Motivation to Improve Work through Learning: A Conceptual Model

Kueh Hua Ng and Rusli Ahmad
Additional contact information
Kueh Hua Ng: Sarawak University of Malaysia, Malaysia
Rusli Ahmad: Sarawak University of Malaysia, Malaysia

International Journal of Management, Knowledge and Learning, 2014, vol. 3, issue 2, 181-200

Abstract: This study aims to enhance our current understanding of the transfer of training by proposing a conceptual model that supports the mediating role of motivation to improve work through learning about the relationship between social support and the transfer of training. The examination of motivation to improve work through motivation to improve work through a learning construct offers a holistic view pertaining to a learner’s profile in a workplace setting, which emphasizes learning for the improvement of work performance. The proposed conceptual model is expected to benefit human resource development theory building, as well as field practitioners by emphasizing the motivational aspects crucial for successful transfer of training.

Keywords: motivation; situated learning; organizational support; supervision; peer support; transfer of training; knowledge transfer; professional development (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.issbs.si/press/ISSN/2232-5697/3_181-200.pdf full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:isv:jouijm:v:3:y:2014:i:2:p:181-200

Access Statistics for this article

International Journal of Management, Knowledge and Learning is currently edited by Kristijan Breznik

More articles in International Journal of Management, Knowledge and Learning from International School for Social and Business Studies, Celje, Slovenia
Bibliographic data for series maintained by Alen Ježovnik ().