State of the information privacy literature: where are we now and where should we go?
By Paul A. Pavlou. 2011
449 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Daniel Wentzel
- Hongxia Jin
- Alfred Kobsa
- Foster J. Provost
- Tobias Kowatsch
- Bart P. Knijnenburg
- Daizhuo Chen
- Elgar Fleisch
In Information Systems
- Alfred Kobsa
- Daniel Wentzel
- Hongxia Jin
- Foster J. Provost
- Tobias Kowatsch
- Bart P. Knijnenburg
- Elgar Fleisch
- Flavius Kehr
In Sociology and Political Science
- Daniel Wentzel
- Hongxia Jin
- Alfred Kobsa
- Foster J. Provost
- Tobias Kowatsch
- Hanbyul Choi
- Bart P. Knijnenburg
- Elgar Fleisch
Citations in the corpus
- Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals (2016, background): “…Treatments of privacy in the analytics literature often focus on the issue of confidentiality of personal characteristics.10,11 However, with the rapid increase in the amount of social media data available, statistical inference about personal characteristics is drawing attention.3,9,12…”
- Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus (2013, background): “2011, 2009), and it has become a wellestablished concept in privacy research (Li 2012; Pavlou 2011; Smith et al. 2011).”
- Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus (2015, background): “…of this research has focused on the problems that may arise after fi rms have collected information, including the reuse of personal information without the explicit consent from the consumer, or selling private data to third parties (Culnan and& Williams, 2009; Pavlou, 2011; Conger et al ., 2013).”
- Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences (2015, unknown): “A key concept associated with information disclosure in extant literature is privacy (Cheung & Lee, 2006; Lowry et al., 2012; Pavlou, 2011; Shah, Peikari, & Yasin, 2014; Smith, Dinev, & Xu, 2011; Squicciarini, Xu, & Zhang, 2011; Yao, Rice, & Wallis, 2007).”
- The role of privacy fatigue in online privacy behavior (2018, background): “Online privacy refers to how personal information is collected and used in the online context (Pavlou, 2011).”