An empirical investigation of the relationship between intellectual capital and firms’ development ability

Shui-ying, Jin

doi:10.1109/icmse.2008.4669042

Cited by 1 publication

(3 citation statements)

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“…In order to highlight the eventual moderator role of the three VAIC™'s components on the relation IC-FP. To address this issue, a regression has been carried out exclusively on studies that reported both relation between VAIC™ as a whole and FP and relation between the three VAIC™'s components and the FP (Kamath, 2008;Jin, 2008a;Jin, 2008b; Jin e Wu , 2008; Zhang et al, 2006;Saengchan, 2008;Najbullah, 2005;Shiu, 2006;Chan 2009; Chen et al, 2005), The regression results show that only human capital is a moderating variable on that relation (p<0.05). This result is coherent with the prevailing doctrine, which, in front of empirical evidences, sustains the moderating role of human capital (Bontis et al, 2000;Vali, 2007).…”

Section: Discussion and Implications For Future Researchmentioning

confidence: 99%

“…This variable is useful to test also the quality of study (papers have not fully survived peer-review processes), since few studies measure the reliability of the research (Vali, 2007) and no study has been replicated (Pomeroy and Thorton, 2008). Kamath, 2008;Chan, 2009;Shiu, 2006;Chen et al, 2005;Firer and Stainback, 2003;Zhang et al, 2006;Lonnqvist, 2007 Iswati andAshori, 2008;Cazavan-Jeny, 2003;Richieri et al, 2008;Jin, 2008a;Jin 2008b;Jin and Wu, 2008;Tan et al, 2007;Appuhami, 2007;Naijbullah, 2005;Vali, 2007;Sangchaen, 2008;Pulic, 2000 Another variable frequently taken into consideration is the size of the firm. Granted that all firms in the sample are listed firms, size was used as control variable in the studies of Kujansivu and Lonnqvist, 2007;Firer and Stainback, 2003;Jin, 2008a, Jin 2008b, Jin and Wu, 2008Shiu, 2006;Chan, 2009;Kamath, 2008;Juma and Payne, 2004. Empirical studies were also compared in relation to their results, showing conflicting results.…”

Section: Meta-analysis Of the Relation Between Intellectual Capital Amentioning

confidence: 99%

“…; Cazavan-Jeny, 2003;Iswati and Ashori, 2008); others for more than one year(Kujansivu and Lonnqvist, 2007;Pulic, 2000; Saengchan, 2008;Jin and Wu, 2008;Jin, 2008a;Jin 2008b;Chen et al, 2005;Chan, 2009;Kamath, 2008;Juma and Payne, 2004;Villalonga, 2004;Tan et al, 2008a).…”

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confidence: 99%

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The impact of Intellectual Capital measurement on the financial markets: a meta-analysis approach

Veltri

2010

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The main aim of the article is to offer a systematic review of the literature on the relation between Intellectual Capital (IC) and Firm Performance (FP) through the statistical technique of meta-analysis (MA). MA synthesizes the quantitative results of different empirical studies on the relationship between explicative, independent variables (IC in our case) and dependent variables (FP) in a common metric called the effect size (Rosenthal, 1984, Hedges and Olkin, 1985, Hunter and Schmidt, 2004/1990). Meta-analysis is scarcely used in business sciences, even if applications in these research areas have increased in the last few years. The originality of the article consists in applying a relatively new technique for business sciences and particularly new for the IC literature. The research of a correlation between IC and FP has always been considered relevant for both a firm’s managers and Scholars (Ittner, 2008; Kamiyama et al., 2004), but has encountered many drawbacks, not least the difficulties in measuring IC. Researches on a correlation between IC and FP received a great boost after the publication of the VAICTM method by Ante Pulic, (1998, 2000, 2204) which allows the IC performance to be calculated by starting from accounting data. The article, despite the limits deriving from the effectiveness of the measures of the two variables and from a lack of reliability in the measurement of the studies included in the MA, tries to summarize, from a statistical point of view, for the first time in the IC literature, the researches existing on such a connection and, above all, to search for the variables responsible for the heterogeneity between studies (moderators). On the whole, there are two ways to conceptualize MA: fixed-effects and random-effects MA (Hedges and Vevea, 1998; Hunter and Schmidt, 2004/1990). The fixed-effect methods assumes that all studies in an MA comes from a population with a fixed-average effect size, whilst random-effect methods assume that average effect size in the population vary from study to study. I chose to utilize a random-effects method, in particular the Hedges and colleagues’ method (Hedges and Olkin, 1985, Hedges and Vevea, 1998), since the data collected for the MA are real-world data, likely to have variable-population parameters and because the random-effects method allows inferences that generalize beyond the studies included in MA (Field, 2009). The moderator analysis has been carried out by using a multi-level regression model, due to the hierarchical nature of our data (multiple FP measures in the same study). With respect to the traditional meta-analytic techniques, multilevel modelling structure accounts for dependencies in the data whilst also allowing each study to contribute different effect sizes (Hox, 2002; Van Den Noortgate and Onghena, 2003; Goldstein et al., 2000). Despite to its potential efficacy (Hofmann and Gavin, 1998), few published MA utilized this method, for a distinct lack of prescriptive instructions on how to conduct a MA using multilevel modelling (O’Mara et al., 2005). The main MA result is a positive true effect size of the correlation between IC and firm’s performance, whilst, from the moderator analysis, it emerges that the different economic context is the main responsible for the between-study variance, together with the industry and the FP measures. Stefania Veltri. Researcher in Business Economics, Department of Business Sciences, University of Calabria. stefania.veltri@unical.it

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Section: Discussion and Implications For Future Researchmentioning

confidence: 99%

Section: Meta-analysis Of the Relation Between Intellectual Capital Amentioning

confidence: 99%

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The impact of Intellectual Capital measurement on the financial markets: a meta-analysis approach

Veltri

2010

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An empirical investigation of the relationship between intellectual capital and firms’ development ability

Cited by 1 publication

References 7 publications

The impact of Intellectual Capital measurement on the financial markets: a meta-analysis approach

The impact of Intellectual Capital measurement on the financial markets: a meta-analysis approach

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