A theoretical assessment of dismissal rates and unit performance, with empirical evidence.

Clicks: 401
ID: 55048
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #13 of 210 articles by views in the journal of applied psychology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 210 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Unit-level dismissal rates have rarely been studied, but utility analysis suggests that increasing dismissal rates can improve performance by increasing the contribution of a unit's workers. This proposition comports with other theory around dismissals but contradicts substantial empirical evidence. We extend the staffing utility framework, taking a multilevel perspective and attending to both within- and between-unit effects of dismissal rate practices. We test our theory in monthly observations from 1,047 retail locations over almost 3 years. Our results explain how between-unit associations between workforce contribution and unit performance can mask the within-unit benefit of increasing dismissal rates. This insight reconciles theory with prior evidence, although some researchers have interpreted them to be at odds. A better understanding of the complex causes and consequences of dismissal rates has the potential to open new avenues of research and inform practice in ways that promote unit effectiveness. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Reference Key
maltarich2019athe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Maltarich, Mark A;Reilly, Greg;DeRose, Chris;
Journal the journal of applied psychology
Year 2019
DOI
10.1037/apl0000448
URL
Keywords
optimization turning environmentally friendly nano-cutting fluids nickel-based alloys

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.