Journal ArticleDOI
Internet privacy concerns: an integrated conceptualization and four empirical studies
Weiyin Hong,James Y.L. Thong +1 more
Reads0
Chats0
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.read more
Citations
More filters
Book ChapterDOI
Consumer Acceptance and Resistance Factors Toward Smart Retail Stores
TL;DR: The role of consumer well-being, social image, utility value, human value, privacy concerns, technology trust, health concerns, and different personality traits toward smart retail stores are discussed in this article.
Journal ArticleDOI
Comparing factors affecting self-disclosure behavior between German and South Korean SNS users
TL;DR: In this article , a comparative study of the influencing factors toward voluntarily sharing personal information on SNSs are identified and analyzed, and a theoretically driven research model is developed and tested with German and South Korean participants.
Book ChapterDOI
Intergenerational Approaches to Disinformation and Clickbait: Participatory Workshops as Co-learning-Based Spaces
Book ChapterDOI
Breaking the Monopoly of Facebook? Toward the Building Blocks of a Unified Model: Review
Journal ArticleDOI
Examining Mobile SNS Continuance from a Dual Perspective of Social Capital and Privacy Concern
TL;DR: It is argued that due to the intense competition, it is crucial for mobile social networking services (SNS) providers to retain users and facilitate their continuance and service providers need to develop social capital and curb privacy concerns to facilitate users' continuance usage of mobile SNS.
References
More filters
Book
Lisrel 8: Structural Equation Modeling With the Simplis Command Language
Karl G. Jöreskog,Dag Sörbom +1 more
TL;DR: The SIMPLIS language shifts the focus away from the technical question "How to do it", so that researchers can concentrate on the question, "What does it all mean?"
Journal ArticleDOI
Accounting for common method variance in cross-sectional research designs.
TL;DR: A model is presented that allows partial correlation analysis to adjust the observed correlations for CMV contamination and determine if conclusions about the statistical and practical significance of a predictor have been influenced by the presence of CMV.
Book
Structural Equation Modeling With Lisrel, Prelis, and Simplis: Basic Concepts, Applications, and Programming
TL;DR: This paper presents a meta-modelling framework for testing the factorial Validity of a Theoretical Construct and the Invariant Factorial Structure of a theoretical construct using LISREL, PRELIS, and SIMPLIS through Windows.
Journal ArticleDOI
Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups.
Herbert W. Marsh,Dennis Hocevar +1 more
Journal ArticleDOI
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.
Related Papers (5)
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Information privacy: measuring individuals' concerns about organizational practices
H. Jeff Smith,Sandra J. Milberg +1 more