Abusive Supervision and Turnover Intentions: A Mediation-Moderation Perspective

Abusive supervision and links to nurse intentions to quit.

PURPOSE To investigate forms of abusive supervision, namely personal attacks, task attacks, and isolation, and their links to outcomes for nurses, including job satisfaction, psychological strain, and intentions to quit. DESIGN Cross-sectional survey design. Data collected from July to November 2012. METHODS Two hundred and fifty public sector nurses employed at five general acute Australia...

Abusive Supervision and Links to Nurse Intentions to Quit

Purpose: To investigate forms of abusive supervision, namely personal attacks, task attacks and isolation, and their links to outcomes for nurses, including job satisfaction, psychological strain and intentions to quit. Design: Cross-sectional survey design. Data collected from July to November 2012. Methods: Two hundred and fifty public sector nurses employed at five general acute Australian h...

Trickle-Down Abusive Supervision 1 Running Head: TRICKLE-DOWN MODEL OF ABUSIVE SUPERVISION A Trickle-Down Model of Abusive Supervision

Much of the abusive supervision research has focused on the supervisor-subordinate dyad when examining the effects of abusive supervision on employee outcomes. Using data from a large multi-source field study, we extend this research by testing a trickle-down model of abusive supervision across three hierarchical levels (i.e., managers, supervisors, and employees). Drawing on social learning th...

Mediation and Moderation

Deeper Attention to Abusive User Content Moderation

Experimenting with a new dataset of 1.6M user comments from a news portal and an existing dataset of 115K Wikipedia talk page comments, we show that an RNN operating on word embeddings outpeforms the previous state of the art in moderation, which used logistic regression or an MLP classifier with character or word n-grams. We also compare against a CNN operating on word embeddings, and a word-l...