Intellectual capital and firm performance in emerging economies: the case of India

2016 ◽  
Vol 26 (3) ◽  
pp. 410-430 ◽  
Author(s):  
Santi Gopal Maji ◽  
Mitra Goswami

Purpose The purpose of this paper is to examine the impact of intellectual capital (IC) on Indian traditional sector and compare the relative importance of IC on corporate performance of Indian knowledge-based sector (engineering sector) and traditional sector (steel sector). Design/methodology/approach Secondary data on 100 listed Indian firms, comprising of 44 firms from the engineering sector and 56 from the steel sector, are collected from “Capitaline Plus” Corporate database for a period of 14 years from 1999-2000 to 2012-2013. IC and its components are computed using Pulic’s value-added intellectual coefficient model and firm performance is measured by return on asset. Fixed effect regression model is used to investigate the hypothetical relationship between IC and firm performance. Further, quantile regression is used to check the robustness of the results. Findings The results indicate that IC efficiency and physical capital efficiency are positively and significantly associated with the firm performance for both the sectors. Regarding the components of IC, the coefficient of human capital efficiency is positive and significant, but the present effort fails to disentangle any significant influence of structural capital efficiency on firm performance. However, the results indicate that the influence of IC efficiency on firm performance is significantly greater in case of knowledge-based sector than that of traditional sector. Practical implications The findings of the study are useful for the decision makers, as the results indicate that the IC plays crucial role in value creation not only for knowledge-based firms but also for the firms belonging to the traditional manufacturing sector. Originality/value In the Indian context, this is the first study to examine the relative importance of IC in a knowledge-based sector and a traditional sector using appropriate methodology.

2018 ◽  
Vol 19 (5) ◽  
pp. 935-964 ◽  
Author(s):  
Neha Smriti ◽  
Niladri Das

Purpose The purpose of this paper is to examine the effect of intellectual capital (IC) on financial performance (FP) for Indian companies listed on the Centre for Monitoring Indian Economy Overall Share Price Index (COSPI). Design/methodology/approach Hypotheses were developed according to theories and literature review. Secondary data were collected from Indian companies listed on the COSPI between 2001 and 2016, and the value-added intellectual coefficient (VAIC) of Pulic (2000) was used to measure IC and its components. A dynamic system generalized method of moments (SGMM) estimator was employed to identify the variables that significantly contribute to firm performance. Findings Indian listed firms appear to be performing well and efficiently utilizing their IC. Overall, human capital had a major impact on firm productivity during the study period. Furthermore, the empirical analysis showed that structural capital efficiency and capital employed efficiency were equally important contributors to firm’s sales growth and market value. The growing importance of the contribution of IC to value creation was consistently reflected in the FP of these Indian companies. Practical implications This study has robust theoretical grounds and employs a validated methodology. The present study extends knowledge of IC among academicians and managers and highlights its contribution to value creation. The findings may help stakeholders and policymakers in developing countries properly reallocate intellectual resources. Originality/value This study is the first study to evaluate IC and its relationship with traditional measures of firm performance among Indian listed firms using dynamic SGMM and VAIC models.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yolanda Ramírez ◽  
Julio Dieguez-Soto ◽  
Montserrat Manzaneque

PurposeThe purpose of this paper is twofold: to know whether those firms that achieve greater efficiency from their intangible resources (intellectual capital) also obtain greater performance; and to analyze the moderating role of family management on that relationship in small to medium-sized enterprises (SMEs).Design/methodology/approachThis paper conducts an empirical study with different econometric models using a panel data sample of 6,132 paired firm-year observations from Spanish manufacturing SMEs in the period 2000–2013.FindingsThe findings suggest that intellectual capital efficiency is a key factor that allows the firm to achieve and maintain competitive advantages, obtaining greater performance. Additionally, this research also shows that the moderating role of family management can be a double-edged sword depending on the type of intangible resources.Practical implicationsThis paper may give managers an insight in how to better utilize and manage intangible resources available in their firms to improve competitive advantage and ultimately firm performance. Additionally, on the basis of the Socioemotional Wealth perspective (SEW), this article argues that family-managed firms that focus on SEW preservation can enhance the impact of structural capital efficiency on performance.Originality/valueThis paper extends the prior literature by studying the joint effects of intellectual capital efficiency, distinguishing between human capital and structural capital efficiency, and family management on performance in the context of SMEs.


2017 ◽  
Vol 18 (4) ◽  
pp. 884-903 ◽  
Author(s):  
Vladimir Dzenopoljac ◽  
Chadi Yaacoub ◽  
Nasser Elkanj ◽  
Nick Bontis

Purpose The purpose of this paper is twofold: first, to fill a gap in the intellectual capital (IC) literature by providing insights into the relationship between IC and corporate performance among Arab companies and second, to challenge the validity of the Value Added Intellectual Coefficient (VAIC) as a measure of IC’s contribution to performance. Design/methodology/approach The research sample included 100 publicly traded Arab companies selected by Forbes Middle East and ranked as top performers in terms of sales, profits, assets, and market value. The methodology included assessing the impact of IC components on company earnings, profitability, efficiency, and market performance for the period between 2011 and 2015. Research hypotheses were tested through the presentation of descriptive statistics, normality tests, correlation matrix, and multiple regression models. Findings The research yielded ambiguous results. Earnings and profitability were significantly affected by structural and physical capital; efficiency was determined primarily by physical capital; and market performance was mainly influenced by human capital. Research limitations/implications The main limitation of the research comes from disadvantages of VAIC as the measure of IC’s contributions to performance. Originality/value The paper fills a void in the study of IC and corporate performance among Arab companies.


2017 ◽  
Vol 8 (2) ◽  
pp. 130-142 ◽  
Author(s):  
Tasawar Nawaz ◽  
Roszaini Haniffa

Purpose The purpose of this paper is to empirically examine the effect of intangible resources, i.e. intellectual capital (IC) on financial performance of 64 Islamic financial institutions (IFIs) operating in 18 different countries for the period 2007-2011, while controlling for firm-specific variables, namely, bank size, level of risk, listing status, and firm complexity. Design/methodology/approach The required data to calculate different constituents of IC are derived from Bankscope database. Value Added Intellectual Coefficient (VAIC) methodology devised by Pulic is used to determine the impact of IC on financial performance of IFIs. Findings Results indicate a significant positive relationship between VAIC and accounting performance based on return on assets (ROA). The results further indicate a significant positive relationship between accounting performance and capital employed efficiency (CEE) and human capital efficiency (HCE), but no significant relationship with regards to structural capital efficiency. Overall, the results suggest that value creation capability of IFIs is highly influenced by HCE and CEE. Research limitations/implications The main limitation of the present study lies in its methodological tool, the VAIC methodology, which has been criticized by some researchers as not really measuring IC. Despite the inherent limitation of the VAIC methodology which relies on secondary data published in annual reports, it is still considered by some researchers as one of the best available tool to measure firms’ IC in the absence of access to detailed internal information on IC. Practical implications The findings may serve as a useful input for Islamic bankers in managing their investments in IC within their institutions. Originality/value The main contribution of this paper is to use a previously little-studied area, Islamic banking and finance, to identify the effect of intellectual capital on performance.


2018 ◽  
Vol 14 (1) ◽  
pp. 29 ◽  
Author(s):  
Sedeaq Nassar

Purpose- The main purpose of this study is to find the impact of intellectual capital on firm performance of real estate companies listed in Borsa Istanbul, using data of 27 listed companies over the period 2004-2015. Value Added Intellectual Coefficient (VAIC) method is utilized as a measure of intellectual capital (IC). Methodology- An OLS regression is used to examine the impact of intellectual capital (VAIC); Human capital efficiency (HCE), Structural capital efficiency (SCE), and Capital employed efficiency (CEE) on market, productivity, and financial performance. Findings- The findings show that SCE consider as a key role of value creation in real estate companies where has a positive significant relation with MB, ROE, and EPS before the crisis and with ROA and ROE after the crisis. HCE show a positive significant relation with ROA and ROE before the crisis and a negative significant association with MBand ATO after the crisis. CEE show a negative significant impact on ATO after the crisis. VAIC shows a significant positive impact on ROA, ROE, and EPS before the crisis, while it has the same relation with ROE after the crisis. Conclusion- Although the good result of using intellectual capital for value creation, real estate Turkish companies still weakly depend on its intellectual capital.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jian Xu ◽  
Jingsuo Li

PurposeThe purpose of this paper is to examine the impact of intellectual capital (IC) and its components (human, structural and relational capitals) on the performance of manufacturing listed companies in China. This paper also investigates the impacts of company ownership, industry attributes and region on the IC-performance relationship.Design/methodology/approachThe study uses the data of 953 manufacturing companies listed on the Shanghai and Shenzhen Stock Exchanges over the period 2012–2016. The modified value-added intellectual coefficient (MVAIC) model is applied to measure IC efficiency. Finally, multiple regression analysis is employed to test the research hypotheses.FindingsThis study reveals that IC can enhance firm performance in China's manufacturing sector. Overall, earnings are affected by physical capital, human capital (HC) and structural capital (SC), and profitability and productivity are influenced by physical capital, HC, SC and relational capital. Physical capital is the most influential contributor to firm performance. In addition, state-owned enterprises have a greater impact of IC on firm performance than private-owned enterprises; high-tech manufacturing companies have higher IC performance than non-high-tech manufacturing companies; manufacturing companies in China's eastern region have higher IC performance than the counterparts in central and western regions.Practical implicationsThe findings may help managers, stakeholders and policymakers in developing countries to effectively and efficiently manage their IC resources.Originality/valueThis is the first study to evaluate IC and its relationship with firm performance among Chinese manufacturing listed companies using the MVAIC model.


2020 ◽  
Vol 32 (3) ◽  
pp. 383-404 ◽  
Author(s):  
Amina Buallay ◽  
Allam Mohammed Hamdan ◽  
Sameh Reyad ◽  
Sherine Badawi ◽  
Araby Madbouly

Purpose This study aims to examine the impact of intellectual capital (IC) efficiency on bank’s operational, financial and market performance. Design/methodology/approach The study examined 59 banks for 5 years to ends up with 295 observations. The independent variable is the modified value added IC component; the dependent variables are performance indicators (return on assets [ROA], return on equity [ROE] and Tobin’s Q [TQ]). Findings The findings deduced from the empirical results demonstrate that there is a positive relationship between intellectual capital efficiency and financial performance (ROE) and market performance (TQ). Originality/value The results of this study may give a wake-up call for banks to examine the reasons of imperfect relationship between the IC and asset efficiency (ROA).


2020 ◽  
Vol 21 (3) ◽  
pp. 381-401 ◽  
Author(s):  
Irene Wei Kiong Ting ◽  
Chunya Ren ◽  
Fu-Chiang Chen ◽  
Qian Long Kweh

PurposeThe question of whether intellectual capital (IC) is beneficial to firm performance is debatable because of the diverse effects of IC and its components on firm performance. Building on the concept of pay–performance relation, this study aims to provide new insights into how changes in IC affect changes in firm performance.Design/methodology/approachData envelopment analysis is employed to measure firm performance, and value-added intellectual coefficient (VAIC™) is selected to evaluate the IC and its components, namely human capital efficiency (HCE), structural capital efficiency (SCE), and capital employed efficiency (CEE). Ordinary least squares regression is applied to study the relationship between changes in IC and changes in firm performance using 6,408 firm-year observations of electronics companies listed in Taiwan from 2006 to 2017.FindingsEmpirical results suggest that IC efficiency and CEE significantly and negatively affect firm performance, thereby suggesting a contradictory common sense with the resource-based view on the beneficial effects of IC. However, changes in IC efficiency and HCE are significantly and positively related to changes in firm performance, including changes in firm efficiency and sales growth.Practical implicationsThis study suggests that managers should continuously pay attention to adjusting their IC, especially human capital (HC) for better decisions that help grow firm performance. Moreover, investors can grasp how sensitive firm performance is to IC.Originality/valueThis study argues the relationship between IC and firm performance in the same vein as a pay-for-performance link, suggesting that future studies should account for increases or decreases in IC.


2018 ◽  
Vol 19 (5) ◽  
pp. 915-934 ◽  
Author(s):  
Gianluca Ginesti ◽  
Adele Caldarelli ◽  
Annamaria Zampella

Purpose The purpose of this paper is to analyse the impact of intellectual capital (IC) on the reputation and performance of Italian companies. Design/methodology/approach The paper exploits a unique data set of 452 non-listed companies that obtained a reputational assessment from the Italian Competition Authority (ICA). To test the hypotheses, this study implemented several regression analyses. Findings Results support the argument that human capital efficiency is a key driver of corporate reputation. Findings also reveal that companies, which obtained reputational rating under ICA scrutiny, show a positive relationship between IC elements and various measures of financial performance. Research limitations/implications The study focuses on a single country; it is not free from the imprecisions of Pulic’s VAIC model. Practical implications This paper recommends companies that are interested to achieve a robust reputation should consider the human capital as a strategic intangible asset. Second, the results suggest that companies with an ICA reputational rating are able to leverage their intangibles to potentiate performance and competitiveness. Originality/value This is the first empirical investigation on the contribution of IC in generating value for corporate reputation. Additionally, the study contributes to the literature on the link between IC and performance by examining a sample of firms not yet explored in prior research.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kanishka Gupta ◽  
T.V. Raman

PurposeIntellectual capital (IC) has been recognized in improving the efficiency of businesses and gaining competitive edge in the developed world. The present study offers perspectives into the effect of IC on the efficiency of the Indian financial sector companies.Design/methodology/approachFor the purpose of evaluating efficiency, the research has used stochastic frontier analysis (SFA). All Indian financial sector companies listed in National Stock Exchange (NSE-500) for the timeframe of ten years (2008–2018) have been considered. The paper has employed modified Pulic's Value Added Intellectual Coefficient (VAICTM) as a proxy to measure IC. Correlation and panel data regression have been used in order to examine the relationship.FindingsThe results of the study indicate positive and significant relationship between IC and efficiency of the firm. The results also show that all the components of IC, that is, human capital, relational capital, process capital and capital employed have a significant impact on firms' efficiency. Additionally, it has been seen that sample companies do not invest in research and development leading to no innovation capital.Practical implicationsThe research will assist managers in managing and controlling the IC, investors in matters related to investment and financial experts in improving the company's IC and value creation.Originality/valueThe current research is one of the pioneering studies in the context of Indian financial sector that examines the impact of modified VAIC on operational efficiency calculated using SFA.


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