{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T00:52:46Z","timestamp":1761094366751,"version":"build-2065373602"},"reference-count":13,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T00:00:00Z","timestamp":1508803200000},"content-version":"vor","delay-in-days":296,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["asistdl.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proc. Assoc. Info. Sci. Tech."],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>While individuals are keen to take advantage of the rewards (e.g., discounts) associated with using location\u2010based apps on smartphones, they also express concern over location information being disclosed. This imbalance between expressed attitudes and demonstrated behavior has been termed the \u201cprivacy paradox.\u201d Current literature examines this phenomenon based on users' interactions with e\u2010commerce systems; however, given the sensitive nature of location information generated from smartphones, gaining an understanding of this phenomenon as it is demonstrated in daily smartphone usage is important. Based on information gathered from qualitative interviews, we find that evaluation of benefits associated with disclosure do not play as strong a role in motivating disclosure as has previously been suggested. Instead we find that using a behavior\u2010based approach rather than an investigation of attitudes governing disclosure provides newer insights and a more granular understanding of the privacy paradox. This nuanced understanding can be used to design apps more suited to user privacy needs as well as have implications for further research concerning this phenomenon.<\/jats:p>","DOI":"10.1002\/pra2.2017.14505401114","type":"journal-article","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T03:35:36Z","timestamp":1508816136000},"page":"679-681","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Using cognitive dissonance theory to understand privacy behavior"],"prefix":"10.1002","volume":"54","author":[{"given":"Isha","family":"Ghosh","sequence":"first","affiliation":[{"name":"Rutgers University  USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vivek","family":"Singh","sequence":"additional","affiliation":[{"name":"Rutgers University  USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"key":"e_1_2_4_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/11957454_3"},{"key":"e_1_2_4_3_1","first-page":"24","article-title":"Privacy and rationality in individual decision making","volume":"2","author":"Acquisti A","year":"2005","journal-title":"IEEE Security & Privacy"},{"key":"e_1_2_4_4_1","doi-asserted-by":"publisher","DOI":"10.5210\/fm.v11i9.1394"},{"key":"e_1_2_4_5_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0041006"},{"key":"e_1_2_4_6_1","unstructured":"Festinger J. J.(1957).Cognitive dissonance theory."},{"key":"e_1_2_4_7_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0041593"},{"key":"e_1_2_4_8_1","doi-asserted-by":"crossref","unstructured":"Freudiger J. Shokri R. &Hubaux J. P.(2011 February). Evaluating the privacy risk of location\u2010based services. InInternational conference on financial cryptography and data security(pp.31\u201346).","DOI":"10.1007\/978-3-642-27576-0_3"},{"key":"e_1_2_4_9_1","unstructured":"Keith M.J. Babb J.S. Furner C.P. Abdulla A. 2010.Privacy assurance and network effects in the adoption of location\u2010based services: An iphone experiment. InProceedings of the international conference on information systems(ICIS'10) St. Louis MO pp. 237."},{"key":"e_1_2_4_10_1","unstructured":"Madden M. (2014) Public perceptions of privacy and security in the post\u2010Snowden era.Pew Research Center.http:\/\/www.pewinternet.org\/2014\/11\/12\/public-privacy-perceptions\/"},{"key":"e_1_2_4_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1745-6606.2006.00070.x"},{"key":"e_1_2_4_12_1","unstructured":"Smith A. (2017). Record shares of Americans now own smartphones have home broadband.Pew Research Center.http:\/\/www.pewresearch.org\/fact-tank\/2017\/01\/12\/evolution-of-technology\/"},{"key":"e_1_2_4_13_1","doi-asserted-by":"crossref","unstructured":"Spiekermann S. Grossklags J.andBerendt B.E\u2010privacy in 2nd generation e\u2010commerce: Privacy preferences versus actual behavior. 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