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Privacy-Friendly Business Models for Location-Based Mobile Services
Type of publication: Article
Citation: Liu:2011:PBM:2034606.2034615
Journal: Journal of Theoretical and Applied Electronic Commerce Research
Volume: 6
Number: 2
Year: 2011
Month: August
Pages: 90--107
Publisher: Facultad de Ingeniería, Universidad de Talca
Address: Talca, Chile
ISSN: 0718-1876
URL: http://www.scielo.cl/scielo.ph...
DOI: 10.4067/s0718-18762011000200009
Abstract: This paper presents a theoretical model to analyze the privacy issues involved in business models for location-based mobile services. We report the results of an exploratory field experiment in Switzerland that assessed the factors driving the net payoff to users of mobile businesses. We found that (1) the personal data disclosed by users has a negative effect on user payoff; (2) the amount of personalization available has a direct and positive effect, as well as a moderating effect, on user payoff; and (3) the amount of control over a user's personal data has a direct and positive effect, as well as a moderating effect, on user payoff. The results suggest that privacy protection could be the main value proposition in the B2C mobile market. From our theoretical model, we derive a set of guidelines to design a privacy-friendly business model pattern for thirdparty services. We discuss four examples to show how the mobile platform can play a key role in the implementation of these new business models.
Userfields: issue_date={August 2011}, numpages={18}, acmid={2034615},
Keywords: business model, control over user personal data, design science, Information Systems, location based services, personal data disclosed, personalization available, Privacy, user's payoff
Authors Liu, Zhan
Bonazzi, Riccardo
Fritscher, Boris
Pigneur, Yves
Added by: []
Total mark: 0
Attachments
  • Liu et al.(2011).pdf
Notes
  • []: IF 2015 = 1.59 / SJR 2015 = 0.492
Topics