Knowledge discovery in databases: an overview
AI Magazine
Building consumer trust online
Communications of the ACM
Personalized hypermedia and international privacy
Communications of the ACM - The Adaptive Web
Emerging trends in business analytics
Communications of the ACM - Evolving data mining into solutions for insights
Applications of Data Mining to Electronic Commerce
Data Mining and Knowledge Discovery
User Modeling and User-Adapted Interaction
Web mining for web personalization
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
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
The Role of the Management Sciences in Research on Personalization
Management Science
Impacts of user privacy preferences on personalized systems: a comparative study
Designing personalized user experiences in eCommerce
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Information Systems Research
The predictive power of online chatter
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A major impediment to B2C success is...the concept 'B2C'
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
An Extended Privacy Calculus Model for E-Commerce Transactions
Information Systems Research
What Anyone Can Know: The Privacy Risks of Social Networking Sites
IEEE Security and Privacy
Investigating Privacy Attitudes and Behavior in Relation to Personalization
Social Science Computer Review
Data mining research for customer relationship management systems: a framework and analysis
International Journal of Business Information Systems
Identity Theft: Much Too Easy? A Study of Online Systems in Norway
Financial Cryptography and Data Security
Web Personalization: Is It Effective?
IT Professional
A multidimensional framework of web browsers' trust and distrust of banner advertisements
International Journal of Business Information Systems
On the leakage of personally identifiable information via online social networks
ACM SIGCOMM Computer Communication Review
Privacy-enhanced web personalization
The adaptive web
Application of data mining techniques for customer lifetime value parameters: a review
International Journal of Business Information Systems
Information Systems Frontiers
Fuzzy based clustering algorithm for privacy preserving data mining
International Journal of Business Information Systems
IT enabled mass customisation as a tool for bond building – an Indian case study
International Journal of Business Information Systems
The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study
Information Systems Research
Pulse: mining customer opinions from free text
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
An empirical analysis of consumers' protection toward e-commerce transactions in Malaysia
International Journal of Business Information Systems
Decentralised privacy preservation in social networks
International Journal of Business Information Systems
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The popular success of online social networking sites SNS such as Facebook is a hugely tempting resource of data mining for businesses engaged in personalised marketing. The use of personal information, willingly shared between online friends' networks intuitively appears to be a natural extension of current advertising strategies such as word-of-mouth and viral marketing. However, the use of SNS data for personalised marketing has provoked outrage amongst SNS users and radically highlighted the issue of privacy concern. This paper inverts the traditional approach to personalisation by conceptualising the limits of data mining in social networks using privacy concern as the guide. A qualitative investigation of 95 blogs containing 568 comments was collected during the failed launch of Beacon, a third party marketing initiative by Facebook. Thematic analysis resulted in the development of taxonomy of privacy concerns which offers a concrete means for online businesses to better understand SNS business landscape - especially with regard to the limits of the use and acceptance of personalised marketing in social networks.