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Author ORCID Identifier
https://orcid.org/0000-0002-2715-5956
AccessType
Open Access Dissertation
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Management
Year Degree Awarded
2022
Month Degree Awarded
May
First Advisor
Traci J. Hess
Subject Categories
Business Administration, Management, and Operations | Management Information Systems | Technology and Innovation
Abstract
Online Health Communities provide a rich, context-specific scenario for the study of privacy, which promises to enhance our knowledge of this complex phenomena. Online communities are only successful to the extent that individuals join and participate in the communities, and privacy concerns are a barrier to this success. In this dissertation, the privacy calculus and the agentic perspective of social cognitive theory provide the theoretical foundation for studying privacy in online communities.
The first study represents a comprehensive literature review of online privacy in IS. Several research opportunities are found in the literature including limited empirical work on the roles of control and information sensitivity. Privacy assurances are identified as needing further exploration from an interface design perspective. Finally, the causal nature of risk and trust, are identified as experiencing tension in the extant literature.
The second study consists of an experiment manipulating control, privacy assurances and information sensitivity, and the effects on privacy concerns, risk, trust, and intention to disclose information online. The privacy calculus is introduced as the theoretical background for this study, and the research model confirms the importance of control in the literature. This chapter explores the nature of the formation of trust and risk when individuals transact online. The privacy calculus theory is adopted and expanded providing practitioner-level insights for the design of the web artifact.
The second empirical study focuses on the role of control in the privacy phenomena and incorporates a richer contextualization of control based on the agentic perspective of social cognitive theory. This factorial design experiment utilizes a survey and an online health community as context to investigate the effect of different types of control (personal, proxy and collective) on risk, trust and intention to disclose. These types of control are found to have a complementary effect on different aspects of the phenomena. A model comparison via structural equation modeling is provided to expand the understanding of the directional relationship between risk and trust.
Taken together, these dissertation chapters expand our understanding of privacy concerns in online communities and discover new applications of important constructs previously not addressed by the literature.
DOI
https://doi.org/10.7275/28566961
Recommended Citation
Lopez Arizaga, Oscar E., "PRIVACY IN ONLINE COMMUNITIES: HOW CONTROL AND ASSURANCES INFLUENCE INTENTION TO DISCLOSE PERSONAL INFORMATION" (2022). Doctoral Dissertations. 2549.
https://doi.org/10.7275/28566961
https://scholarworks.umass.edu/dissertations_2/2549
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Included in
Business Administration, Management, and Operations Commons, Management Information Systems Commons, Technology and Innovation Commons