E-privacy in 2nd generation E-commerce: privacy preferences versus actual behavior
By Sarah Spiekermann, Jens Grossklags, Bettina Berendt. ACM Conference on Economics and Computation, 2001
621 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/a5c9991a5f37b890321c3115842456542223e17a
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
- Alessandro Acquisti
- Spyros Kokolakis
- Lorrie Faith Cranor
- Oliver Günther
- Sarah Spiekermann
- John Chung-I Chuang
- France Bélanger
- Robert E. Crossler
In Information Systems and Management
- Alessandro Acquisti
- Martijn C. Willemsen
- Bart P. Knijnenburg
- Tamara Dinev
- France Bélanger
- Robert E. Crossler
- Li Chen
- Spyros Kokolakis
In Sociology and Political Science
- Alessandro Acquisti
- Lorrie Faith Cranor
- Spyros Kokolakis
- Florian Schaub
- Tamara Dinev
- Laura Brandimarte
- Bart P. Knijnenburg
- Robert E. Crossler
Citations in the corpus
- Social Networks, Personalized Advertising, and Privacy Controls (2013, background): “This remains the case even if the control is merely perceptual or over tangential information, and access to the focal data remains unchanged (Spiekermann et al., 2001; Xu, 2007; Brandimarte et al., 2012; Xu et al., 2012).”
- Internet Privacy Concerns and Social Awareness as Determinants of Intention to Transact (2005, background): “Based on this observation, Spiekermann, Grossklags, and Berendt argued that privacy technologies need to enable even moderately computer-literate on-line users to protect themselves by allowing only a degree of disclosure they are comfortable with [62].”
- Secrets and Likes: The Drive for Privacy and the Difficulty of Achieving It in the Digital Age (2020, background): “…version of the dichotomy: a gap between generic attitudes (typically expressing an overall desire for or concern over privacy) and actual behaviors (often interpreted as privacy-neglecting), such as social media sharing (Barnes, 2006) or disclosure choices in experiments (Spiekermann et al., 2001).”
- Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities (2016, background): “Moreover, privacy concerns reduce once users are highly involved in the system (Spiekermann et al., 2001).”
- Privacy, Trust, and Self-Disclosure Online (2010, background): “…intended disclosure rather than actual behavior (e.g. Chellappa & Sin, 2005, Malhotra, Kim, & Agarwal, 2004), although when actual behavior is measured, the same pattern of results often emerges (e.g., Metzger, 2006; Spiekermann et al., 2001, but see also Gideon et al., 2006, for contrary results).”
- Privacy in the Digital Age: A Review of Information Privacy Research in Information Systems (2011, background): “S. samples do appear in conference proceedings, with countries such as Dubai, France, New Zealand, South Africa, and Germany represented (Agarwal and Rodhain 2002; Akhter 2007; Cullen and Reilly 2008; Hart 2008; Spiekermann et al. 2001).”
- Privacy attitudes and privacy behaviour: A review of current research on the privacy paradox phenomenon (2017, background): “In the same year, Spiekermann et al. (2001) presented the results of a study aiming to reveal the relation between privacy preferences and actual behaviour in the context of e-commerce.”
- The Economics of Privacy (2016, background): “For instance, Spiekerman et al., 2001 showed how even privacy privacy-conscious subjects in an experiment were generally willing to provide personal data for small discounts (see also Norberg et al., 2007).”
- The Economics of Personal Data and the Economics of Privacy (2010, background): “First of all, self-reported attitudes and intentions of behavior may not necessarily match actual consumers’ privacy decisions (see, e.g., Spiekermann et al. (2001)).”
- What Can Behavioral Economics Teach Us about Privacy (2008, background): “Similarly, Spiekermann et al individuals’ behavior in an interactive online shopping episode was not significantly affected as the privacy statement of the website was modified substantially [22].”
- Explaining the user experience of recommender systems (2012, background): “On the other hand, if it positively influences their user experience (i.e. in terms of better recommendations), users may be more willing to provide feedback (Spiekermann et al. 2001; Brodie et al. 2004; Kobsa and Teltzrow 2005).”
- Nudges for Privacy and Security (2017, background): “In an e-commerce experiment, immediate benefits of disclosure (e.g., product recommendation and discounts) were suggested as the probable cause that led privacy-concerned participants to provide the same amount of personal details as less concerned participants [Spiekermann et al. 2001].”
- A conceptual model of trust in the online environment (2007, background): “Information will only transfer to web sites whose policies meet the end-users' requirements ( Spiekermann et al. , 2001”
- Secure or insure?: a game-theoretic analysis of information security games (2008, background): “When asked in surveys, network users say they are interested in preventing attacks and mitigating the damages from computer and information security breaches [1] [40].”
- Overcoming Online Information Privacy Concerns: An Information-Processing Theory Approach (2007, background): “[58] show that in order to reduce product complexity, many participants, even some privacy fundamentalists, willingly share private information with a Web site.”