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Internet privacy concerns: an integrated conceptualization and four empirical studies

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TLDR
In this article, the authors identify alternative conceptualizations of Internet privacy concerns (IPC) based on multidimensional developmental theory and a review of the prior literature and examine the various conceptualizations with four online surveys involving nearly 4,000 Internet users.
Abstract
Internet privacy concerns (IPC) is an area of study that is receiving increased attention due to the huge amount of personal information being gathered, stored, transmitted, and published on the Internet. While there is an emerging literature on IPC, there is limited agreement about its conceptualization in terms of its key dimensions and its factor structure. Based on the multidimensional developmental theory and a review of the prior literature, we identify alternative conceptualizations of IPC. We examine the various conceptualizations of IPC with four online surveys involving nearly 4,000 Internet users. As a baseline, study 1 compares the integrated conceptualization of IPC to two existing conceptualizations in the literature. While the results provide support for the integrated conceptualization, the second-order factor model does not outperform the correlated first-order factor model. Study 2 replicates the study on a different sample and confirms the results of study 1. We also investigate whether the prior results are affected by the different perspectives adopted in the wording of items in the original instruments. In study 3, we find that focusing on one's concern for website behavior (rather than one's expectation of website behavior) and adopting a consistent perspective in the wording of the items help to improve the validity of the factor structure. We then examine the hypothesized third-order conceptualizations of IPC through a number of alternative higher-order models. The empirical results confirm that, in general, the third-order conceptualizations of IPC outperform their lower-order alternatives. In addition, the conceptualization of IPC that has the best fit with the data contains a third-order general IPC factor, two second-order factors of interaction management and information management, and six first-order factors (i.e., collection, secondary usage, errors, improper access, control, and awareness). Study 4 cross-validates the results with another data set and examines IPC within the context of a nomological network. The results confirm that the third-order conceptualization of IPC has nomological validity, and it is a significant determinant of both trusting beliefs and risk beliefs. Our research helps to resolve inconsistencies in the key underlying dimensions of IPC, the factor structure of IPC, and the wording of the original items in prior instruments of IPC. Finally, we discuss the implications of this research.

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The privacy-personalization paradox in mHealth services acceptance of different age groups

TL;DR: An attribute-perception-intention model is developed, using the privacy-personalization paradox factors as independent variables that affect mHealth acceptance intention, with trust as a mediator, which shows trust can mediate the effects of perceived personalization and privacy concerns on acceptance intention.
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Research Commentary—Informing Privacy Research Through Information Systems, Psychology, and Behavioral Economics: Thinking Outside the “APCO” Box

TL;DR: This work proposes an enhanced APCO model and a set of related propositions that consider both deliberative and low-effort cognitive responses inspired by frameworks and theories in behavioral economics and psychology that also affect privacy decisions.
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Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model

TL;DR: The results of this study indicate that the second-order IUIPC factor, which consists of three first-order dimensions--namely, collection, control, and awareness--exhibited desirable psychometric properties in the context of online privacy.
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