TRUSTe: an online privacy seal program
Communications of the ACM
Communications of the ACM
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
An Empirical Examination of the Concern for Information Privacy Instrument
Information Systems Research
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 7 - Volume 7
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Information Systems Research
An Extended Privacy Calculus Model for E-Commerce Transactions
Information Systems Research
Integration in Electronic Exchange Environments
Journal of Management Information Systems
Informational privacy, consent and the "control" of personal data
Information Security Tech. Report
The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services
Journal of Management Information Systems
Privacy-friendly business models for location-based mobile
Journal of Theoretical and Applied Electronic Commerce Research
Journal of Management Information Systems
Theories in online information privacy research: A critical review and an integrated framework
Decision Support Systems
An empirical examination of user adoption of location-based services
Electronic Commerce Research
Disclosure Intention of Location-Related Information in Location-Based Social Network Services
International Journal of Electronic Commerce
Examining continuous usage of location-based services from the perspective of perceived justice
Information Systems Frontiers
International Journal of Business Information Systems
Privacy practices in collaborative environments: a study of emergency department staff
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Guide to measuring privacy concern: Review of survey and observational instruments
International Journal of Human-Computer Studies
A multi-level model of individual information privacy beliefs
Electronic Commerce Research and Applications
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Although Internet users are expected to respond in various ways to privacy threats from online companies, little attention has been paid so far to the complex nature of how users respond to these threats. This paper has two specific goals in its effort to fill this gap in the literature. The first, so that these outcomes can be systematically investigated, is to develop a taxonomy of information privacy-protective responses (IPPR). This taxonomy consists of six types of behavioral responses-refusal, misrepresentation, removal, negative word-of-mouth, complaining directly to online companies, and complaining indirectly to third-party organizations-that are classified into three categories: information provision, private action, and public action. Our second goal is to develop a nomological model with several salient antecedents-concerns for information privacy, perceived justice, and societal benefits from complaining-of IPPR, and to show how the antecedents differentially affect the six types of IPPR. The nomological model is tested with data collected from 523 Internet users. The results indicate that some discernible patterns emerge in the relationships between the antecedents and the three groups of IPPR. These patterns enable researchers to better understand why a certain type of IPPR is similar to or distinct from other types of IPPR. Such an understanding could enable researchers to analyze a variety of behavioral responses to information privacy threats in a fairly systematic manner. Overall, this paper contributes to researchers' theory-building efforts in the area of information privacy by breaking new ground for the study of individuals' responses to information privacy threats.