File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Achieving business performance via implementation of knowledge management: A comparative study of MAKE and non-MAKE companies

TitleAchieving business performance via implementation of knowledge management: A comparative study of MAKE and non-MAKE companies
Authors
KeywordsBusiness Performance
Intellectual Capitals
Knowledge Management
Knowledge Sharing Culture
MAKE
Issue Date2019
PublisherIdea Group Publishing. The Journal's web site is located at http://www.idea-group.com/journals/details.asp?id=4288
Citation
International Journal of Knowledge Management, 2019, v. 15 n. 4, p. 1-15 How to Cite?
AbstractThis 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. © 2019, IGI Global.
Persistent Identifierhttp://hdl.handle.net/10722/275801
ISSN
2020 SCImago Journal Rankings: 0.229
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLui, T-
dc.contributor.authorLi, Z-
dc.contributor.authorChu, SKW-
dc.date.accessioned2019-09-10T02:49:58Z-
dc.date.available2019-09-10T02:49:58Z-
dc.date.issued2019-
dc.identifier.citationInternational Journal of Knowledge Management, 2019, v. 15 n. 4, p. 1-15-
dc.identifier.issn1548-0666-
dc.identifier.urihttp://hdl.handle.net/10722/275801-
dc.description.abstractThis 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. © 2019, IGI Global.-
dc.languageeng-
dc.publisherIdea Group Publishing. The Journal's web site is located at http://www.idea-group.com/journals/details.asp?id=4288-
dc.relation.ispartofInternational Journal of Knowledge Management-
dc.subjectBusiness Performance-
dc.subjectIntellectual Capitals-
dc.subjectKnowledge Management-
dc.subjectKnowledge Sharing Culture-
dc.subjectMAKE-
dc.titleAchieving business performance via implementation of knowledge management: A comparative study of MAKE and non-MAKE companies-
dc.typeArticle-
dc.identifier.emailChu, SKW: samchu@hku.hk-
dc.identifier.authorityChu, SKW=rp00897-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.4018/IJKM.2019100101-
dc.identifier.scopuseid_2-s2.0-85071276881-
dc.identifier.hkuros303649-
dc.identifier.volume15-
dc.identifier.issue4-
dc.identifier.spage1-
dc.identifier.epage15-
dc.identifier.isiWOS:000511202500001-
dc.publisher.placeUnited States-
dc.identifier.issnl1548-0658-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats