...
首页> 外文期刊>Journal of Intellectual Capital >Analysing value added as an indicator of intellectual capital and its consequences on company performance
【24h】

Analysing value added as an indicator of intellectual capital and its consequences on company performance

机译:分析作为智力资本及其对公司绩效的影响指标的增值

获取原文
获取原文并翻译 | 示例

摘要

Purpose - The purpose of this paper is to analyse the role of value added (VA) as an indicator of intellectual capital (IC), and its impact on the firm's economic, financial and stock market performance. Design/methodology/approach - The value added intellectual coefficient (VAIC) method is used on 300 UK companies divided into three groups of industries: high-tech, traditional and services. Data require to calculate VAIC method are obtained from the "Value Added Scoreboard" provided by the UK Department of Trade and Industry (DTI). Empirical analysis is conducted using correlation and linear multiple regression analysis. Findings - The results show that companies' IC has a positive impact on economic and financial performance. However, the association between IC and stock market performance is only significant for high-tech industries. The results also indicate that capital employed remains a major determinant of financial and stock market performance although it has a negative impact on economic performance. Practical implications - The VAIC method could be an important tool for many decision makers to integrate IC in their decision process. Originality/value - This is the first research which has used the data on VA recently calculated and published by the UK DTI in the "Value Added Scoreboard". This paper constitutes therefore a kind of validation of the ministry data.
机译:目的-本文的目的是分析增值(VA)作为智力资本(IC)指标的作用及其对公司经济,金融和股票市场绩效的影响。设计/方法/方法-增值智力系数(VAIC)方法用于300家英国公司,分为三类:高科技,传统和服务业。计算VAIC方法所需的数据可从英国贸易和工业部(DTI)提供的“增值记分板”中获得。使用相关和线性多元回归分析进行实证分析。调查结果-结果表明,公司的IC对经济和财务绩效产生积极影响。但是,IC和股票市场表现之间的关联仅对高科技行业有意义。结果还表明,尽管资本使用对经济表现产生负面影响,但其仍是金融和股市表现的主要决定因素。实际意义-VAIC方法可能是许多决策者将IC集成到决策过程中的重要工具。原创性/价值-这是第一项使用英国DTI最近在“增值记分板”中计算并发布的VA数据的研究。因此,本文构成了对部委数据的一种验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号