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Carnegie Mellon University
Research Showcase @ CMU
Heinz College Research Heinz College
9-1-2007
Gaining Trust Through Online Privacy Protection:
Self-Regulation, Mandatory Standards, or Caveat
Emptor
Zhulei Tang
Purdue University
Yu Jeffrey Hu
Purdue University
Michael D. Smith
Carneg ie Mellon University, mds@
Follow this and additional works at : /heinzworks
Published In
J ournal of Management Information Systems, 24, 4, 153-173.
This Article is brought to you for ree and open access by the Heinz College at Research Showcase @ CMU. It has been accepted for inclusion in Heinz
College Research by an authorized administrator of Research Showcase @ CMU. For more information, please contact research-
showcase@.
Gaining Trust Through Online Privacy Protection:
Self-Regulation, Mandatory Standards, or Caveat Emptor
Zhulei Tang*, Yu (Jeffrey) Hu**, Michael D. Smith***
Forthcoming in Journal of Management Information Systems
ABSTRACT
Trust is particularly important in online markets to facilitate the transfer of sensitive consumer
information to online retailers. In electronic markets, various proposals have been made to
facilitate these information transfers. We develop analytic models of hidden information to
analyze the effectiveness of these regimes to build trust and their efficiency in terms of social
welfare.
We find that firms’ ability to influence consumer beliefs about trust depends on whether firms
can send unambiguous signals to consumers regarding their intention of protecting privacy.
Ambiguous signals can lead to a breakdown of consumer trust, while the clarity and credibility
of the signal under industry self-regulation can lead to enhanced trust and improved social
welfare. Our results also indicate t
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