Applied multivariate statistical analysis
Applied multivariate statistical analysis
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Consumer privacy concerns about Internet marketing
Communications of the ACM
On risk, convenience, and Internet shopping behavior
Communications of the ACM
ACM Transactions on Internet Technology (TOIT)
Privacy through pseudonymity in user-adaptive systems
ACM Transactions on Internet Technology (TOIT)
An Empirical Examination of the Concern for Information Privacy Instrument
Information Systems Research
Privacy in electronic commerce and the economics of immediate gratification
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
'I didn't buy it for myself' privacy and ecommerce personalization
Proceedings of the 2003 ACM workshop on Privacy in the electronic society
Privacy-enhancing technologies for the internet, II: five years later
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
Privacy-enhanced personalization
CHI '06 Extended Abstracts on Human Factors in Computing Systems
A business privacy model for virtual communities
International Journal of Web Based Communities
How much do you tell?: information disclosure behaviour indifferent types of online communities
Proceedings of the fourth international conference on Communities and technologies
Consumer privacy expectations in a virtual environment: a framework for corporate risk assessment
International Journal of Networking and Virtual Organisations
International Journal of Networking and Virtual Organisations
Personality traits, usage patterns and information disclosure in online communities
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
An index-based privacy preserving service trigger in context-aware computing environments
Expert Systems with Applications: An International Journal
Privacy-enhanced web personalization
The adaptive web
A dynamic privacy model for web services
Computer Standards & Interfaces
Social networks: the role of users' privacy concerns
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Making Decisions about Privacy: Information Disclosure in Context-Aware Recommender Systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
A Longitudinal Investigation on Greek University Students' Perceptions Towards Online Shopping
Journal of Electronic Commerce in Organizations
Computers in Human Behavior
| Hi-index | 0.00 |
To increase their revenue from electronic commerce, more and more Internet businesses are soliciting personal information from consumers in order to target products and services at the right consumers. But when deciding whether to disclose their personal information to Internet businesses, consumers may weigh the concerns of giving up information privacy against the benefits of information disclosure. This article examines how Internet businesses can motivate consumers to disclose their personal information. Based on a synthesis of the literature, the article identifies seven types of extrinsic or intrinsic benefits that Internet businesses can provide when soliciting personal information from consumers. Through comprehensive conceptual and empirical validation processes, the article develops an instrument that allows Internet businesses to gauge the preference of consumers for the various types of benefits. By testing a set of nomological networks, some ideas are presented to Internet businesses about what types of benefits may be more effective given the personality traits of particular consumer populations. Besides providing a foundation for efforts aimed at developing theories on information, privacy and information disclosure, the results of this research provide useful suggestions to Internet businesses on how best to solicit personal information from consumers. Implications for research and practical application are discussed.