Accessibility navigation


Peer norm guesses and self-reported attitudes towards performance-related pay

Downloads

Downloads per month over past year

Georgantzis, N., Vasileiou, E. and Kotzaivazoglou, I. (2017) Peer norm guesses and self-reported attitudes towards performance-related pay. PLoS ONE, 12 (4). e0174724. ISSN 1932-6203

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

1213Kb

To link to this item DOI: 10.1371/journal.pone.0174724

Abstract/Summary

Due to a variety of reasons, people see themselves differently from how they see others. This basic asymmetry has broad consequences. It leads people to judge themselves and their own behavior differently from how they judge others and others’ behavior. This research, first, studies the perceptions and attitudes of Greek Public Sector employees towards the introduction of Performance-Related Pay (PRP) systems trying to reveal whether there is a divergence between individual attitudes and guesses on peers’ attitudes. Secondly, it is investigated whether divergence between own self-reported and peer norm guesses could mediate the acceptance of the aforementioned implementation once job status has been controlled for. This study uses a unique questionnaire of 520 observations which was designed to address the questions outlined in the preceding lines. Our econometric results indicate that workers have heterogeneous attitudes and hold heterogeneous beliefs on others’ expectations regarding a successful implementation of PRP. Specifically, individual perceptions are less skeptical towards PRP than are beliefs on others’ attitudes. Additionally, we found that managers are significantly more optimistic than lower rank employees regarding the expected success of PRP systems in their jobs. However, they both expect their peers to be more negative than they themselves are.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Agriculture, Policy and Development > Economic and Social Sciences Division > Agricultural and Food Investigational Team (AFIT)
ID Code:70104
Publisher:Public Library of Science

Download Statistics for this item.

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation