nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2019‒09‒16
two papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Intellectual Capital and Research Performance of Universities in Taiwan By Hsiu-Hsi Liu; Yu-Chuan Chen
  2. Knowledge subsystem By Karbowski, Adam

  1. By: Hsiu-Hsi Liu (National Academy for Educational Research); Yu-Chuan Chen (National Taiwan Normal University)
    Abstract: The main purpose of this study is to examine the concept of Intellectual capital in higher education institutions/universities, justify its importance and its impact on their research output and performance. This study analyzes the impact of Intellectual Capital on university research performance in Taiwan and also compares the intellectual capital of two selected universities. This is an important study of the intellectual research area because the growing interest in intellectual capital has been extended from the firms to higher education institutions during the last decade. The major function of a university is exploring and transmitting knowledge which is acquired through research and education. Therefore assessing university research performance and its intellectual capital is a complex and critical issue. Furthermore intellectual capital has become a major driver for sustainable competitive advantage in all the organizations. A literature review is used to describe the intellectual capital, its components and research performance of the universities; it also highlighted the researchers? contributions in this area of study. The study uses exploratory approach to develop the conceptual model and raised these research questions with respect to it; Is there a significant impact of intellectual capital and its components on research performance of the university?, which university NTU or NCKU has the greater intellectual capital. These research questions were investigated through empirical research using a case study approach on two large general public sectors universities in Taiwan i.e. NTU and NCKU. Secondary data was used and collected for the study. Descriptive, Ratio and correlation analysis were used to study the intellectual capital of the universities and its impact on their research performance. Our descriptive and Ratio analysis found that NTU has higher and positive values in the all indicators of human, structural and relational capital, which shows that NTU has greater intellectual capital than the NCKU. The results of these techniques also showed that intellectual capital has a significant impact on research performance of the university in general. According to the findings all the components of intellectual capital also has a significant impact on research performance of the university, although human capital was ranked first and most important, followed by structural capital while relational capital ranked last among the components. Additionally the effect of human capital was most influential whereas relational capital did not have a significant impact. The results of this study are useful for the Universities to understand the value of their intellectual capital and exploit them for innovations and efficiency augmentation.
    Keywords: Intellectual Capital, Human Capital, Structural capital, Relational capital, Research performance
    Date: 2019–07
  2. By: Karbowski, Adam
    Abstract: The aim of this chapter is to conduct the empirical study of the institutional setup of the knowledge subsystem in Central Eastern and Western Europe. Based on the data provided by OECD, Eurostat, ECB and World Bank, the list of innovation, R&D and education indicators has been prepared and used for the purpose of empirical analysis. Based on the subspace clustering method (the ORCLUS algorithm) and the selected set of institutional indicators, the following clusters have been identified. Cluster 1 or “stuck in the middle” comprises two countries, i.e. Slovenia and Italy. Cluster 2, dubbed “aspiring”, encompasses thirteen EU economies including all but one CEE countries as well as Greece, Portugal and Spain. Cluster 3 is made up of ‘developed patent oriented’ economies (Germany, Austria, Denmark, the Netherlands, Sweden and Finland). Cluster 4 – ‘developed innovation oriented’ economies – was found to include four countries, i.e. United Kingdom, Ireland, France and Belgium. We identified two basic types of knowledge subsystems. The first is a developed knowledge subsystem with two variants (oriented at patenting and traineeships, represented e.g. in Germany, or oriented at industry and services’ innovation and tertiary education, to be found e.g. in the UK). The second type is a developing knowledge subsystem with two variants (average in terms of patenting with a relatively strong traineeship program, such as e.g. in Slovenia, or relatively weak in all measures, seen e.g. in Bulgaria).
    Keywords: Knowledge,Central and Eastern Europe
    JEL: O3 P1
    Date: 2019

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