TY - JOUR
T1 - Achieving business performance via implementation of knowledge management
T2 - A comparative study of MAKE and non-MAKE companies
AU - Lui, Trevor Tin Shing
AU - Li, Zhicheng
AU - Chu, Samuel K.W.
N1 - Publisher Copyright:
© 2019, IGI Global.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - This article explores whether organisations that have received the Most Admired Knowledge Enterprises (MAKE) award boast better business performance relative to those that have not received or participated in the award. This quantitative study is based on 59 MAKE award winners in 2009, along with 59 counterparts. Financial data were collected from publicly available annual reports for the period 2009-2016. Applying the Value Added Intellectual Coefficient (VAIC) methodology, regression models were developed to examine the associations and connections between MAKE and non-MAKE companies' Intellectual Capitals and their financial performance indicators. Based on correlation and linear multiple regression analysis, the VAIC components (HCE, SCE and CEE) have no statistical predictive trend for market value (MB). However, HCE, SCE and CEE were significant predictors of three corporate financial performance indicators (ROA, ATO and ROE). The group of non-MAKE companies demonstrates a higher VAIC value. There is no statistical significance between the two groups' business performance.
AB - This article explores whether organisations that have received the Most Admired Knowledge Enterprises (MAKE) award boast better business performance relative to those that have not received or participated in the award. This quantitative study is based on 59 MAKE award winners in 2009, along with 59 counterparts. Financial data were collected from publicly available annual reports for the period 2009-2016. Applying the Value Added Intellectual Coefficient (VAIC) methodology, regression models were developed to examine the associations and connections between MAKE and non-MAKE companies' Intellectual Capitals and their financial performance indicators. Based on correlation and linear multiple regression analysis, the VAIC components (HCE, SCE and CEE) have no statistical predictive trend for market value (MB). However, HCE, SCE and CEE were significant predictors of three corporate financial performance indicators (ROA, ATO and ROE). The group of non-MAKE companies demonstrates a higher VAIC value. There is no statistical significance between the two groups' business performance.
KW - Business Performance
KW - Intellectual Capitals
KW - Knowledge Management
KW - Knowledge Sharing Culture
KW - MAKE
KW - VAIC
UR - http://www.scopus.com/inward/record.url?scp=85071276881&partnerID=8YFLogxK
U2 - 10.4018/IJKM.2019100101
DO - 10.4018/IJKM.2019100101
M3 - Article
AN - SCOPUS:85071276881
SN - 1548-0666
VL - 15
SP - 1
EP - 15
JO - International Journal of Knowledge Management
JF - International Journal of Knowledge Management
IS - 4
ER -