Examining the relationship between intellectual capital and financial performance: an empirical study of service and manufacturing sector of India

Author(s):  
Raman Deep Singh ◽  
Karam Pal Narwal
2012 ◽  
Vol 02 (08) ◽  
pp. 24-31
Author(s):  
Chokri ZEHRI ◽  
Asma ABDELBAKI ◽  
Najla BOUABDELLAH

The impact of intellectual capital on firm performance is still poorly defined. In this paper, we try to find the relationship between intellectual capital and business performance from the standpoint of financial performance, the marketplace and economics. We conduct a study of the literature on this subject and we announce our research hypotheses. Our empirical study use a sample of 25 companies listed on the stock market in Tunisia. By using a panel’s data we perform the necessary tests for obtaining robust results. The main objective of this study is to determine an exact impact of intellectual capital on the performance of these companies.


2014 ◽  
Vol 5 (3) ◽  
pp. 300-340 ◽  
Author(s):  
Stephen Korutaro Nkundabanyanga ◽  
Joseph M. Ntayi ◽  
Augustine Ahiauzu ◽  
Samuel K. Sejjaaka

Purpose – The purpose of this paper is to examine the mediating effect of intellectual capital on the relationship between board governance and perceived firm financial performance. Design/methodology/approach – This study was cross-sectional. Analyses were by SPSS and Analysis of Moment Structure on a sample of 128 firms. Findings – The mediated model provides support for the hypothesis that intellectual capital mediates the relationship between board governance and perceived firm performance. while the direct relationship between board governance and firm financial performance without the mediation effect of intellectual capital was found to be significant, this relationship becomes insignificant when mediation of intellectual capital is allowed. Thus, the entire effect does not only go through the main hypothesised predictor variable (board governance) but majorly also, through intellectual capital. Accordingly, the connection between board governance and firm financial performance is very much weakened by the presence of intellectual capital in the model – confirming that the presence of intellectual capital significantly acts as a conduit in the association between board governance and firm financial performance. Overall, 36 per cent of the variance in perceived firm performance is explained. the error variance being 64 per cent of perceived firm performance itself. Research limitations/implications – The authors surveyed directors or managers of firms and although the influence of common methods variance was minimal, the non-existence of common methods bias could not be guaranteed. Although the constructs have been defined as precisely as possible by drawing upon relevant literature and theory, the measurements used may not perfectly represent all the dimensions. For example board governance concept (used here as a behavioural concept) is very much in its infancy just as intellectual capital is. Similarly the authors have employed perceived firm financial performance as proxy for firm financial performance. The implication is that the constructs used/developed can realistically only be proxies for an underlying latent phenomenon that itself is not fully measureable. Practical implications – In considering the behavioural constructs of the board, a new integrative framework for board effectiveness is much needed as a starting point, followed by examining intellectual capital in firms whose mediating effect should formally be accounted for in the board governance – financial performance equation. Originality/value – Results add to the conceptual improvement in board governance studies and lend considerable support for the behavioural perspective in the study of boards and their firm performance improvement potential. Using qualitative factors for intellectual capital to predict the perceived firm financial performance, this study offers a unique dimension in understanding the causes of poor financial performance. It is always a sign of a maturing discipline (like corporate governance) to examine the role of a third variable in the relationship so as to make meaningful conclusions.


Author(s):  
Janeth N. Isanzu

This study examines intellectual capital (IC) performance of banks operating in Tanzania,and investigates the relationship of IC on financial performance. It identifies the IC componentsthat may be the drivers of the traditional indicators of bank success. The study uses the ValueAdded of Intellectual Coefficient VAIC™ methodology, to measure the Intellectual Capitalefficiency of the Banks using a four years period data set from 2010 to 2013. The results of asurvey, show that intellectual capital performance of Tanzania is low and it is positively associatedwith bank financial performance indicators. However, when VAIC is split into its components, therelationships between these components and bank financial performance indicators vary. Threevalue efficiency indicators, Human Capital Efficiency (HCE), Capital Employed Efficiency (CEE) andStructural Capital Efficiency (SCE) which are the components of VAIC™ ratio, were used in theanalysis.


2019 ◽  
Vol 20 (4) ◽  
pp. 453-471 ◽  
Author(s):  
Yanyu Wang ◽  
Xin Su ◽  
Huan Wang ◽  
Renyu Zou

Purpose As the carrier of knowledge, intellectual capital plays a crucial role in technology capability. However, most of the previous studies focus on technological capability from a static perspective, rather than take dynamic technology capability into consideration. Based on this research gap, the purpose of this paper is to investigate the effects of intellectual capital and its sub-dimensions on dynamic technology capability, measuring by the factor scores of five technological input and output variables. Design/methodology/approach The authors combine the system dynamic method and empirical study to guarantee the internal and external validity. Specifically, the authors design the system dynamic model and simulation to analyze the system mechanism of intellectual capital and its sub-dimensions on dynamic technology capabilities from four cause and effect feedback loops. Then, the authors propose eight hypotheses based on this system dynamic model. In the empirical test phase, the authors employed a panel data set pertaining to Chinese manufacturing firms from 2007 to 2017, and adopted the fixed effect panel model according to Hausman test. Findings The authors find that intellectual capital efficiency (ICE) and its sub-dimensions (i.e. human capital efficiency, organizational capital efficiency and capital employed efficiency (CEE) have significantly positive impacts on dynamic technology capability. The results also show that the positive effects of ICE and OC on dynamic technology capability would be strengthened in state-owned enterprises compared with non-state-owned enterprises, while this moderation effect is weakened on the relationship between CEE and dynamic technology capability. Originality/value In this study, the authors first introduce the system dynamic method to explore the relationship of intellectual capital and dynamic technology capability, which is a valuable trial on combining system science and empirical study. Additionally, the authors continue to expand the dynamic technology capability from the intellectual capital perspective, and also find the moderating effect from the ownership aspect. It is beneficial to the theoretical development of intellectual capital and dynamic technology capability. Furthermore, the authors provide significant inspirations and implications for enterprise’s managers.


Sign in / Sign up

Export Citation Format

Share Document