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Understanding and optimizing multisource feedback
Author(s) -
Atwater Leanne E.,
Waldman David A.,
Brett Joan F.
Publication year - 2002
Publication title -
human resource management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.888
H-Index - 94
eISSN - 1099-050X
pISSN - 0090-4848
DOI - 10.1002/hrm.10031
Subject(s) - set (abstract data type) , process (computing) , computer science , process management , state (computer science) , management science , business , engineering , algorithm , programming language , operating system
Abstract This article integrates the most recent research results on the topic of multisource feedback with whatresearchers have learned over the years about performance feedback in general. We believe that this review and setof recommendations represent the state of the art at this time. We provide practitioners with new ideas about howto continue to improve the multisource feedback process in their organizations. We also suggest ideas for feedbackproviders and facilitators about how to maximize the success of the feedback process. Additionally, we provide“food for thought” for researchers concerning ideas for future research. © 2002 WileyPeriodicals, Inc.