Applying artificial intelligence technique to predict knowledge hiding behavior

作者：

Highlights：

• This study explores the predictors of knowledge hiding using psychological ownership and social exchange theories.

• Artificial intelligence technique shows that distributive, procedural, and interactional (in)justice are important predictors.

• The nature of the relationship was asymmetry (non-linear).

摘要

•This study explores the predictors of knowledge hiding using psychological ownership and social exchange theories.•Artificial intelligence technique shows that distributive, procedural, and interactional (in)justice are important predictors.•The nature of the relationship was asymmetry (non-linear).

论文关键词：Knowledge hiding behavior,Service employees,Artificial intelligence,Organizational injustice

论文评审过程：Received 24 October 2018, Revised 23 February 2019, Accepted 23 February 2019, Available online 22 March 2019, Version of Record 22 March 2019.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.02.006