Value Added Intellectual Coefficient Research Articles

Does intellectual capital reduce the probability of default?

Purpose This study aims to examine the impact of intellectual capital (IC) on default risk in Indian companies listed on the National Stock Exchange. Design/methodology/approach This study applies panel data regression analysis to derive a relationship between IC and default risk for the sample period 2013–2022. The value-added intellectual coefficient (VAIC) of Pulic (2000) has been applied to measure IC performance, and default risk is estimated using the revised Z-score model of Altman (2000). Findings The results revealed a positive association between Z-score and VAIC. It implies that a higher value of VAIC improves financial stability and leads to a lower likelihood of default. The findings further suggest that new default forecasting models can be experimented with IC indicators for better default prediction. Practical implications The findings can have implications for investors and banks. This paper provides evidence of IC performance in improving the financial solvency of firms. Investors and financial institutions should invest their resources in a healthy firm that effectively manages and invests in their IC. It will eventually award investors and creditors high returns through efficient value-creation processes. Originality/value This study provides evidence of IC performance in improving the financial solvency of Indian high-defaulting firms, which lacks sufficient evidence in this domain of research. Numerous studies exist examining the relationship between firm performance and IC value, but this area is inadequately focused and underresearched. This study, therefore, fills the research gap from an Indian perspective.

Intellectual Capital, Financial Performance, and the Mediating Role of Financial Vulnerability

This study investigates the contribution of intellectual capital in enhancing firms' financial vulnerability and performance in Pakistan's emerging economy. This research considered ten years of data from 2011 to 2020 of non-financial firms listed on the stock exchange of Pakistan (PSX) and falls in the KSE-100 index. This research successfully applied a previously defined regression methodology to test the hypothesis investigating the significance of intellectual capital. Empirical investigation successfully reveals IC's significance in improving firms' financial vulnerability and performance using an aggregate measure of IC called value-added intellectual coefficient (VAIC) and its components human capital, structural capital, and capital employed efficiency. Financial Vulnerability mediates between intellectual capital and financial performance. The results of this study prove VAIC significance in developing countries like Pakistan. The study also shows that Pakistani investors and firms give IC weight in their investment decisions and must focus on IC for success in a competitive world. Accounting bodies should also focus on developing standards that incorporate IC as an asset. This study considered firms of multiple sectors to examine the significance of IC in Pakistani firms successfully. Along with enhancing IC literature, the VAIC model is significant in measuring IC in developing economies. This study also tried to extend IC literature in the context of the financial Vulnerability of firms and its indirect impact on financial performance.

Intellectual capital: A key driver of financial performance in the Macedonian banking industry

Research Question: How does intellectual capital, measured by the Value Added Intellectual Coefficient (VAIC) and its components, influence the financial performance of banks in North Macedonia? Motivation: In the evolving landscape of the banking sector, understanding the impact of intellectual capital on financial performance is crucial. This study builds upon existing research (Appuhami, 2007; Ozkan et al., 2017; Joshi et al., 2013) to explore this relationship in the specific context of North Macedonia. It addresses the research gap by using the VAIC model to quantify intellectual capital and examines its effect on Return on Assets (ROA) and Return on Equity (ROE). Idea: The research employs linear regression models to analyze the effect of intellectual capital, as measured by VAIC and its components, on the financial performance indicators ROA and ROE in Macedonian banks. Data: The study analyzes a decade of data (2012-2021) from ten Macedonian banks, using the VAIC model to measure intellectual capital. Tools: The study utilizes linear regression analyses with the Statistical Package for the Social Sciences (SPSS) to examine the relationship between intellectual capital and financial performance. Findings: The study finds a significant and positive impact of VAIC and its components on both ROA and ROE. These results underscore the importance of intellectual capital in enhancing financial performance in the banking sector. Notably, the study reveals a high average VAIC value among Macedonian banks, indicating their substantial intellectual capability. Contribution: This research adds to the literature by elucidating the relationship between intellectual capital, measured through VAIC, and financial performance in the banking sector of North Macedonia.

Intellectual capital and financial performance: does board size and independent directors matter? An empirical enquiry

Purpose Intellectual capital (IC) is a paramount resource for competitiveness in the knowledge-based financial sectors of the economy. As financial technology advances, specifically in the banking industry, it is vital to understand the effect of IC on financial performance. This study aims to investigate the effect of IC on return on equity (ROE), with a unique emphasis on the moderating role of board attributes. Previous studies have overlooked this moderating role. Design/methodology/approach The study sample consists of 17 banks and a panel data set spanning 2016–2021, extracted from annual reports. Antel Pulic’s value-added intellectual coefficient (VAIC) model is used to compute IC. To analyze the data, a generalized least squares analysis is conducted. The robustness of the analysis is ensured by using the two-stage least squares (2SLS) econometric technique. Findings The findings indicate that both the VAIC and human capital efficiency (HCE) have a significant impact on the ROE of banks. In terms of moderation, it is observed that board size (BS) exerts a negative effect on the association between VAIC, HCE, structural capital efficiency and ROE. Additionally, BS positively compounds the connection between capital employed efficiency and ROE. Similarly, the presence of independent directors (IND) significantly moderates the effects of VAIC and its components on the ROE of banks in Pakistan. Practical implications Banks should focus on the HCE for a higher ROE. Moreover, banks ought to prioritize appointing more independent directors in the boardroom for effective utilization of IC and greater ROE. Originality/value The findings of the study, which analyzed data from Pakistan’s banking sector, are original and provide additional insights into the literature on IC and board attributes.

The Role Of Gender Diversity In Increasing ESG Performance Through Intellectual Capital

This study examines whether intellectual capital mediates the association between board gender diversity and ESG performance. The samples were selected based on criteria that included all non-financial companies registered on the Indonesia Stock Exchange. The total observations are 257 in the period 2017 to 2022. ESG scores were obtained from the Refinitiv Eikon database as a proxy for ESG performance, intellectual capital proxied by the value-added intellectual coefficient (VAIC) model, and directors' gender diversity proxied by the percentage of female directors. The results show intellectual capital mediates the association between board gender diversity and ESG performance. These results suggest that board gender diversity positively affects ESG performance if the company has intellectual capital that adds value to create competitiveness. This study aims to help companies understand the importance of gender diversity in managing and utilising intellectual capital to improve the company's ESG performance.

INTELLECTUAL CAPITAL AND FINANCIAL PERFORMANCE ON BANKING FIRMS IN INDONESIA

With the rapid advancement of global economic progress, lot of innovation has been made and attract researchers to investigate Intellectual Capital (IC). The purpose of this paper is to find any relationship Intellectual Capital toward Financial Performance. Using Value Added Intellectual Coefficient (VAIC) Model and the modified version as the research model. This study takes secondary data from companies that published its annual financial statement in Indonesia Stock Exchange during 2017 until 2022. The gathered data then analysed by using regression panel method. This research shows that Human capital doesn’t significantly affect ROA and ROE but does significantly affect ATO in both VAIC model and Modified VAIC model. Structural capital also insignificantly affects ROE and ROE but significantly affect ATO when tested using VAIC model. Capital employed and innovation capital is proven to a positive significant effect to all dependent variables.

Does intellectual capital efficiency measured by modified value-added intellectual coefficient affect the financial performance of insurance companies in Ethiopia?

Insurance company managers and shareholders should be conscious of the effect of intellectual capital efficiency and its components on financial performance. The purpose of this study is to examine the role of intellectual capital efficiency and its components on the financial performance of insurance companies. To achieve study objectives Modified value-added intellectual coefficient is adopted to measure the effect of intellectual capital efficiency. The study adopted an explanatory research design with an arrangement of secondary data analysis via document analysis, quantitative approach, and deductive method of inquiry. Panel data was used with a sample of 14 insurance companies from 2012-2022. Descriptive and regression analyses were performed to analyze the data using STATA version 15.0. Econometric model estimation procedures and multiple regression assumptions were tested accordingly. The random effect regression result revealed that the value-added intellectual capital and its component human capital and capital employed efficiency have a positive significance association with financial performance. Whereas, relational capital efficiency and structural capital efficiency do not have a significant contribution to the financial performance of insurance sectors in Ethiopia. The findings of this study contribute to the theoretical and practical understanding of the relationship between intellectual capital efficiency and financial performance in the context of insurance companies in Ethiopia.

Does corporate governance spur bank intellectual capital in an emerging economy? A system GMM analysis from Ethiopia

PurposeThe current study aims to explore the impact of corporate governance (CG) mechanisms, as measured by board size, board meeting frequency, board gender diversity, number of board subcommittees, board remuneration, size of audit committee, and audit committee meeting frequency, on bank intellectual capital (as calculated by the modified value-added intellectual coefficient (M-VAIC) and its components (human capital efficiency (HCE), structural capital efficiency (SCE), and relational capital efficiency (SCE)).Design/methodology/approachPanel data is extracted from the financial and other internal reports of 14 commercial banks and the National Bank of Ethiopia for the period 2011–2022. A two-step system generalized method of moments (2SYS-GMM) was used to account for the unobserved endogeneity and heteroscedasticity problems.FindingsThe empirical findings suggest that board size and board meeting frequency have a negative and significant impact on all IC performance measures. Besides, audit committee size has a negative and significant effect on HCE, SCE, and M-VAIC of the banking industry in Ethiopia. Moreover, board remuneration has a significant positive relationship with IC efficiency (HCE, SCE, and M-VAIC). Also, audit committee meeting frequency has a positive and significant effect on the HCE of banks. However, board gender diversity and the number of board subcommittees have not made statistically significant contributions to IC performance.Research limitation/implicationThe study is limited in its use of seven dimensions of CG and future studies can use other alternative accounts for CG variables. Next, this study applies only to commercial banks; hence, future studies can include other financial as well as non-financial organizations such as insurance companies, microfinance institutions, manufacturing, and other sectors.Practical implicationsThis study contributes to helping the regulators and practitioners of the banking industry improve the existing standards and guidelines for CG practices to strengthen their IC performance. The findings may also give input for policymakers to integrate the intellectual capital in the decision-making process for policy formulation and implementation for the establishment of a robust banking sector.Originality/valueConsidering the modified value-added IC coefficient (M-VAIC) and 2SYS-GMM models, this research is the first study to analyze the relationships between CG and banks’ IC in Ethiopia.

Sustainability Unleashed through Innovation: Knowledge-Driven Strategies Igniting Labor Productivity in Small- and Medium-Sized Engineering Enterprises

This research is focused on knowledge-based performance drivers, which are often intertwined with intellectual capital (IC); specifically, the value-added intellectual coefficient (VAIC) and its profound influence on labor productivity (LP), with the pivotal inputs of training and research and development (R&D) as moderating, in the realm of small- and medium-sized (engineering) enterprises (SMEs). The aim is to offer this as a sustainable model for practical implementation to empower engineering managers, donors, and policy researchers. The motivation catalyzes more informed decision-making investing in human or structural capital. It attempts to foster sustainable growth and societal stability through job creation within the knowledge-intensive engineering sector of developing countries. Methodologically, the research draws upon statistical analysis, employing Pearson’s correlation, multivariate regression, and model testing executed through specialized statistical software. The World Bank Enterprise Survey Instrument was used to collect data on 213 aviation-related firms. Primary data were collected for the years 2013–2022. Several hypotheses were developed between the variables expected to relate positively, because intellectual capital, training, and research and development should lead to better labor productivity. The findings revealed the critical issue of the misallocated investments in structural capital that this model brought forth. Furthermore, the notable contribution to national intellectual capital (NIC) studies is the significant VAIC value of 4.58 and an impressive labor productivity value of 6.78 within the knowledge-intensive ecosystem of SMEs. More insightful findings were the modest 17% positive variation attributable to the VAIC on LP, accompanied by an absence of significant influence exerted by training and R&D on this relationship. While underscoring the model’s overall validity, this intriguing discovery emphasizes the impact of intangibles on knowledge firms’ overall sustainability calculations, specifically structural capital, which accounts for a substantial 31% of labor productivity. The practical implication is that this model can be used to expose long-term financial performance hiccups through intellectual capital measures. The novelty is employing the labor productivity metric sourced from the engineering literature instead of the customary asset productivity (ATO) ratio from the IC literature.

The Impact of Intellectual Capital and Corporate Governance on Bank Performance in Vietnam

Purpose – The importance of corporate governance and intellectual capital on financial performance has largely been ignored in emerging markets. The banking sector is considered to accumulate a higher level of intellectual capital and to adopt a better corporate governance system. We aim to examine the contribution of these two important aspects to the performance of Vietnam's banking sector. Design/methodology/approach – This paper utilizes data collected from the annual reports of banks in Vietnam from 2011 to 2021. The modified value-added intellectual coefficient (MVAIC) model is adopted to measure a bank's intellectual capital efficiency. In addition, the generalized method of moments is utilized to ensure the robustness of the findings. Findings – Empirical results strongly confirm that intellectual capital positively contributes to a bank's performance. In terms of corporate governance, the findings indicate that board size, board remuneration and major shareholders holding more than 20 percent of outstanding shares are the three most important factors that contribute positively to banks' performance. In addition, human capital efficiency and capital employed efficiency positively impact a bank's profit. Practical implications – Our study provides valuable evidence and implications for policymakers in managing and enhancing corporate governance and intellectual capital efficiency within the Vietnamese context, particularly in the banking sector. Originality/value – To the best of our knowledge, this is the first empirical paper conducted to examine the contribution of corporate governance and intellectual capital on banks’ performance in Vietnam.

The Role of the Ceo's Educational Background on the Relationship Between Intellectual Capital and Performance Among Indonesian Listed Banks

The transition from a physical resource-based economy to a knowledge-based economy has encouraged researchers to look for new ways to measure intangible assets such as intellectual capital. This study tests and analyzes the effect of intellectual capital on company performance and the role of educational background in the influence of intellectual capital on the performance of banking companies listed on the Indonesian stock exchange for the period 2018-2022. This study uses secondary data obtained from the official website of the sample company. The number of samples in this study was 47 banks listed on the Indonesian Stock Exchange (IDX). The value-added intellectual coefficient (VAIC) method was used to measure the added value of intellectual capital. This study uses quantitative methods with panel data regression to analyze the effect of intellectual capital on company performance and the effect of managing directors’ educational background on the relationship between intellectual capital and company performance. These findings show how IC elements of intellectual capital affect financial performance. We discover that IC improves the ROA and ROE of Banking Companies Listed in Indonesia, data analysis results indicate that the educational background of the managing director has a varying impact on the relationship between intellectual capital (IC) and company performance, as measured by return on assets (ROA) but not to return on equity (ROE). To the best of the author’s knowledge. This is the first empirical study to evaluate the Role of a CEO's educational background in affecting Intellectual Capital in the performance of banking companies listed in Indonesia.

Intellectual capital efficiency and competitive advantage of firms: an empirical analysis

This paper empirically tests the strategic importance of intellectual capital for firms and assesses its impact on their market returns. The study builds on the premise that intellectual capital provides a firm competitive advantage over other firms, which then translates into superior market returns. The sampling frame for the study constitutes of Indian firms listed on the Bombay Stock Exchange’s index for medium-sized companies (BSE Midcap). Accordingly, seven-year data is drawn from authentic sources such as the Prowess-IQ database of the Centre for Monitoring Indian Economy (CMIE) and the company annual financial statements. For ascertaining the extent of the intellectual capital efficiency of firms, the Value-Added Intellectual Coefficient (VAIC) model, first proposed and conceptualized by Ante Pulic has been adopted in this study. The excess rate of return that a firm earns above the average rate of return prevalent in the market, alpha (α), is used as an indicator of the firm’s competitive advantage and a measure of superior performance in the market. Results of the analysis provide irrefutable evidence in support of the fundamental premises and affirm that intellectual capital is the root of competitive advantage, which bestows a firm with higher-than-normal returns on investments.

PENGARUH MODAL INTELEKTUAL, DANA PIHAK KETIGA, DAN NON PERFORMING LOAN TERHADAP PROFITABILITAS

Profitability is very important for the company for its survival. The purpose of this study was to determine the effect of intellectual capital, third party funds, and non-performing loans on the profitability of banking sector companies listed on the Indonesia Stock Exchange in 2018-2022. The implementation of this research uses a causality associative research design with secondary data types. The sampling technique used purposive sampling and obtained as many as 23 companies that meet the criteria that generate profits and have intellectual capital data from a total population of 55 companies with a research period of 115 years, so that 115 sample data were obtained. This study utilizes a multiple linear regression analysis model. The results showed that intellectual capital has a positive effect on profitability as measured using the value added intellectual coefficient (VAIC), third party funds have a positive effect on profitability by adding up demand deposits, savings and deposits. Then non-performing loans have a negative effect on profitability. Future researchers are expected to consider or add other variables that can affect profitability, such as sales growth, leverage, dividend policy, inflation rates and interest rates on different research objects. Factors from intellectual capital, third party funds, and non-performing loans can be used as the main reference for companies in an effort to increase their profitability.

Knowledge Economy: How Intellectual Capital Drives Financial Performance of Non-financial Service Firms in Nigeria.

The study investigates the relationship between intellectual capital and financial performance of 58 listed non-financial service firms in Nigeria for a period of eleven years from 2012 to 2022.The study extracts data from annual reports and accounts of the listed non-financial service firms in Nigeria. The study aligns with correlational research design and positivism research philosophy. The modified Value-added intellectual coefficient (MVAIC) method is applied to measure the value-based intellectual performance of the sampled firms. Return on equity (ROE) and Tobin’s (TQ) are used to measure the financial performance of the firms. The intellectual capital (human and structural and relational capital) of selected firms has been analyzed and their impact on financial performance has been measured using the multiple regression technique. The findings of the analysis reveal that the relationships between intellectual capital and financial performance indicators, namely ROE and TQ, are varied. The study results suggest that intellectual capital influences the financial performance of Nigeria’s listed non-financial service firms. The study recommends that the board of directors of non-financial service firms in Nigeria should identify, protect and ensure effective utilization of intellectual capital in their companies in order to achieve long-term success and competitiveness. The study provides policy implications as the MVAIC method can be used as an important tool by decision-makers in the knowledge economy to integrate intellectual capital in the decision-making process.

Intellectual Capital and Financial Performance of Quoted Manufacturing Firms

Purpose: This study examined the effect of intellectual capital on the financial performance of quoted manufacturing firms on the Nigerian Stock Exchange (NSE). The study specifically evaluated the effect of the value-added intellectual coefficient (VAIC) on Asset Turnover (ATR), Gross Profit Margin (GPM) and Return on Assets (ROA) from 2011 to 2019. Research Methodology: The research design used in the study is ex post facto. Non-probability sampling was the method of sampling that was employed in the investigation. Twenty (20) consumer products manufacturing companies that had been listed on the NSE for nine years made up the final sample. In earlier investigations, this was deemed sufficient for regression analysis. The analysis makes use of secondary data taken from the companies’ annual reports. The information spanned a nine-year span, from 2011 to 2019. Result: There is a non-significant negative effect of value added intellectual coefficient on the Asset Turnover Rate (ATR) of quoted manufacturing firms; however, there is a non-significant positive effect of VAIC on Gross Profit Margin (GPM) and Return on Assets (ROA) of quoted manufacturing firms. Limitation: The main limitation is the duration of time the study was conducted and the delisting of some firms during the period. Contribution: The research adds to the body of knowledge about developing nations, on the nexus of VAIC and financial performance. It reiterates the point that firms should emphasize intellectual capital accounting and disclosure to boost and maintain a motivated workforce and its potentially beneficial effect on firm valuation in this knowledge era.

Intellectual capital and firm’s financial distress risk: Evidence from developed and developing countries

Objective: This study aims to examine the effect of intellectual capital on financial distress risk in developed and developing countries. Design/Methods/Approach: This study adopts a quantitative approach that focuses on investigating the effect of intellectual capital on the risk of financial distress by employing data from 266 companies listed on the India stock Exchange and 1164 companies listed on the Japan Stock Exchange during the period from 2017 to 2021. Panel data regression is employed to conduct the statistical analysis. Findings: The results confirm that firms in developing and developed socioeconomic backgrounds with stronger intellectual capital are less likely to face financial distress. While the overall impact of intellectual capital on the risk of financial distress appears consistent, the magnitude of each category of intellectual capital varies depending on the economic circumstant. The influence of human capital efficiency in reducing financial distress risk is observed to be stronger in developed countries when comparing the value of the regression coefficient. In contrast, capital-employed efficiency has a greater impact on lowering financial distress risk in emerging nations. Originality: This study uses the Adjusted VAIC (Value-Added Intellectual Coefficient) method, which incorporates research and development data in measuring structural capital, addressing criticisms faced by the original VAIC method. This study also explores the association between intellectual capital and the risk of financial distress, offering insights into the predictive value of intellectual capital indicators for identifying financially distressed companies. This research examines two countries with differing socioeconomic development and emphasizes intellectual capital's role in developing and developed economies. Additionally, utilizing the Z-Score measurement, adapted for emerging markets in the case of India, provides a comprehensive assessment of the financial distress risk. Practical/Policy implication: Based on the results, managers should prioritize financial investments that impact the organization's resources, considering the influence of capital employed on intellectual capital. Although less influential, human capital remains significant, thereby emphasizing the importance of investing in employee development and fostering collaboration. While innovation capital may not exhibit statistical significance, creating an environment that supports innovation still holds considerable value.

The Effect of Audit Committee Meetings, Profitability, and Foreign Ownership on Intellectual Capital

This study aims to obtain empirical evidence regarding the factors that affect intellectual capital in manufacturing companies listed on the Indonesia Stock Exchange during 2019-2021. The number of companies as the research sample was 34 manufacturing companies which were selected through purposive sampling technique with predetermined criteria. Intellectual capital is measured by Value Added Intellectual Coefficient (VAIC) taking into account VACA, VAHU, STVA. Panel data were processed using Eviews 12.0. Classical assumption testing includes multicollinearity test and heteroscedasticity test. Model selection is done by testing Chow, Hausman and Lagrange Multiplier. While the hypothesis test using the t test and the coefficient of determination test. The results of the analysis show that the audit committee frequency of meetings has a negative and insignificant effect on intellectual capital, Profitability as proxied by Return on Assets (ROA) has a positive and significant effect on intellectual capital, and Foreign ownership has a positive and significant effect on intellectual capital,

The Effect of Audit Committee Meetings, Profitability, and Foreign Ownership on Intellectual Capital

This study aims to obtain empirical evidence regarding the factors that affect intellectual capital in manufacturing companies listed on the Indonesia Stock Exchange during 2019-2021. The number of companies as the research sample was 34 manufacturing companies which were selected through purposive sampling technique with predetermined criteria. Intellectual capital is measured by Value Added Intellectual Coefficient (VAIC) taking into account VACA, VAHU, STVA. Panel data were processed using Eviews 12.0. Classical assumption testing includes multicollinearity test and heteroscedasticity test. Model selection is done by testing Chow, Hausman and Lagrange Multiplier. While the hypothesis test using the t test and the coefficient of determination test. The results of the analysis show that the audit committee frequency of meetings has a negative and insignificant effect on intellectual capital, Profitability as proxied by Return on Assets (ROA) has a positive and significant effect on intellectual capital, and Foreign ownership has a positive and significant effect on intellectual capital,

The Effect of Audit Committee Meetings, Profitability, and Foreign Ownership on Intellectual Capital

This study aims to obtain empirical evidence regarding the factors that affect intellectual capital in manufacturing companies listed on the Indonesia Stock Exchange during 2019-2021. The number of companies as the research sample was 34 manufacturing companies which were selected through purposive sampling technique with predetermined criteria. Intellectual capital is measured by Value Added Intellectual Coefficient (VAIC) taking into account VACA, VAHU, STVA. Panel data were processed using Eviews 12.0. Classical assumption testing includes multicollinearity test and heteroscedasticity test. Model selection is done by testing Chow, Hausman and Lagrange Multiplier. While the hypothesis test using the t test and the coefficient of determination test. The results of the analysis show that the audit committee frequency of meetings has a negative and insignificant effect on intellectual capital, Profitability as proxied by Return on Assets (ROA) has a positive and significant effect on intellectual capital, and Foreign ownership has a positive and significant effect on intellectual capital,

The Impact of Corporate Governance on Intellectual Capital. Empirical Evidence from Romanian Companies

This study aims to analyse the effects of corporate governance on the intellectual capital of companies. The sample is composed of 64 companies listed on the Bucharest Stock Exchange in the time span 2016-2021. The data were collected from companies' annual reports and from Thomson Reuters database. In this way, we investigated the relationship between corporate governance, measured as the compliance with the Bucharest Stock Exchange Code of Corporate Governance, and intellectual capital, measured by two different methods: Economic Value Added (EVA) and Value Added Intellectual Coefficient (VAIC). The results showed that there is a positive and statistically significant relationship between intellectual capital and corporate governance. The main results of our study indicate that there is a positive and statistically significant relationship between corporate governance and intellectual capital in all the cases. Furthermore, all the control variables, namely total assets, employee number, and leverage, show positive and statistically significant results. It has been found that intellectual capital and good corporate governance practices can contribute to the wealth creation of firms. Strategic planning, organisation, transparency, and accountability are the cornerstones of a good corporate governance system. These elements improve the quality of the internal control and risk management processes and increase investors’ and other stakeholders' trust. The importance of intellectual capital has been acknowledged by companies as a vital component of their competitive advantage. The outcomes of the present study can be used by policymakers in order to increase the efficiency of companies and to determine the need to invest in human capital.