Privacy-Enhancing Technologies and Metrics in Personalized Information Systems

Author(s):  
Javier Parra-Arnau ◽  
David Rebollo-Monedero ◽  
Jordi Forné
2011 ◽  
Vol 25 (2) ◽  
pp. 11-45 ◽  
Author(s):  
J. Efrim Boritz ◽  
Won Gyun No

ABSTRACT Electronic commerce (e-commerce) has a built-in trade-off between the necessity of providing at least some personal information to consummate an online transaction and the risk of negative consequences from providing such information. This requirement and the increased sophistication of companies' personal information gathering have made e-commerce privacy a critical issue and have spawned a broad research literature that is reviewed in this paper. Key research issues and findings are organized, using a framework defined by four key stakeholder groups—companies, customers, privacy solution providers (PSPs), and governments—as well as the interactions among them. The review indicates that the published research on e-commerce privacy peaked in the early 2000s; thus, it has not addressed many of the technological advances and other relevant developments of the past decade. Potential research opportunities for researchers in Management Information Systems (MIS) and Accounting Information Systems (AIS) include: company privacy strategies, operations, disclosures, and compliance practices; customer privacy concerns arising from company practices such as Internet activity tracking, physical location tracking, personal information gathering by social networks, and information exchanges in cloud computing environments; privacy-enhancing technologies, controls, and assurance practices developed by PSPs; and privacy regulations relating to various industries, countries, and cultures. More use of experimental and archival research is encouraged.


1984 ◽  
Vol 1 (1) ◽  
pp. 175-185
Author(s):  
Michael E. D. Koenig

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.


1993 ◽  
Vol 38 (10) ◽  
pp. 1094-1095
Author(s):  
Scott P. Robertson
Keyword(s):  

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