PurposeThe purpose of this paper is to examine the intellectual capital (IC) performance of the Australian Financial Sector for the period 2006‐2008. It also aims to examine the relationship between IC performance and the financial performance of the financial sector.Design/methodology/approachThe value added intellectual coefficient (VAIC) approach developed by Pulic is used to determine the IC performance of the Australian financial sector. The required data to calculate different constituents of IC was obtained from the annual reports of Australian Financial Sector companies.FindingsThe value creation capability of financial sector in Australia is highly influenced by human capital. About two thirds of the sample companies have very low levels of intellectual capital efficiency. The performance of various components of VAIC and overall VAIC differs across all subsectors in the financial sector. Investment companies have high value VAIC due to higher a level of human capital efficiency, as compared to banks, insurance companies, diversified financials and RIETs. Insurance companies are more focussed on physical capital rather than human and structural capital leading to lower VAIC.Research limitations/implicationsThe paper analyses IC performance of only one sector of the Australian economy and there is a relatively narrow three‐year period for the data collection. However, a comparative analysis of various sub sectors in the Australian financial sector justifies the contributions made by this study.Practical implicationsThe findings may serve as a useful input for financial institutions to apply knowledge management in their institutions and in addressing the factors affecting IC performance in order to maximise their value creation. It will also help the management of companies in other sectors, especially those in knowledge‐based industries, in understanding the contributions of various components of intellectual capital in their growth.Originality/valueThis is the first paper that examines the relationship of intellectual capital performance with financial performance of financial sector companies in Australia.
Purpose – The purpose of this paper is to measure the intellectual capital performance of Indian banks and established a relationship between intellectual capital and return on assets (ROA). The paper also compared the intellectual capital performance of public sector and private sector banks. Design/methodology/approach – This study is based on secondary data from the top 20 Indian banks. Ten banks were selected from each of the public and private sectors on the basis of paid-up equity capital. The analysis was made using the value added intellectual coefficient, the coefficient of variation, exponential growth rates, trend analysis, Yule’s coefficient, the coefficient of correlation, the F-test and the t-test. Findings – The study revealed that private sectors have performed relatively better regarding the creation of total information coefficient (IC). However, the ROA was still below the international benchmark of > 1 percent. The major cause of the lower IC and the reduced ROA is disproportionate to the increase in capital employed and escalating non-performing assets in the Indian banking sector. Practical implications – The study focussed on managers and identified the causes of lower performance. It proposed numerous strategies to improve the aggregate score of IC, which is closely related to bank profitability. Originality/value – This is the first study to make a comparative analysis of intellectual capital performance in public and private sector banks in India and in addition to the traditional style of measuring sectoral performance. Further, the study employed new statistical tools, such as Yule’s coefficient of association, to establish the association between performance variables.
Purpose -This paper aims to investigate inter firm intellectual capital (IC) disclosures and its variations in top 20 listed pharmaceutical companies in India, study the category wise and element wise IC disclosures (ICD), find out the impact of ICD on the creation of IC in monetary terms, find out correlation between IC valuation and its disclosure, and test significance of correlation. Design/methodology/approach -This is an exploratory and empirical study of ICD by sample companies in 2009 using content analysis. IC is valued as market value minus book value. Five-point scale (0-4), mean disclosure score, range, Chi-squares, Karl Pearson's correlation and Student's t-test are used for analysis and interpretation. Findings -Although top 20 companies of knowledge-led industry, ICD are low, narrative and varying significantly among companies. ICD score varies in range of 4 to 36 against expected score of 96. External capital with mean score of 18.78 is the most disclosed category. Brands and business collaborations is most disclosed element of IC, followed by employee competence and internal organizational capital respectively. ICD leads to creation of IC in some companies. Markets reflected true valuations of ICD in seven companies, and high degree of inconsistency in 13 companies. Overall correlation between IC valuation and disclosure is negative, weak and insignificant. Practical implications -Sector-specific intangible asset monitors should be formulated to capture ICD. Originality/value -The paper measures ICD using five-point scaling technique, it uses Chi-square test (non-parametric test) to calculate inter-firm variations. The paper also correlates ICD and valuation of respective companies with Spearman's correlation for the first time in pharmaceutical companies in India. It proposes inclusion of fourth category i.e. sector-specific items in existing models of ICD.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.