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This study investigates the effect of intellectual capital (IC) and its components on the technical efficiency of Indian commercial banks after controlling the influence of bank-specific and macroeconomic variables.

The study selects a sample of 37 listed Indian commercial banks from 2005 to 2019 and uses the two-step data envelopment analysis (DEA) approach. Banks' technical efficiency scores are first estimated, while the relationship between IC and technical efficiency is examined in the second stage using the panel data Tobit model.

This study's findings suggest a fluctuating trend in the technical efficiency of Indian banks. Notably, from 2015 onwards, a declining technical efficiency trend is observed for all banks. However, private-sector banks outperform public-sector banks in terms of technical efficiency. This study's regression analysis indicates a positive relationship between IC and banks' technical efficiency scores. Further, by decomposing IC into its components like human capital, structural capital and capital employed, the study's findings show that human capital and structural capital enhance banks' technical efficiency. Notably, capital employed reduces technical efficiency. Moreover, bank size, diversification, capitalization, net interest margin and the country's growth rate significantly drive Indian banks' efficiency. In contrast, their operating cost ratio and the country's inflation negatively influence the same.

This study makes a novel endeavor to examine the IC and bank's technical efficiency nexus in the Indian context, encompassing a period of landmark banking reforms.

This paper aims to explore the awareness of terminology related to intellectual capital (IC) among executives of Indian banks and the sources in which they mostly find IC-related terminology. The paper also explores relative and specific contributions of each selected source of information in creating IC awareness among bank executives in India and determines difference among the executives from the public and private sector.

This research paper follows a survey-based approach to capture the perceptions of Indian bank managers working middle and top management across different banks. Regression analysis and ANOVA were applied to data from 166 responses.

The study finds that IC awareness among Indian banking executives is reasonably high and is equally spread across the three sub-categories of capital (external capital, human capital and internal capital), though the relative awareness of external capital is on the higher side. However, the sources of awareness of IC terminology differ among executives from the public- and private-sector banks.

The sample was limited to middle and top managers in the Indian banking industry and suffers from the usual limitations of survey-based research such as the design of the survey instrument and the personal biases of the respondents. Some limitations may also have arisen because of the definitions of IC elements adopted by this study.

This research adds a new dimension to the IC research by exploring the practical application and awareness of IC that deviates from traditional annual report-based disclosure and valuation studies. No existing literature has examined the survey-based awareness study, particularly on the banking industry. This paper provides a foundation for future studies that examine the operational awareness and application of IC in the service industries.

The paper seeks to estimate and analyze the Value Added Intellectual Coefficient (VAIC™) for measuring the value‐based performance of the Indian banking sector for a period of five years from 2000 to 2004.

Annual reports, especially the profit/loss account and balance‐sheet of the banks concerned for the relevant years, were used to obtain the data. A review is conducted of the international literature on intellectual capital with specific reference to literature that reviews measurement techniques and tools, and the VAIC™ method is applied in order to analyze the data of Indian banks for the five‐year period. The intellectual or human capital (HC) and physical capital (CA) of the Indian banking sector is analysed and their impact on the banks' value‐based performance is discussed.

The study confirms the existence of vast differences in the performance of Indian banks in different segments, and there is also an improvement in the overall performance over the study period. There is an evident bias in favour of the performance of foreign banks compared with domestic banks.

All 98 scheduled commercial banks are studied as per the information provided by the Reserve Bank of India (RBI)/India's Apex bank. Regional rural banks (RRBs), a segment of the indian banking sector, are not dealt with in the study since their number is large (more than 200), but they contribute only 3 percent of the market of Indian banks. This paper is a landmark in Indian banking history as it approaches performance measurement with a new dimension.

The paper has strong theoretical foundations, which have a proven record and applications. The methodology adopted has been research tested. Domestic banks in India are provided with a new dimension to understand and evaluate their performance and benchmark it with global standards. The paper also has policy implications, as it reflects the lop‐sided growth of a few sections in the Indian banking segment.

The paper represents a pioneering and seminal attempt to understand the implications of the business performance of the Indian banking sector from an intellectual resource perspective.

The purpose of this paper is to explore how organization’s resources and community aspects shape intellectual capital (IC) performance in developing countries. In fact, it is still unclear to what level organizational aggregation can influence forms of IC performance in the simultaneous presence of strong traditional legacy and eagerness for development.

The study is based on a project of aggregation of artists in Kenya. It uses a mixed methods approach.

The analysis first documents that multiple capital resources, i.e., human, social, and organizational contribute to improve IC performance. Social and organizational resources have the largest positive effects. This study then supports the importance of community aspects in fostering IC performance. In this light, it appears to facilitate knowledge interaction and interrelationship networks rather than accentuate possible pre-existing groups’ rivalry.

The results are inferred from a single case study, and so the reader is given the caveat that the results cannot be easily generalized. The evidence gathered can represent a useful ground on which to build future studies comparing different legal, social, cultural, and economic contexts.

This study gathers insights on how organization’s resources can lead to IC performance in developing countries and in a setting characterized by a high degree of institutional complexity. It also addresses the call for more research on programs implemented at local level to leverage IC and to valorize traditional knowledge in a sustainable and concrete way.

Evidence on IC in developing countries is still scant, besides their potential for growth. This study attempts to address this gap. Moreover, it pays attention to the context by analyzing the community aspects. Finally, the use of mixed methods further validates previous evidence on the relationship between organization’s resources and IC performance.

In this study, the moderator effect of the use of big data by Turkish banks on the innovation performance of the intellectual capital components, human capital, structural capital, and relational capital is discussed.

In the research, 618 survey data applied to bank employees and weighted according to population in seven regions were used. The data were analyzed through the structural equation model.

According to the empirical results, intellectual capital components and big data usage explain 65% of the variance in innovation performance. It has been determined that the other two components of intellectual capital, except structural capital, have a statistically significant effect on innovation performance. According to the Standardized Regression Weights, one unit change in human capital affects innovation performance by 0.162, and one unit change in relational capital affects innovation performance by 0.244. In addition, a one-unit change in big data usage affects innovation performance by 0.480. It has been understood that the use of big data significantly affects the innovation performance of banks with a rate of 0.480.

Although this study is important, it could have been done with senior managers instead of being based on a survey. Instead of a survey, it could have been done with a data set taken from banks' balance sheets and tables. Additionally, the use of big data has been considered as a moderator but can be reconsidered as a mediator or external construct. Moreover, this study was conducted on a sample of participants working in the developing Turkish commercial banking sector. Therefore, the results of the study can be done in different countries and at different development levels.

The study is one of the first studies to examine the moderating effect of intellectual capital by considering its subcomponents in a developing country. In addition, it is thought that the results will contribute to managers, policy makers and researchers who want to increase competition and market share in the sector, as well as filling the gap in the literature.

Utilizing a multi-theoretical framework, this study aims to investigate the impact of board gender and nationality diversity on the extent of intellectual capital disclosure. Additionally, it seeks to explore the moderating role of financial literacy among audit committee members on the aforementioned relationship.

To empirically test the study’s framework, a panel dataset of listed firms on the Palestine Stock Exchange (PEX) spanning 12 years (2010–2022) was utilized. To address potential endogeneity issues and ensure robust findings, a battery of econometric estimators was employed, including ordinary least squares (OLS), one-step system generalized method of moments (GMM), lagged independent variables and a sub-index model.

The study findings make a significant contribution to existing intellectual capital literature. Specifically, the results reveal that the positive influence of board gender and nationality diversity on the extent of corporate intellectual capital disclosure is stronger when there is a high proportion of audit committee financial literacy. Additionally, the study distinguishes between overall index and sub-index analyses. Interestingly, the findings from the sub-index analysis, focusing on structural capital, relational capital and human capital, are somewhat similar to the results of the full index analysis.

To the best of the authors’ knowledge, this study represents the first empirical attempt to uncover the impact of financial literacy among audit committee members on the relationship between board diversity and intellectual capital disclosure.