Anna Rohunen, Jouni Markkula, Marikka Heikkilä & Markku Oivo (2020) Explaining Diversity and Conflicts in Privacy Behavior Models, Journal of Computer Information Systems, 60:4, 378-393, DOI: 10.1080/08874417.2018.1496804
Explaining diversity and conflicts in privacy behavior models
|Author:||Rohunen, Anna1; Markkula, Jouni1; Heikkilä, Marikka2;|
1University of Oulu, Oulu, Finland
2University of Turku, Turku, Finland
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018082834201
|Publish Date:|| 2019-08-01
Technological development and increasing personal data collection and utilization raise the importance of understanding individuals’ privacy behavior. Privacy behavior denotes the willingness to disclose personal data for services utilizing these data. The literature presents various privacy behavior models (PBMs). However, the research is incoherent, with inconsistencies among models. Therefore, the application and subsequent development of PBMs are challenging. Different background theories are used for model construction, and studies have been conducted in distinct application domains. We studied whether the models’ inconsistencies could be explained by these differences. Our in-depth analysis of PBMs was based on a systematic literature review of the most often cited key studies. Our findings indicate that the choice of theories and the application domains do not explain inconsistencies; instead, the models are often of an ad hoc type and constructed in an eclectic way. These results imply the need for more consistent research on privacy behavior.
Journal of computer information systems
|Pages:||378 - 393|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
This work was supported by the Riitta ja Jorma J. Takanen Foundation, Tauno Tönning Research Foundation, and Jenny and Antti Wihuri Foundation.
© 2018 International Association for Computer Information Systems. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Computer Information Systems on 1 Aug 2018, available online: http://www.tandfonline.com/10.1080/08874417.2018.1496804.