考虑隐私的个人数据估值

Valuing Personal Data with Privacy Consideration

DECISION SCIENCES · 2020
被引 29
人大 AABS 3

中文导读

提出用实验拍卖法(广义第二价格拍卖)衡量个人身份、人口统计和隐私信息的经济价值,发现经济估值与实际自我披露行为一致,但与主观隐私偏好不一致。

Abstract

A key challenge in information privacy research is how to value personal data with privacy consideration. In this study, we propose an experimental auction approach for valuing personal data. We use the generalized second-price auction to assess the monetary values of individuals' identity, demographic, and private information. We find that individuals' economic valuation of personal data is consistent with their actual self-disclosure behaviors. The economic valuation approach also produces results that are consistent with some well-accepted observations about consumer demographics and privacy. On the other hand, individuals' stated privacy preferences and attitudes are not consistent with their economic valuation. The findings of this study suggest that the proposed approach can be an effective mechanism for measuring personal data privacy. This study also provides important insights into valuing personal information for practical uses with several implications to policy decision makers, corporate executives and managers, data analysts, as well as decision science researchers.

信息隐私个人数据估值实验拍卖消费者行为隐私偏好