CCE Theses and Dissertations
Campus Access Only
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Date of Award
2012
Document Type
Dissertation - NSU Access Only
Degree Name
Doctor of Philosophy in Computer Information Systems (DCIS)
Department
Graduate School of Computer and Information Sciences
Advisor
Steven Terrell
Committee Member
Amon Seagull
Committee Member
Michael Van Hilst
Keywords
Identity Theft, Online Risk, Online Shopping, Personal Information, Privacy Risk, Vendor Risk
Abstract
Many people have growing concerns about privacy issues, especially the treatment of personal information. Other researchers have demonstrated that consumers do not effectively use privacy policies while shopping online. Current research tends to focus on the contents of Online Privacy Policy (OPP). Often the OPP contains items to meet vendor interests rather than consumer concerns, such as how well the OPP reduces privacy risk. Moreover, various approaches interpret the contents of the OPP rather than the OPP effects on reducing privacy risk. These approaches have not made a substantial impact on consumer selection of a vendor.
The research distinguished two types of Privacy Protection Information (PPI): the level of Vendor Privacy Risk (V) added by vendor practices allowed by the OPP and the level of Online Privacy Risk (O) not reduced by the OPP. A survey presented for each vendor the two types of PPI together with a product price.
The results indicate that the respondents readily used PPI and preferred to have no Online Privacy Risk rather than no Vendor Privacy Risk. Of the six demographics attributes of the respondent, only the frequency of online shopping and the concern for privacy significantly increased the use of PPI. Recommendations were made for future research.
NSUWorks Citation
Syed Qamar Raza. 2012. Selecting Online Vendors by Privacy Risks. Doctoral dissertation. Nova Southeastern University. Retrieved from NSUWorks, Graduate School of Computer and Information Sciences. (282)
https://nsuworks.nova.edu/gscis_etd/282.