal

González-Pizarro

Figueroa

López

et al. 2022

Comput Supported Coop Work

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While there is increasing global attention to data privacy, most of their current theoretical understanding is based on research conducted in a few countries. Prior work argues that people's cultural backgrounds might shape their privacy concerns; thus, we could expect people from different world regions to conceptualize them in diverse ways. We collected and analyzed a large-scale dataset of tweets about the #CambridgeAnalytica scandal in Spanish and English to start exploring this hypothesis. We employed word embeddings and qualitative analysis to identify which information privacy concerns are present and characterize language and regional differences in emphasis on these concerns. Our results suggest that related concepts, such as regulations, can be added to current information privacy frameworks. We also observe a greater emphasis on data collection in English than in Spanish. Additionally, data from North America exhibits a narrower focus on awareness compared to other regions under study. Our results call for more diverse sources of data and nuanced analysis of data privacy concerns around the globe.

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German Translation of the Concerns for Information Privacy (CFIP) Construct

Cited by 11 publications

References 17 publications

Employees’ privacy perceptions: exploring the dimensionality and antecedents of personal data sensitivity and willingness to disclose

Employees’ privacy perceptions: exploring the dimensionality and antecedents of personal data sensitivity and willingness to disclose

Validity and Reliability of the Scale Internet Users' Information Privacy Concern (IUIPC) [Extended Version]

Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal

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