Living in a big data world: Predicting mobile commerce activity through privacy concerns

作者：

Highlights：

• Data gleaned from personal mobile devices has become a central focus.

• CPM theory: personal information shared via CMC protected by privacy boundaries.

• Privacy concerns predict mobile commerce attitudes and engagement.

• Concerns: collection, control, awareness, trust, unauthorized use, location tracking.

• Results: control, unauthorized use, trust significantly predict 43% of variance.

摘要

•Data gleaned from personal mobile devices has become a central focus.•CPM theory: personal information shared via CMC protected by privacy boundaries.•Privacy concerns predict mobile commerce attitudes and engagement.•Concerns: collection, control, awareness, trust, unauthorized use, location tracking.•Results: control, unauthorized use, trust significantly predict 43% of variance.

论文关键词：Big data,Mobile commerce,Information privacy,Communication privacy management,Personalized advertising,Location tracking

论文评审过程：Received 29 August 2015, Revised 11 December 2015, Accepted 18 December 2015, Available online 14 January 2016, Version of Record 14 January 2016.

论文官网地址：https://doi.org/10.1016/j.chb.2015.12.050