Measuring intellectual capital of national economies

Rađenović, Tamara; Krstić, Bojan

doi:10.5937/ekonomika1702031r

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…Lee, Lin and Lin, 2017;Seleim and Bontis, 2013). Similarly, the credibility of comparative analyses based on (single) country indicators that are composed of numbers that do not consistently (year to year) come from the same sources and that are not constructed in an identical way is suspect (Radjenovic and Krstic, 2017). This problem is similar to the common problem with the lack of consistency between quality criteria, accuracy requirements, and contents of data that different (national and regional) statistical systems require from the collected data (Lin www.ejkm.com 50 ©ACPIL and Edvinsson, 2012).…”

Section: Observed Data-related Problems and Consequencesmentioning

confidence: 99%

“…Maintaining NIC relevance most likely requires tools for making sure that relevant and "correct" indicators are used, there is however no consensus on evaluation models for NIC indicators (Radjenovic and Krstic, 2017). This is a clear path for further research and action in the NIC community and a challenge to the national and international data providers.…”

Section: Relevance Issues Related To Data In Nicmentioning

confidence: 99%

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Misled by Data? Review of Data Sources in National Intellectual Capital Research

Orjala¹

2021

EJKM

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This paper is a review of National Intellectual Capital (NIC) literature that focuses on the documented use of data and the data sources used in the NIC literature. The topic is important as the NIC research is largely based on data analysis and thus the use of data and the data sources used ultimately shape the reality around what is the big picture of national intellectual capital, as it is understood today. While this is the case, questions about use of data and the data sources used have not been in the core of the research tradition. The review focuses on 57 systematically collected NIC articles with a documented data source, published between the years 1991 and 2018. The results show that the majority of data-based NIC research is concentrated around a set of often-used data sources, while the rest of the data-based NIC literature uses a fragmented set of data sources. New data sources are rarely utilized. The documentation of data and data source use in the literature leaves room for criticism. Researchers and the users of NIC analyses benefit, if they are able to evaluate the quality, the coverage, and the relevance of the data sources used as a basis of NIC analyses. To the best of our knowledge, this is the first time that data sources used in the NIC literature are the main focus of a literature review.

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Section: Observed Data-related Problems and Consequencesmentioning

confidence: 99%

Section: Relevance Issues Related To Data In Nicmentioning

confidence: 99%

Misled by Data? Review of Data Sources in National Intellectual Capital Research

Orjala¹

2021

EJKM

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“…Often economists point out that in order to increase the competitiveness of a developing country, it is necessary to create clusters based on the available resources of the regions (Neethling, 2017;Radjenovic, 2017;Камалова, 2016;Hennig, 2015). However, between the social and economic development of individual territorial units, there are serious imbalances.…”

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confidence: 99%

Assessment of competitiveness of regions of the Republic of Kazakhstan

Tsaurkubule¹,

Kenzhin²,

Bekniyazova³

et al. 2020

IRD

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In modern science, there are a large number of techniques focused on the assessment of competitiveness through the analysis of certain resources in the region. However, accounting of human resources in such assessments is not used as a prior factor in identifying regional competitive advantages. Competitive advantages affect not only the efficiency of individual sectors of the economy but also the overall social and economic development of the country. Assessment of the competitiveness of the region should include one of the main parameters of the human resource development level. Therefore, the forecast for the competitiveness of the region should take into account the pace of human resources development. The methods used in Kazakhstan for assessing the competitiveness of a region considers only the assessment of human resources in its structure but do not take into account the level of their development over time, as well as the multi-factorial nature of their components.The work explains and analyzes rating model for assessing of the competitiveness of the regions of Kazakhstan (the National Chamber of Entrepreneurs of the Republic of Kazakhstan). The authors proposed a methodology for ranking the regions of Kazakhstan based on an assessment of the development of their human resources that affect the competitiveness of the region. It includes an analysis of demographic, labor and social and economic indicators reflecting the state of human resources.

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Intellectual Capital Efficiency and Firm Performance of Technology, Telecommunication and Media Companies in Malaysia

Sharem

2020

URAF

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The main purpose of this paper is to study the association between intellectual capital efficiency (ICe) and firm performance of companies in the Technology and Telecommunications & Media (TT&M) sectors on the Malaysian main and ACE markets. Data were collected from 37 companies’ annual reports for the year 2018. Value added intellectual coefficient (VAIC) and its components were measured using Pulic’s model, whereas firm performance focuses on profitability, proxied by return on asset (ROA) and return on equity (ROE). VAIC, human capital efficiency (HCe) and Capital employed efficiency (CEe) are associated with significantly higher ROA and ROE. However, Structural capital efficiency (SCe) is not significant with either ROA or ROE. These findings have useful implications to the TT&M companies as their managers may improve on the efficient usage of the relevant capitals in order to gain better firm performance. Moreover, the findings of this study could also be beneficial to policy makers as the financial success of TT&M companies would be in line with national economic policies.

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Measuring intellectual capital of national economies

Cited by 6 publications

References 32 publications

Misled by Data? Review of Data Sources in National Intellectual Capital Research

Misled by Data? Review of Data Sources in National Intellectual Capital Research

Assessment of competitiveness of regions of the Republic of Kazakhstan

Intellectual Capital Efficiency and Firm Performance of Technology, Telecommunication and Media Companies in Malaysia

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