Achieving Business Performance Via Implementation of Knowledge Management: A Comparative Study of MAKE and non-MAKE Companies

Trevor Tin Shing Lui, Zhicheng Li, S. Chu
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引用次数: 4

Abstract

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.
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通过实施知识管理实现企业绩效:制造企业与非制造企业的比较研究
本文探讨了获得最受尊敬知识型企业(MAKE)奖的组织是否比那些没有获得或参与该奖项的组织拥有更好的业务表现。这项定量研究基于2009年59位MAKE奖得主以及59位同行。财务数据收集自2009-2016年期间的公开年度报告。运用知识增值系数(Value Added Intellectual Coefficient, VAIC)方法,建立回归模型,检验制造企业和非制造企业的知识资本与其财务绩效指标之间的关联和联系。基于相关和线性多元回归分析,VAIC各分量(HCE、SCE和CEE)对市值(MB)无统计学预测趋势。然而,HCE、SCE和CEE是三个公司财务绩效指标(ROA、ATO和ROE)的显著预测因子。非make公司组的VAIC值较高。两组的经营绩效差异无统计学意义。
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