The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services

By Heng Xu, Hock Hai Teo, Bernard C. Y. Tan, Ritu Agarwal. Journal of Management Information Systems, 2009

833 citations recorded by the source corpus.

Subfields: Information Systems and Management, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/56a6cb4b5d174fa560887cc5e3f4a0ff79cb9551

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Citations in the corpus

The privacy paradox - Investigating discrepancies between expressed privacy concerns and actual online behavior - A systematic literature review (2017, background): “However, most studies have researched privacy as a stable concept (Xu et al., 2010) or used conventional polls that are not suitable for studying online privacy (Baek, 2014).”
Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus (2015, background): “confronted with the decision to disclose personal information (Malhotra et al., 2004; Xu et al., 2009) or conduct transactions (Pavlou and Gefen 2004).”
Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus (2013, background): “…et al. 2011; Li et al. 2010; Milne and Thirty Fourth International Conference on Information Systems, Milan 2013 3 Gordon 1993; Petronio 2002; Wilson and Valacich 2012; Xu et al. 2011, 2009), and it has become a wellestablished concept in privacy research (Li 2012; Pavlou 2011; Smith et al. 2011).”
Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences (2015, methodology): “For example, Xu et al. (2009) figure out that consumers can obtain personalized product recommendations by disclosing their location information to the stores or the restaurants around their locations.”
Research Note - Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions (2013, background): “For example, Xu et al. (2009) examined the usage of location-based services and found that privacy concerns deterred individuals from disclosing their locality to the service provider, but monetary incentives made them more willing to be located by the operator .”
Information disclosure on mobile devices: Re-examining privacy calculus with actual user behavior (2013, positive): “As expected from prior privacy calculus research (Dinev and Hart, 2006; Keith et al., 2010; Xu et al., 2010), Fig.”
Information Privacy Concerns: Linking Individual Perceptions with Institutional Privacy Assurances (2011, neutral): “Studies have shown that companies that announce membership in self-regulating trade groups or associations foster consumers’ perceptions of privacy control (Culnan & Armstrong, 1999) and mitigate consumers’ perceived privacy risks in disclosing personal information (Xu et al., 2010).”
Information privacy and correlates: an empirical attempt to bridge and distinguish privacy-related concepts (2013, methodology): “Such punishments can also deter attempts to misuse stored personal information (Culnan & Bies, 2003; Xu et al , 2010).”
Privacy Concerns Versus Desire for Interpersonal Awareness in Driving the Use of Self-Disclosure Technologies: The Case of Instant Messaging in Two Cultures (2011, background): “In IS and e-commerce literature, privacy is generally defined in terms of the desire to control others’ access to and use of personal information [25, 55, 75, 125-126]; however, to be more accurate for our purposes, this usage refers only to the second aspect of privacy, namely information privacy.”