EXPLORING THE COMPONENTS OF THE INTELLECTUAL CAPITAL IN TROSO WEAVING SMEs

Ngatindriatun

Departement of Management Science, Bina Nusantara University, Jakarta, Indonesia

ngatindriatun@yahoo.com

Didik Sofian Haryadi

STEKOM PAT, Semarang, Indonesia

didikshse@rocketmail.com

Abstract

This study aims to test and analyze the effects of intellectual capital to competitive advantage and company’s performance at Troso traditional weaving business. The variables in this research are human capital as exogenous variable and structural capital, customer capital, competitive advantage, and company performance as the endogenous ones. The subject of the study was 200 sample consisting 572 craftmen. This research applies structural equation modelling. The result of SEM analysis fulfills Goodness of Fit Index criteria, i.e. chi-square value = 432.543, significance probability = 0.000, RMSEA = 0.070, CMIN/DF = 1.966, TLI = 0.885, CFI = 0.900, GFI = 0.849 and AGFI = 0.810. Based on the research result, it can be concluded that human capital, structural capital, and customer capital influence on competitive advantage and company performance.

Keywords: Intellectual Capital, Competitive Advantage, Company Performance

JEL classification: A, M12, J24

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EXPLORING THE COMPONENTS OF THE INTELLECTUAL CAPITAL IN TROSO WEAVING SMEs

NGATINDRIATUN

Departement of Management Science, Bina Nusantara University, Jakarta, Indonesia

ngatindriatun@yahoo.com

Didik Sofian HARYADI

STEKOM PAT, Semarang, Indonesia

didikshse@rocketmail.com

Abstract

This study aims to test and analyze the effects of intellectual capital to competitive advantage and company’s performance at Troso traditional weaving business. The variables in this research are human capital as exogenous variable and structural capital, customer capital, competitive advantage, and company performance as the endogenous ones. The subject of the study was 200 sample consisting 572 craftmen. This research applies structural equation modelling. The result of SEM analysis fulfills Goodness of Fit Index criteria, i.e. chi-square value = 432.543, significance probability = 0.000, RMSEA = 0.070, CMIN/DF = 1.966, TLI = 0.885, CFI = 0.900, GFI = 0.849 and AGFI = 0.810. Based on the research result, it can be concluded that human capital, structural capital, and customer capital influence on competitive advantage and company performance.

Keywords: Intellectual Capital, Competitive Advantage, Company Performance

JEL classification: A, M12, J24
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ESTIMATION OF REGION’S INTELLECTUAL CAPITAL BASED ON THE SYSTEM OF INDICATORS: CASE OF THE RUSSIAN FEDERATION

Anna MALTSEVA

Candidate of Economic Sciences, Director of Lurye Scientific and Methodological Center for Higher School Innovative Activity, Tver State University, Tver,

80179@list.ru

Igor VESELOV

Candidate of chemical sciences, Senior researcher in Lurye Scientific and Methodological Center for Higher School Innovative Activity, Tver State University, Tver

igor.veselov@mail.ru

Evgeny BUKHVALD

Doctor of Economic Sciences, professor, Institute of Economics of Russian Academy of Sciences, Moscow

buchvald@mail.ru

Abstract

The paper presents an analytical review of modern sources on the issues of determining, classifying and evaluating a region’s intellectual capital. The study identified the most common approaches to intellectual capital assessment, which need to be adjusted taking into account the specificity of the statistical reporting of the Russian Federation, and also because of the need for detailing certain types of intellectual capital. The authors proposed their own approach to assessing a region’s intellectual capital using a system of indicators based on the calculation of the integral indicator tested on the example of the Russian Federation’s regions. The authors have compiled a map of the intensity of the intellectual capital of the Russian Federation’s regions, which is the basis for their comparison by the magnitude of the studied indicator, as well as benchmarking of the key areas of its development for outsider regions.

Keywords: intellectual capital, region, development, competitiveness, knowledge, knowledge economy

JEL classification: R19
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