Pricing and disseminating customer data with privacy awareness.
Organizations today regularly share their customer data with their partners to gain competitive advantages. They are also often requested or even required by a third party to provide customer data that are deemed sensitive. In these circumstances, organizations are obligated to protect the privacy of the individuals involved while still benefiting from sharing data or meeting the requirement for releasing data. In this study, we analyze the tradeoff between privacy and data utility from the perspective of the data owner. We develop an incentive-compatible mechanism for the data owner to price and disseminate private data. With this mechanism, a data user is motivated to reveal his true purpose of data usage and acquire the data that suits to that purpose. Existing economic studies of information privacy primarily consider the interplay between the data owner and the individuals, focusing on problems that occur in thecollectionof private data. This study, however, examines the privacy issue facing a data owner organization in thedistributionof private data to a third party data user when the real purpose of data usage is unclear and the released data could be misused.
Department of Operations & Information Systems, University of Massachusetts Lowell, United States.
Xiao-Bai
XB
Li
School of Management, University of Texas at Dallas, United States.
Srinivasan
S
Raghunathan
Data analytics; Data mining; Incentive compatibility; Pricing; Privacy