Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Comparing and Matching Privacy Policies Using Community Consensus

Comparing and Matching Privacy Policies Using Community Consensus
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Author(s): George Yee (National Research Council Canada, Canada) and Larry Korba (National Research Council Canada, Canada)
Copyright: 2005
Pages: 4
Source title: Managing Modern Organizations Through Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-822-2.ch051
ISBN13: 9781616921293
EISBN13: 9781466665354


The growth of the Internet is increasing the deployment of e-services in such areas as e-commerce, e-learning, and e-health. In parallel, service providers and consumers are realizing the need for privacy. Managing privacy using privacy policies is a promising approach. In this approach, an e-service consumer and an e-service provider each have separate privacy policies. Before an e-service is engaged, the consumer’s policy must “match” the provider’s policy. However, how is this matching defined? We propose a method for comparing consumer and provider privacy policies by comparing the privacy levels of privacy preferences in the policies. A “match” between consumer and provider privacy policies is then defined using this method. Since the notion of privacy is subjective and can vary from individual to individual, the privacy levels of individual preferences are obtained through community consensus.

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