The role of positive and negative valence factors on the impact of bigness of data on big data analytics usage

作者：

Highlights：

• The role of valence factors in big data analytics usage is empirically examined.

• Bigness of data impacts both negative valence and positive valence factors.

• Data security concern is not a critical factor in using big data analytics.

• Interaction of valence factors and bigness of data on data analytics use is probed.

摘要

•The role of valence factors in big data analytics usage is empirically examined.•Bigness of data impacts both negative valence and positive valence factors.•Data security concern is not a critical factor in using big data analytics.•Interaction of valence factors and bigness of data on data analytics use is probed.

论文关键词：Big data analytics use,Bigness of data,Data security concern,Task complexity,Data accessibility,Data diagnosticity

论文评审过程：Received 15 March 2018, Accepted 22 December 2018, Available online 28 December 2018, Version of Record 21 November 2019.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2018.12.011