Self-interest and data protection drive the adoption and moral acceptability of big data technologies: A conjoint analysis approach

作者：

Highlights：

• Self-interest and data protection are the strongest drivers of adoption.

• Data sharing has the least relative influence on adoption.

• Data protection has the highest relative influence on moral acceptability evaluation.

• People do not exhibit a status quo bias in the adoption of big data technologies.

• People place importance on potential privacy violations, and not just self-interest.

摘要

•Self-interest and data protection are the strongest drivers of adoption.•Data sharing has the least relative influence on adoption.•Data protection has the highest relative influence on moral acceptability evaluation.•People do not exhibit a status quo bias in the adoption of big data technologies.•People place importance on potential privacy violations, and not just self-interest.

论文关键词：Moral acceptability,Big data,Conjoint analysis,Outcome favorability,Data protection,Data sharing

论文评审过程：Received 10 December 2019, Revised 31 January 2020, Accepted 10 February 2020, Available online 11 February 2020, Version of Record 18 February 2020.

论文官网地址：https://doi.org/10.1016/j.chb.2020.106303