Juxtaposing the persuasion knowledge model and privacy paradox: An experimental look at advertising personalization, public policy and public understanding
Acquisti, A., & Gross, R. (2006). Imagined communities: Awareness, information sharing, and privacy on the Facebook. In Privacy enhancing technologies (pp. 36-58). Springer Berlin Heidelberg.
Ayeh, J., Au, N., & Law, R. (2013). Do we believe in TripAdvisor? Examining credibility perceptions and online travelers’ attitude toward using user-generated content. Journal of Travel Research, 52, 537-452. https://doi.org/10.1177/0047287512475217
Baek, T., & Morimoto, M. (2012). Stay away from me: Examining the determinants of consumer avoidance of personalized advertising. Journal of Advertising. 41, 59-76. https://doi.org/10.2753/JOA0091-3367410105
Castro, D. (2011). Benefits and limitations of industry self-regulation for online behavioral advertising. The Information Technology & Innovation Foundation. Retrieved from http://www.itif.org/files/2011-self-regulation-online-behavioral-advertising.pdf
Cisco (2014). VNI Global IP Traffic Forecast, 2013–2018. Retrieved from http://www.cisco.com/c/en/us/solutions/service-provider/visual-networking-index-vni/index.html
Cleff, E. (2007). Privacy issues in mobile advertising. International Review of Law Computers and Technology, 21, 225-236. https://doi.org/10.1080/13600860701701421
Culnan, M., & Armstrong, P. (1999). Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organizational Science, 10, 104-115. https://doi.org/10.1287/orsc.10.1.104
Davis, W. (2015, October 7). Lawmakers call for stronger do-not-track standards. Mediapost Policy Blog. Retrieved from http://www.mediapost.com/publications/article/259971/lawmakers-call-for-stronger-do-not-track-standards.html
Dix, S., Bellman, S., Haddad, H., & Varan, D. (2010). Using interactive program-loyalty banners to reduce TV ad avoidance: Is it possible to give viewers a reason to stay tuned during commercial breaks? Journal of Advertising Research, 50, 154-161. https://doi.org/10.2501/S0021849910091312
Ducoffe, R. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 17, 21-35.
Dutta, S., & Bilbao-Osorio, B. (2014). The Global Information Technology Report 2014 – Rewards and risks of big data. In INSEAD and World Economic Forum, 35-93.
Eastin, M.S. (2001). Credibility assessments of online health information: the effects of source expertise and knowledge of content. Journal of Computer-Mediated Communication, 6(4). https://doi.org/10.1111/j.1083-6101.2001.tb00126.x
eMarketer. (2015). AdChoices: Do consumers know they can control the creepiness? Retrieved from http://www.emarketer.com/Article/AdChoices-Do-Consumers-Know-They-Control-Creepiness/1012623
Federal Trade Commission. (2010) Protecting consumer privacy in an era of rapid change. FTC report.
Friestad, M., & Wright, P. (1994). The persuasion knowledge model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1-31. https://doi.org/10.1086/209380
Golembiewski, R. T., & McConkie, M. (1975). The centrality of interpersonal trust in group processes. Theories of Group Processes, 131, 185.
Greengard, S. (2015). The Internet of Things. Cambridge, MA: MIT Press.
Hastak, M., & Culnan, C. (2010). Future of privacy forum online behavioral advertising “icon” study. Retrieved from https://fpf.org/final_report.pdf
Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion. New Haven, CT: Yale University Press.
IAB. (2011). Self regulatory program for online behavioral advertising factsheet. Retrieved from https://www.iab.com/wp-content/uploads/2015/06/OBA_OneSheet_Final.pdf
IBM (2013). Big data. Retrieved from http://ibm.com/big-data/us/en/
Internet Advertising Bureau (2015). Internet advertising revenue report. Retrieved from http://www.iab.net/media/file/IAB_Internet_Advertising_Revenue_Report_HY_2015_PDF.pdf
Jensen, C., Potts, C., & Jensen, C. (2005). Privacy practices of Internet users: Self report versus observed behavior. International Journal of Human-Computer Studies, 63, 203-227. https://doi.org/10.1016/j.ijhcs.2005.04.019
John, L. (2015, October 16). We say we want privacy online, but our actions say otherwise. Harvard Business Review. Retrieved from https://hbr.org/2015/10/we-say-we-want-privacy-online-but-our-actions-say-otherwise
Kachersky, L., & Kim, H. (2011). When consumers cope with price-persuasion knowledge: The role of topic knowledge. Journal of Marketing Management, 27, 28-40. https://doi.org/10.1080/02672571003647719
Karjaluoto, H., & Alatalo, T. (2007). Consumers' attitudes towards and intention to participate in mobile marketing. International Journal of Services Technology and Management, 8(2), 155-173. https://doi.org/10.1504/IJSTM.2007.012866
Kim, P., Ferrin, D., Cooper, C., & Dirks, K. (2004). Removing the shadow of suspicion: The effects of apology versus denial for repairing competence-versus integrity-based trust violations. Journal of Applied Psychology, 89, 104-118. https://doi.org/10.1037/0021-9010.89.1.104
Lafferty, B. A., Goldsmith, R. E., & Newell, S. J. (2002). The dual credibility model: The influence of corporate and endorser credibility on attitudes and purchase intentions. Journal of Marketing Theory and Practice, 10(3), 1-12. https://doi.org/10.1080/10696679.2002.11501916
LaRose, R., & Eastin, M. (2004). A social cognitive theory of Internet uses and gratifications: Toward a new model of media attendance. Journal of Broadcasting & Electronic Media, 48, 358–377. https://doi.org/10.1207/s15506878jobem4803_2
Lerman, K. (2014). Beyond the bulls-eye: Building meaningful relationships in the age of big data. Retrieved from: https://www.cspace.com/blog/building-meaningful-relationships-in-the-age-of-big-data/
Malhotra, N., Kim, S., & Agarwal, J. (2004). Internet users' information privacy concerns (IUIPC): the construct, the scale, and a causal model. Information Systems Research, 15, 336-355. https://doi.org/10.1287/isre.1040.0032
Mayer, J. & Narayana, A. (2015) Do not track, universal web tracking opt out. Retrieved from http://donottrack.us/
Mayer-Schoenberger, V. & Cukier, K. (2013). Big data. New York, NY: Houghton Mifflin Harcourt.
McCann. (2013).Truth about privacy study. Retrieved from http://truthcentral.mccann.com/truth/
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13, 334-359. https://doi.org/10.1287/isre.13.3.334.81
Mir, I. (2011). Consumer attitude towards m-advertising acceptance: A cross-sectional study. Journal Of Internet Banking & Commerce, 16(1), 1-22.
Morrison, M., & Peterson, T. (2015, September 14). Yes, there is a war on advertising. Now what? Advertising Age. Retrieved from http://adage.com/article/print-edition/a-war-advertising/300336/
Mozilla (2015). Lightbeam for FireFox. Retrieved from https://www.mozilla.org/en-US/lightbeam/
Nelson, M, Keum, H, & Yaros, R. (2004). Advertainment or adcreep: Game players’ attitudes toward advertising product placements in computer games. Journal of Interactive Advertising, 5, 3-21. https://doi.org/10.1080/15252019.2004.10722090
OECD. (2013). The 2013 OECD privacy guidelines. Retrieved from http://bit.ly/166TxHy
Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness and attractiveness. Journal of Advertising, 19, 39-52. https://doi.org/10.1080/00913367.1990.10673191
PageFair. (2015). The 2015 Ad blocking report. Retrieved from https://blog.pagefair.com/2015/ad-blocking-report/
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7, 101-134. https://doi.org/10.1080/10864415.2003.11044275
Peterson, T. (2015, September 4). IAB explores its options to fight ad blockers, including lawsuits. Advertising Age. Retrieved from http://adage.com/article/digital/iab-surveys-options-fight-ad-blockers-including-lawsuits/300228/
Pew Research Center. (2016). The state of privacy in America: What we learned. Retrieved from http://www.pewresearch.org/fact-tank/2016/01/20/the-state-of-privacy-in-america/
Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades’ evidence. Journal of Applied Psychology, 34, 243-81.
Purcell, K., Brenner, J., & Rainie, L. (2012). Search engine use 2012. Pew Internet & American Life. Retrieved from http://pewinternet.org/Reports/2012/Search-Engine-Use-2012.aspx
Richards, N. (2014). Why data privacy law is (mostly) constitutional. Intellectual Privacy. Cambridge, UK: Oxford University Press.
Rocket Fuel. (2014). Quantified self digital tools: A CPG marketing opportunity. Retrieved from http://rocketfuel.com/blog/quantified-self
Roeber, B., Rehse, O., Knorrek, R., & Thomsen, B. (2015). Personal data: How context shapes consumers’ data sharing with organizations from various sectors. Electronic Markets, 25, 95-108. https://doi.org/10.1007/s12525-015-0183-0
Schwartz, P., & Solove, D. (2011). The PII problem: Privacy and a new concept of personally identifiable information. NYU Law Review, 86, 1814.
Slefo, G. (2015, October 15). IAB to advertisers and content providers: ‘We messed up”. Advertising Age. Retrieved from http://adage.com/article/digital/iab-advertisers-content-providers-messed/300919/
Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals' concerns about organizational practices. MIS Quarterly, 20, 167-196. https://doi.org/10.2307/249477
Sunyaev, A., Dehling, T., Taylor, P., & Mandl, K. (2015). Availability and quality of mobile health app privacy policies. Journal of American Medical Information Association (JAMIA), 22, e28-e33.
Tummarello, K., (2013, September 17). Do not track effort in trouble. The Hill. Retrieved from http://thehill.com/policy/technology/322701-do-not-track-group-should-give-up-departing-online-ad-reps-say
Utz, S., & Kramer, N. (2009). The privacy paradox on social network sites revisited: The role of individual characteristics and group norms. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 3(2), article 1.
Way, H. (2014). Harnessing the power of big data: New media and advertising. Retrieved from https://www.parksassociates.com/report/advertising-big-data
Wessels, B. (2012). Identification and the practices of identity and privacy in everyday digital communication. New Media & Society, 14, 1251-1268. https://doi.org/10.1177/1461444812450679
White, T., Zarhay, D., Thorbjornsen, H. & Shavitt, S. (2008) Getting too personal: Reactance to highly personalized e-mail solicitations. Marketing Letters, 19, 39-50. https://doi.org/10.1007/s11002-007-9027-9
Zhang, J., & Wedel, M. (2009). The effectiveness of customized promotions in online and offline stores. Journal of Marketing Research, 46, 190-206. https://doi.org/10.1509/jmkr.46.2.190
1. Editorial: The state of online self-disclosure in an era of commodified privacy
Michel Walrave, Sonja Utz, Alexander Schouten, Wannes Heirman
Cyberpsychology: Journal of Psychosocial Research on Cyberspace vol: 10, issue: 1, year: 2016
2. Advertising in a Quantified World: A Proposed Model of Consumer Trust, Attitude Toward Personalized Advertising And Outcome Expectancies
Nancy H. Brinson, Matthew S. Eastin, Laura F. Bright
Journal of Current Issues & Research in Advertising vol: 40, issue: 1, first page: 54, year: 2019