In the eye of the beholder: how is feedback seeking behaviour interpreted in organisations?

被引：0
作者：
De Stobbeleir, Katleen E. M. [1 ]
Ashford, Susan J. [2 ]
De Luque, Mary F. Sully [3 ]
Buyens, Dirk [1 ]
机构：
[1] Univ Ghent, Vlerick Leuven Gent Management Sch, B-9000 Ghent, Belgium
[2] Univ Michigan, Ross Sch Business, Ann Arbor, MI 48109 USA
[3] Garvin Sch Int Management, Glendale, AZ USA
来源：
GEDRAG & ORGANISATIE | 2009年 / 22卷 / 01期
关键词：
feedback; feedback seeking; scenario study; performance appraisal; attribution processes; IMPLICIT THEORIES; PERFORMANCE EVALUATIONS; IMPRESSION-MANAGEMENT; EMPLOYEE; JUDGMENTS; MOTIVES; HELP;
D O I：
暂无
中图分类号：
B849 [应用心理学];
学科分类号：
040203 ;
摘要：
This study examined how the pattern of feedback seeking affects how feedback-seeking behaviour is evaluated in organisations. Controlling for the performance history of the feedback seeker, we studied how the type of the sought feedback (strengths versus weaknesses) and the frequency of seeking (frequent versus occasional) affect targets' impressions of feedback seekers and their seeking. We also assessed how the targets' implicit person theory and their attributions for feedback seeking affect the relationship between feed back-seeking behaviour and targets' impressions. Results show that targets' attributions for feedback seeking are one of the underlying mechanisms for why feedback seeking behaviour affects important individual outcomes in organizations and that the targets' implicit person theory is a relevant moderator of these effects.
引用
收藏
页码：23 / 40
页数：18
相关论文
共 22 条
  • [21] How Leaders Can Get the Most Out of Formal Training: The Significance of Feedback-Seeking and Reflection as Informal Learning Behaviors
    Sparr, Jennifer L.
    Knipfer, Kristin
    Willems, Friederike
    HUMAN RESOURCE DEVELOPMENT QUARTERLY, 2017, 28 (01) : 28 - 53
  • [22] Affecting Off-Task Behaviour: How Affect-aware Feedback Can Improve Student Learning
    Grawemeyer, Beate
    Mavrikis, Manolis
    Holmes, Wayne
    Gutierrez-Santos, Sergio
    Wiedmann, Michael
    Rummel, Nikol
    LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE,, 2016, : 104 - 113
123