Using assessment centre performance to predict subjective person‐organisation (P‐O) fit

Author:

Garavan Thomas N.

Abstract

PurposeThis research aims to contribute to the discussion of P‐O fit by examining the potential of assessment centre performance to predict graduate P‐O fit over time. Does assessment centre performance provide predictive value over and above that provided by personality, work experience, level of degree, socialisation tactics, and quality of training and development?Design/methodology/approachThe study utilises a panel design and surveyed graduates at three points over a six‐year period. The sample size used for analysis was 137.FindingsThe findings revealed that assessment centre performance predicted P‐O fit, even after controlling for personality, level of initial degree, work experience, socialisation tactics and quality of training and development. The findings indicated that assessment centre performance had predictive value over the six‐year period of the study.Research limitations/implicationsThe study indicates that the assessment centre has long‐term value as a selection tool in the context of predicting P‐O fit. The implications for future research include the extent to which this finding will hold for objective as well as subjective P‐O fit. It is also appropriate to investigate the link between assessment centre performance and P‐O fit, based on the perceptions of others such as boss and subordinates. Future research should examine these relationships on a different sample of employees.Originality/valueExamines the potential of assessment centre performance to predict graduate P‐O fit over time.

Publisher

Emerald

Subject

Organizational Behavior and Human Resource Management,Management Science and Operations Research,Applied Psychology,Social Psychology

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3