Formal mentoring support, person–environment fit and newcomer's intention to leave Does newcomer's uncertainty avoidance orientation matter?
Purpose The purpose of this study is to investigate how and why formal mentoring support reduces newcomers' intention to leave from the perspective of uncertainty reduction theory. Design/methodology/approach Time-lagged data were collected from two sources, mentors and newcomers, and 193 paire...
Saved in:
Published in | Personnel review Vol. 49; no. 8; pp. 1749 - 1767 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Farnborough
Emerald Group Publishing Limited
13.10.2020
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Purpose
The purpose of this study is to investigate how and why formal mentoring support reduces newcomers' intention to leave from the perspective of uncertainty reduction theory.
Design/methodology/approach
Time-lagged data were collected from two sources, mentors and newcomers, and 193 paired data sets were included in the analysis.
Findings
The results showed that formal mentoring support was positively related to newcomers' person–organisation fit (P–O fit) and person–job fit (P–J fit). In addition, P–O fit and P–J fit mediated the relationship between formal mentoring support and newcomers' intention to leave. Moreover, newcomers' uncertainty avoidance orientation strengthened the relationship between formal mentoring support and perception of fit, and it strengthened the indirect effect between formal mentoring support and newcomer's intention to leave, via the perception of fit.
Originality/value
This study enhances our understanding of the underlying mechanism between formal mentoring support and newcomers' intention to leave. Moreover, it demonstrates that uncertainty avoidance orientation is an important boundary condition during the process of organisational socialisation. The findings also contribute to the organisational socialisation and the mentoring literature by providing evidence from a blue-collar sample. |
---|---|
ISSN: | 0048-3486 1758-6933 |
DOI: | 10.1108/PR-05-2018-0171 |