Factors influencing willingness to provide personal information for personalized recommendations
作者：
Highlights：
• Recommendation systems reduce information overload and also raise privacy concerns.
• Dual calculus model which incorporates two interrelated trade-offs was used.
• Five distinct types of information emerged from the exploratory factor analysis.
• There were different impacts on disclosure intentions for each type of information.
• Discussion on personal information is expanded and practical implications are given.
摘要
•Recommendation systems reduce information overload and also raise privacy concerns.•Dual calculus model which incorporates two interrelated trade-offs was used.•Five distinct types of information emerged from the exploratory factor analysis.•There were different impacts on disclosure intentions for each type of information.•Discussion on personal information is expanded and practical implications are given.
论文关键词：Recommendation systems,Dual calculus model,Privacy calculus,Risk calculus,Online video services
论文评审过程：Received 22 December 2017, Revised 14 June 2018, Accepted 24 June 2018, Available online 26 June 2018, Version of Record 5 July 2018.
论文官网地址：https://doi.org/10.1016/j.chb.2018.06.031
