Search results

The purpose of this paper is to investigate the determinants of intellectual capital performance in the UK banks over the period 1999‐2005.

Multiple regression analysis is used to test the relationship between the intellectual capital performance as a dependent variable and certain independent variables.

Results indicate that the standard variables, bank profitability and bank risk, are important. The results also show that investment in information technology (IT) systems, bank efficiency, barriers to entry and efficiency of investment in intellectual capital variables, which have not been considered in previous studies, have a significant impact on intellectual capital performance.

More evidence is needed on the determinants of intellectual capital performance before any generalisation of the results can be made. In addition, the empirical tests were conducted only on the Major British Banks Group over the period 1999‐2005 and hence the results of the study cannot be assumed to extend beyond this group of banks or to different study periods.

The study might help the banking regulators in addressing the factors affecting intellectual capital performance to take actions towards developing their performance and in turn maximise their value creation.

This paper adds to the literature on the determinants of intellectual capital performance in banks. In particular, it tests the theories that investment in IT systems, bank efficiency, barriers to entry and efficiency of investment in intellectual capital have impact on intellectual capital performance.

This study aims to explore the mechanism by which intellectual capital and corporate social responsibility (CSR) influence the sustainable competitive performance of small and medium-sized enterprises (SMEs), with the mediating role of organizational innovation in an emerging economy.

The data collection was conducted through a survey completed by 208 owners and top managers operating in the service, trading and manufacturing sector SMEs, positioned within twin cities of Pakistan. Structural equation modeling (SEM) was utilized for data analysis.

The results of the study suggest that intellectual capital and CSR have a markedly positive influence on the sustainable competitive performance of SMEs. The organizational innovation appears to mediate these relationships.

This study pioneers research on the links between intellectual capital, CSR organizational innovation and sustainable competitive performance of SMEs. The current research contributes to the literature by defining intellectual capital and CSR as an antecedent and organizational innovation as an intervening variable for the sustainable competitive performance of SMEs. In addition, this study underlines the significance of intellectual capital and CSR activities as valuable intangible assets for the achievement of sustainable competitive performance of SMEs.

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.

This study was cross-sectional. Analyses were by SPSS and Analysis of Moment Structure on a sample of 128 firms.

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.

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.

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.

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.

This study aims to investigate the direct effect of intellectual capital on the organizational performance of Indonesian state-owned enterprises (SOEs) and their subsidiaries. Furthermore, it also examines whether the relationship is mediated by open innovation and moderated by organizational inertia.

This study is designed as quantitative research. A survey method is employed to collect data by distributing questionnaires to the upper-level managers of the SOEs and their subsidiaries. A total of 293 questionnaires were distributed to the respondents, and 97 responses were obtained for further analysis. The partial least square structural equation modeling (PLS-SEM) is used to test the hypotheses. A mediation-moderation research framework is employed.

The results show that intellectual capital has a positive effect on organizational performance. Further results also demonstrate that open innovation mediates the intellectual capital–organizational performance relationship and organizational inertia moderates the intellectual capital–organizational performance relationship. Theoretically, the findings contribute to the resource-based view (RBV) and knowledge-based view (KBV) by providing empirical evidence of the importance of distinctive internal resources in achieving superior organizational performance. Practically, the findings provide strategic information for managers that they should properly manage intellectual capital, open innovation and organizational inertia because of their effects on organizational performance.

First, this study addresses the previous research gaps by confirming that intellectual capital has a positive effect on organizational performance in the research setting of an emerging market. Second, by using a mediation research framework, this study shows that open innovation mediates the relationship between intellectual capital and organizational performance. Third, by using a moderating research framework, this study also reveals that organizational inertia weakens the relationship between intellectual capital and organizational performance. Those associations are rarely researched.

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.

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.

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.

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.

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.

The purpose of this paper is to link empirically the value of intellectual capital and intellectual property to firm performance.

Survey data from managers in the (German) pharmaceutical industry is used to conduct a regression analysis focusing on the correlation between human, structural and relational capital, intellectual property and firm performance.

The results of the study show that including intellectual property in models linking intellectual capital to firm performance enhances the statistical validity of such models and their relevance for management.

Intellectual capital is an important source of an organization's economic wealth and is therefore to be taken into serious consideration when formulating the firm's strategy. This strategy formulation process can be enhanced by fully integrating intellectual property and intellectual capital into management models, as shown in this paper.

This empirical paper builds on and extends the Bontis research on the relationship between intellectual capital and firm performance. Contrary to Bontis the authors include intellectual property into the intellectual capital framework and focus on the role of intellectual property in the relationship between intellectual capital and firm performance.

This article examines the relationship between board structure and the intellectual capital performance of South African publicly listed companies. Board composition was analysed in terms of gender and ethnic diversity, using cross‐sectional multiple regressions. The population of the study included all South African companies listed on the JSE Securities Exchange during 2003. The final sample, after the transformation of the data, consisted of 117 companies. The empirical results indicated a positive significant relationship between the percentage of ethnic members on the companies’ boards of directors and intellectual capital performance. Based on the results of this study, it is argued that South African publicly listed companies may be able to enhance their intellectual capital performance by using an ethnically diverse board of directors.

This research examines the influence of business strategy and intellectual capital on firm performance and bankruptcy risk of Oman's non-financial sector companies.

The data comprises 380 firm-year observations collected from 2015 to 2019 for the non-financial sector companies listed on the Muscat Securities Market. This study measures business strategy using the Miles and Snow typologies and Porter's strategies as alternative measures. The study uses the Granger-causality test to measure the bi-directional causality between independent and dependent variables. The authors use alternative measurements of business strategy and 2SLS/IV estimation to validate the OLS results.

According to the Miles and Snow typologies, most of Oman's non-financial firms were analyzers. The empirical results show a negative relationship between business strategy and return on equity (ROE), suggesting defender-type strategy leads to an increase in firm performance. The OLS results show no influence of A-VAIC on firm performance and Altman-Z score. The structural capital efficiency is positively associated with ROA, and Altman Z score consistent with the hypothesized relationship. The Granger causality test shows no inference of causality between any independent and dependent variables except for Z score and CEE.

The business strategy results from the firm performance and bankruptcy risk models are valuable to the researchers from an emerging market and non-financial companies' perspective. Oman's diversification strategy of its economic activities through non-financial sector companies receives an impetus through the findings of this study. As this study is limited to Oman's non-financial sector companies, future research on business strategy impact can be extended to the financial sector, other GCC, and emerging countries.

The findings of this study contribute to the sparse literature on business strategy in an emerging market like Oman. This study enriches the knowledge of business strategy typologies proposed by Miles and Snow, and Porter. It also contributes to the extant literature on firm performance and bankruptcy risk.

While the intellectual capital perspective has been widely applied to research in knowledge‐intensive industries, less attention has been paid to the healthcare sector. This exploratory study aims to investigate how hospitals view the importance of intellectual capital and performance in the healthcare sector. It identifies the elements and relative importance of intellectual capital and performance measurement in the Taiwanese healthcare industry.

This study was executed by a developmental process comprising four phases: the generation of critical elements; expert review and perceptual assessments of the elements; data collection; and data analysis. This study developed a preliminary checklist with detailed IC elements and performance indicators derived from both literature reviews and practices. The questionnaire was refined by expert review. The pilot study collected data from 30 healthcare managers.

The critical intellectual capital elements and performance indicators regarded as important for performance management practices in the Taiwanese hospital industry were identified. They reveal the relative importance and ranking of human, organizational and relational capitals, and performance indicators.

By using the intellectual capital navigator (ICN) and the Effector Plot, this study analyzed resource transformations and resource influence among human, organizational and relational capital. This study highlighted five noteworthy issues.

This study will contribute to both theory and practice. Theoretically, it generalizes IC in the healthcare setting and is a starting point for exploring healthcare IC and performance in Taiwan. Practically, it contributes to references for healthcare managers, giving a prioritized array of critical resources and performance measurements in practice.

This paper seeks to estimate and analyze the relationship between intellectual capital and corporate conventional financial performance measures of Indian software and pharmaceutical companies for a period of five years from 2002 to 2006.

Annual reports, especially the profit and loss accounts and balance sheets of the selected companies for the relevant years have been used to obtain the data. International literatures on intellectual capital with specific reference to measurement tools and techniques have been reviewed. Value Added Intellectual Coefficient^TM (VAIC) method is applied for measuring the value based performance of the companies. Corporate conventional performance financial measures used in this analysis are: profitability; productivity; and market valuation. It is an empirical study using multiple regression analysis for the data analysis. The intellectual capital (human capital and structural capital) and physical capital of the arbitrarily selected companies have been analyzed and their impact on corporate performance has been measured using multiple regression technique.

The analysis indicates that the relationships between the performance of a company's intellectual capital and conventional performance indicators, namely, profitability, productivity and market valuation, are varied. The findings suggest that the performance of a company's intellectual capital can explain profitability but not productivity and market valuation in India.

The study has been conducted on a small sample of 80 companies belonging to the India software and pharmaceutical sectors. For a better understanding, a larger data set covering all prominent industry segments will be helpful.

Intellectual capital is an area of interest to numerous parties, e.g. shareholders, managers, policy makers, institutional investors. This paper throws some light on the new performance indicator, which Indian managers can use in order to evaluate the corporate performance and benchmark it with global standards. This is useful particularly in the context of the “knowledge economic” environment.

The paper represents a pioneering attempt to understand the implications of the business performance of the Indian software and pharmaceutical sectors from an intellectual resource perspective.