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A Self Reflection on Privacy
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2011 (English)Other (Other academic)
Abstract [en]

Privacy is very subjective and has been interpreted in a number of ways. Additionally, there are several paradoxes in the field. For example, a number of researches have shown a substantial gap between privacy attitude and related behaviors. These kinds of paradoxes hinder the progress of the field. One way of addressing these issues is studying privacy attitudes and underlying rationality behind these attitudes of individuals. This study presents this researcher’s frame of reference on privacy, with a special emphasis on information privacy. This paper explains privacy in religious, social, and legal contexts, reasons for privacy invasive behaviors, privacy protection means, and reasons for demanding privacy. The aim of this paper is to take a step in building a common understanding, which is essential in developing a global data protection regime. At the end, elaborating some real–world examples, this paper discusses the importance of information privacy for information system researchers. Furthermore, this paper invites the readership to compare and contrast their own views on privacy. 

Place, publisher, year, pages
Social Science Research Network (SSRN) , 2011.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:su:diva-89903OAI: oai:DiVA.org:su-89903DiVA: diva2:621436
Note

Paper in Social Science Research Network (SSRN)

Available from: 2013-05-14 Created: 2013-05-14 Last updated: 2013-05-15Bibliographically approved
In thesis
1. Discovering Constructs and Dimensions for Information Privacy Metrics
Open this publication in new window or tab >>Discovering Constructs and Dimensions for Information Privacy Metrics
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Privacy is a fundamental human right. During the last decades, in the information age, information privacy has become one of the most essential aspects of privacy. Information privacy is concerned with protecting personal information pertaining to individuals.

Organizations, which frequently process the personal information, and individuals, who are the subjects of the information, have different needs, rights and obligations. Organizations need to utilize personal information as a basis to develop tailored services and products to their customers in order to gain advantage over their competitors. Individuals need assurance from the organizations that their personal information is not changed, disclosed, deleted or misused in any other way. Without this guarantee from the organizations, individuals will be more unwilling to share their personal information.

Information privacy metrics is a set of parameters used for the quantitative assessment and benchmark of an organization’s measures to protect personal information. These metrics can be used by organizations to demonstrate, and by individuals to evaluate, the type and level of protection given to personal information. Currently, there are no systematically developed, established or widely used information privacy metrics. Hence, the purpose of this study is to establish a solid foundation for building information privacy metrics by discovering some of the most critical constructs and dimensions of these metrics. 

The research was conducted within the general research strategy of design science and by applying research methods such as data collection and analysis informed by grounded theory as well as surveys using interviews and questionnaires in Sweden and in Sri Lanka. The result is a conceptual model for information privacy metrics including its basic foundation; the constructs and dimensions of the metrics. 

Place, publisher, year, edition, pages
Kista: Department of Computer and Systems Sciences, tockholm Univeristy, 2013. 169 p.
Series
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 13-003
Keyword
Information privacy, Privacy metrics, Data protection, Personal information
National Category
Computer and Information Science
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-89336 (URN)978-91-7447-637-8 (ISBN)
Public defence
2013-06-10, sal C, Forum 100, Isafjordsgatan 39, Kista, 13:00 (English)
Opponent
Supervisors
Funder
Sida - Swedish International Development Cooperation Agency
Note

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 6: Accepted.

Available from: 2013-05-16 Created: 2013-04-22 Last updated: 2013-05-15Bibliographically approved

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