Measurement of Intellectual Capital of Lithuanian Cities by a Composite Index

Krušinskas, Rytis; Bruneckienė, Jurgita

doi:10.3846/16111699.2012.729155

Cited by 10 publications

(11 citation statements)

References 8 publications

(12 reference statements)

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“…IC research at "macro" and "meso" levels has been gaining some importance in the past decade. Nevertheless, a lack of academic discussion about IC at these levels still subsists (Krušinskas and Bruneckienė, 2015). Most IC research at higher levels of analysis has been focused on Nations, namely, as a means to support decision making with the aim of increasing wealth (Seleim and Bontis, 2013;Labra and Sánchez, 2013).…”

Section: Ic Beyond Individual Organizationsmentioning

confidence: 99%

Individual intellectual capital versus collective intellectual capital in a meta-organization

Vale

Branco

Ribeiro

2016

Journal of Intellectual Capital

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Purpose – The purpose of this paper is to discuss and analyse how intellectual capital (IC) is created and deteriorated in a meta-organization by assessing the interdependency between the collective IC of the meta-organization and the individual IC of its members. Design/methodology/approach – A case study conducted in a seaport is adopted to explore how creation or deterioration of IC at one level of analysis affects the IC at the other. Four different illustrations are provided, depicting different instances of articulation between both types of IC. Findings – Evidence suggests that, in a meta-organization, IC appears as a function of both individual and collective IC dimensions. Changes in the meta-organization’s IC or in its members’ IC may have different impacts on each other, generating intellectual assets or intellectual liabilities at both levels. Evidence also suggests that those changes in IC should be analysed in a longitudinal way, since both levels affect each other in different ways over time. Research limitations/implications – Despite the validity of the interpretations provided in the context of the case study, generalization to other situations should be conducted only in a theoretically framed manner. Practical implications – This study provides important strategic and managerial implications for meta-organizations and their members, who are concerned with their performance. Originality/value – Although there have been some efforts to apply the traditional IC methodologies to a bigger scope, such as regions or nations, some meso level empirical contexts are yet far unexplored, such as the case of meta-organizations. Furthermore there is a gap in management sciences’ research on seaports.

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Section: Ic Beyond Individual Organizationsmentioning

confidence: 99%

Individual intellectual capital versus collective intellectual capital in a meta-organization

Vale

Branco

Ribeiro

2016

Journal of Intellectual Capital

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“…The analysis revealed that application of econometric and non-econometric -qualitative methods offers opportunities to describe the competitive position of cities or regions and envisage their future perspectives more explicitly and comprehensively. In their other articles (Bruneckiene, Krusinskas, 2011, Bruneckiene et al, 2010, Snieska, Bruneckiene, 2009) the authors of this article provided a comprehensive presentation on peculiarities, advantages and disadvantages of measuring urban and regional competitiveness by index; also they provided justification on suitability of this method for measuring territorial competitiveness.…”

Section: Diversity Of Methods On Measuring Urban Competitivenessmentioning

confidence: 99%

The Specifics of Measurement the Urban Competitiveness at the National and International Level

Bruneckienė

Činčikaitė

Kilijonienė

2012

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The article involves analysis of urban competitiveness from the national and international perspective. The analysis is focused on possibilities of application of different methods, widely used for the assessment of both the company's, national and regional competitiveness, as well as on identification of advantages and disadvantages of such methods. The article also involves introduction of methodological guidelines on the assessment of urban competitiveness from the national and international perspective, based on results of theoretical and empirical analysis. The empirical study is based on analysis of the sample of Kaunas, the second largest city of Lithuania. From the national perspective the assessment of Kaunas city competitiveness is based on comparing it with other major cities of Lithuania-the country's capital Vilnius and Klaipeda, by employing statistical data of 2007-2010. The availability of official data at the regional level revealed that the assessment of international competitiveness of the cities, located in regions which, based on the territorial statistics units nomenclature, are attached to the third level (NUTS 3), should be equaled to the regional competitiveness itself. Measurement of Kaunas city and region competitiveness from the international perspective is based on statistical data of 2007-2011. The identification of specifics of measurement the urban competitiveness at the national and international level, presented in the article, is one of the ambitions to promote the methodological background for urban governance and improvement of competitiveness of Lithuanian cities. The article presents the continuity of the research work of the authors in the sphere of urban competitiveness measurement.

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“…The most important component of RIC is human capital, which is generally accepted by scholars [4,9,10,18,[43][44][45][46][47][48][49][50][51]. Measuring and evaluating knowledge in human capital is a very important and interesting area [52].…”

Section: Literature Review 21 Components Of Intellectual Capitalmentioning

confidence: 99%

A Hybrid Multiple Criteria Decision-Making Technique to Evaluate Regional Intellectual Capital: Evidence from China

Liu

Jiang

et al. 2021

Mathematics

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With the dawn of economic globalization and the knowledge economy, intellectual capital has become the most important factor to determine economic growth. However, due to resource endowment, location conditions, policy differences, and other factors, provinces in China show sizeable differences in regional intellectual capital (RIC), which affects the coordinated development of the regional economy. Evaluating RIC is a typical multiple-criteria decision-making (MCDM) problem. Therefore, this study employs a set of MCDM techniques to solve this problem. First, the Delphi method is used to determine the formal decision structure based on a systematic literature review. A novel hybrid method, namely, the Grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP), i.e., GDANP, is employed to obtain the relative weight of each criterion. Finally, based on the data of 31 provinces in China, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is used to evaluate the RIC. According to the questionnaires filled out by an expert panel, we establish an evaluation index of RIC with 21 criteria. Based on the results of empirical study, the level of RIC in different regions in China is quite different. Furthermore, the RIC ranking is largely consistent with the provincial gross domestic product (GDP) ranking, in line with the current status of development in the regions. Indeed, this paper shows that the proposed hybrid method can effectively measure the level of RIC.

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Measurement of Intellectual Capital of Lithuanian Cities by a Composite Index

Cited by 10 publications

References 8 publications

Individual intellectual capital versus collective intellectual capital in a meta-organization

Individual intellectual capital versus collective intellectual capital in a meta-organization

The Specifics of Measurement the Urban Competitiveness at the National and International Level

A Hybrid Multiple Criteria Decision-Making Technique to Evaluate Regional Intellectual Capital: Evidence from China

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