European Academic Research ISSN 2286-4822
ISSN-L 2286-4822
Impact Factor: 3.4546 (UIF)
DRJI Value : 5.9 (B+)
Article Details :
Article Name :
A research note on knowledge-uncertainty-based learning (KUBL), using Total Quality Management (TQM) subject as an example
Author Name :
JOSEPH KIM-KEUNG HO
Publisher :
Bridge Center
Article URL :
Abstract :
Management subject learning can only be effective by jettisoning the restrictive reliance on learning only knowledge that has been scientifically validated (i.e., knowledge-certainty-based learning (KCBL)). Instead, management subject learning has to also embrace knowledge-uncertainty-based learning (KUBL) in order to be useful. This article postulates (i) the six underlying thinkings of KUBL and (ii) the literature review required to produce KUBL study materials, using the subject of Total Quality Management as an illustrative example. The proposed KUBL ideas should be of use to those who study management subjects and do literature review for management dissertation projects
Keywords :
Academic literature, knowledge-certainty-based learning (KCBL), knowledge-uncertainty-based learning (KUBL), KUBL thinkings, management knowledge, management subject learning, Total Quality Management (TQM).

Announcements
New Launched Project
onlineresearch
Recommend & Share