Publication Type
Journal Article
Version
acceptedVersion
Publication Date
2001
Abstract
Although much has been written about how to set up learning organizations, there is a paucity of research on understanding employees’ willingness to learn or contribute knowledge in such activities, a key element in the success of organizational learning. This paper presents models for understanding individuals’ willingness to learn and individuals’ willingness to contribute in organizational settings. Through the examination of the psychological mechanisms underlying individuals’ willingness to learn and to contribute, we will further our understanding on the individual and contextual factors that affect employees’ decision to learn and contribute in organizational learning activities. Drawing from the literature, we assert that in the learning model, willingness to learn would be affected by individual level variables such as learning orientation, risk-taking propensity and self-efficacy and contextual variables such as the quality of working relationship, organizational norms favoring learning and compensation systems favoring learning. For the contribution model, willingness to contribute would be affected by the same set of contextual variables while at the individual level, innovative cognitive style, expert power and self-efficacy are key to willingness to contribute.
Discipline
Business | Organizational Behavior and Theory
Research Areas
Organisational Behaviour and Human Resources
Publication
Research and Practice in Human Resource Management
Volume
9
Issue
1
First Page
77
Last Page
100
ISSN
0218-5180
Publisher
National University of Singapore
Citation
ZHAO, Bin and TAN, Hwee Hoon.
Psychological Mechanisms underlying Individual Knowledge and Contribution in Learning Organizations. (2001). Research and Practice in Human Resource Management. 9, (1), 77-100.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/2721
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.