Intellectual capital and financial performance : an evaluation of the Australian financial sector

Purpose - The 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/approach - The 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

THE INFLUENCE OF INTELLECTUAL CAPITAL ON ROMANIAN COMPANIES‘ FINANCIAL PERFORMANCE

This article aims to theoretically and empirically argue the influence of intellectualcapital on financial performance at microeconomic level. Based on data collected from thefinancial statements of companies listed at Bucharest Stock Exchange, present study analyses thecorrelation between intellectual capital and its components, calculated by using the VAIC method,and financial performance, calculated by using Return on Equity. Several regression models arebeing used. The results support the proposed hypothesis, proving that there is a significant positivecorrelation between intellectual capital and financial performance. By extrapolating it can be saidthat the role of intellectual capital is important in achieving competitive advantages by companiesfrom emerging economies where performance is usually strongly determined by the physical capitalemployedintellectual capital, financial performance, value added intellectual coefficient, Bucharest StockExchange

Intellectual Capital Disclosure Analysis Based on Profitability in Tourism and Hospitality Sector in Indonesia and Thailand

This research aims to investigate the level of disclosure of intellectual capital components in tourism and hospitality companies in Indonesia and Thailand. We use intellectual capital components and profitability levels as variables. This research analyzes the differences in the level of disclosure of intellectual capital components between tourism and hospitality companies in Indonesia and Thailand that fall into the category of having high profitability and companies that fall into the category of having low profitability. This research uses One-Sample Kolmogorov-Smirnov Test and Wilcoxon Signed Ranks Test to analyze the data. The results showed significant differences in the disclosure of intellectual capital components in tourism and hospitality companies in Indonesia and Thailand. Human Capital is the component with the highest level of disclosures. Companies classified as having high profitability tend to disclose more about intellectual capital than companies classified as having low profitability

Analysis of value relevance of intellectual capital disclosure

This research aims to examine whether the disclosure of IC information conducted by the company in the annual report has value relevance. The research dependent variable is PRICE. The independent variables in this research are intellectual capital disclosure index (ICDI) obtained using Li, et. al. (2012) which consists of 61 items of IC information, net income (NI), and book value of equity (BVE). The research sample is a banking sector company listed on the Indonesia Stock Exchange (BEI) of the year 2012 through 2016 using annual report. The result of hypothesis testing with regression analysis using SPSS 23 application shows that ICDI coefficient is not have positive influence to stock price. But if it is divided into 3 components it can be seen that Human Capital Disclosure Index (HCDI) has a positive effect on stock price although Structural Capital Disclosure Index (SCDI) and Customer Capital Disclosure Index (CCDI) have no effect on stock price. This shows that not all information about intellectual capital has value relevance

Management Background, Intellectual Capital and Financial Performance of Indonesian Bank

This research aims to determine the effect of management background which proxy by accounting education background, MBA education background, Chinese ethnicity and intellectual capital (VAIC) on conventional banks’ financial performance (ROA) in Indonesia. The Population consists of all conventional banks listed on Indonesia Stock Exchange period of 2012 to 2015. Using purposive sampling method to screen the data, the final sample for this research is 140 data that consists of 39 banking companies. This research used Eviews7 software to conduct panel data regression analysis. The results showed that accounting education background and Chinese ethnicity are not significantly affect financial performance. Meanwhile MBA education background and VAIC are significantly affecting financial performance (ROA).Keywords: management background, VAIC, ROA, banking

Intellectual Capital Efficiency and Market Performance: A Bangladeshi Apparel Industry Perspective

This paper assesses intellectual capital (IC) efficiency of Bangladeshi apparel firms and its impact on market performance from 2011 to 2016 with secondary data obtained from annual reports. Bangladesh is synonymous with its apparel industry export and low cost labor, which has huge potential of developing intellectual capital through introduction of modern technology, proper working environment, improved organizational structure and human resource training. The existing efficiency status of the industry was examined through the Value Added Intellectual Coefficient (VAIC) rankings. The IC efficiency of Human Capital (HC) and Structural Capital (SC) along with physical capital has been analyzed for their influence on market performance with Market to Book ratio (M/B) applying multiple regression technique. The study found human capital playing a major role in creating firm’s value, with physical capital having major influence on the firm's perceived market outcome. Keywords: Intellectual Capital, Market Performance, VAIC Model, Bangladeshi Apparel Industry

Investigating and analyzing the impact of IC on the profitability of companies listed on the Iraqi stock exchange

Companies need to follow a continual strategy of knowledge improvement and innovation to maintain their competitive advantage in the face of rapid technological advances and global competition. This method, known as intellectual capital (IC), aids businesses in keeping their edge in the market. Managers should pay attention to IC because of this reason. This study looked at how IC affected the bottom line of a company listed on the ISE in Iraq. The study studied data from a subset of the ISE-listed manufacturers throughout the span of ten years, from 2010 to 2019. Multivariate regression, as well as the F-Limer, Chow, and Hausman tests, were used to examine the data. It was shown that IC improved both ROA and ROE. The results also showed that the capital added value coefficient (COAV) positively impacted ROA but had no discernible impact on ROE. Moreover, ROA and ROE were found to be positively impacted by structural capital's coefficient of added value COAV. And while it had little impact on ROA, the added value coefficient (AVC) of human capital (HC) had a positive and large impact on ROE

Effect of Intellectual Capital on Performance of Firms Listed on Nigeria Stock Exchange

This study assesses the effect of intellectual capital on performance of firms listed on Nigeria Stock Exchange. Three specific objectives were formulated to determine the extent to which intellectual capital affects corporate performance. From the specific objectives, hypotheses were also formulated and to test the hypotheses a sample of forty (40) companies were selected from 213 companies listed on Nigeria Stock Exchange using multi-phases sampling method. The study applied Ex-post Facto Research Design and made use of secondary data sourced from annual reports and accounts of sampled firms and Nigeria Stock Exchange Fact Book. Pulic 1998 Value Added Intellectual Capital Co-efficient (VAIC) model which enable the determination of specific effects of the components of intellectual capital (Human Capital Efficiency (HCE), Structural Capital Efficiency (SCE) and Capital Employed Efficiency (CEE) was adopted and transformed into ordinary least square approach and a multiple regression performed to test the hypotheses at 5% level of significance using E-view statistical software (version 8.0). The analysis of the test shows that Intellectual Capital affects significantly, Company Process measured by ADM/OPA and market to Book value ratio of companies listed on Nigeria Stock Exchange whereas there was no significant effect of Intellectual Capital on Asset Turnover (ATO) . The study therefore recommends among other factors that corporate management should endeavour to provide adequate and conducive working environment, good welfare package reviewing the performance and engaging on regular training and development programmes which will automatically increase the efficiency and productivity of the workforce. Keywords: Intellectual Capital, Firms Performance, Nigerian Stock            Exchange

Financial performance mediates the relationship of intellectual capital to firm value in Indonesian banking companies

This study was conducted to seek the consistency of the results of previous studies on the influence of Intellectual Capital, with the mediation of financial performance, on the value of banking firms. The quantitative research method used the PLS-SEM analysis technique by using the Smart PLS 3 application. The research subjects were 45 banks listed on the IDX for the period 2015-2019. The sampling technique used was purposive sampling. The results showed the consistency of the financial performance of banking companies with ROE and ROA indicators as mediating variables between Intellectual Capital as the dependent variable on the value of conventional banking companies using PER indicator as an independent variable. The type of mediation formed in the PLS-SEM equation model is partial mediation

EFFECT OF GRC AND INTELLECTUAL CAPITAL ON COMPANY PERFORMANCE

This research was conducted on companies that won the Top GRC Award in 2019 and 2020 with secondary data collection methods. The data is collected through purposive sampling techniques. The sample used in this research is 30 companies.The analysis method used is to use SPSS for multiple linear regression analysis. The results present that governance, risk, compliance (GRC) and intellectual capital have a positive effect on the companies performence that have won Top GRC awards