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This paper has two purposes: to identify and explain the major forces that are causing the increasing need for operational reporting and intellectual capital (IC) reporting for European companies; and to identify the necessary and sufficient conditions for operational and intellectual capital reporting if such reporting is to be meaningful for information users.

The approach for this paper has been to examine relevant papers, reports, guidelines, compendiums, annual reports, opinions, submissions and legislation.

Eight determining forces are identified that make the basis of the case for the provision of operating and IC information: the long‐standing global dominance and growth of the US economy; the emergence of business models other than the value chain (especially the emergence of network businesses); the changing nature of stock exchanges; the influence of different investment fund types (mutual, pension and hedge funds); the roles of buy‐side and sell‐side analysts; global and European investment index development; rating agency activity; and financial reporting and corporate governance regime development.

The eight forces are interdependent and immutable. Comprehensive operational and IC reporting are unavoidable. Accordingly, the authors propose that the necessary and sufficient conditions for adequate enterprise information reporting are: a legal requirement for mandatory operational and IC reporting and attendant regulatory framework(s) where the legal framework is based on the concept of neglect; key operating and IC resource status and activity performance definitions and metrics that reflect the enterprise's underlying business model(s); and (3) a mapping of the capitalized operational and IC investments that are by definition normally expensed to the financial report accounts.

The authors believe that no one has previously formally proposed a mandatory operational and IC reporting requirement; a legal reference frame of reference based on the legal concept of neglect; standard definitions for operational and IC performance metrics; a reference framework for information quality that is, inter alia, based on the consistency, comparability and comprehensiveness of reported metrics; and the requirement to map all capitalized IC resources back to the financial reports of the company.

Prior research has shown that operational intellectual capital (OIC) and investments in lean practices (ILP) lead to better operational performance. However, there have been no empirical studies on the synergetic effects between OIC components and ILP. More specifically, the question – can the efficacy of ILP be increased through OIC? – has not been studied. Accordingly, the purpose of this paper is to report the empirical results of potential synergetic effects between OIC, as a knowledge-based resource, and ILP.

The empirical data used for this study were drawn from the fifth round of the Global Manufacturing Research Group survey project (with data collected from 528 manufacturing plants). The hypotheses are empirically tested using three ordinary least square (OLS) models.

The authors’ findings highlight the importance of leveraging a system of complementary knowledge-based resources (OIC dimensions) and addresses the need for the reformulation of lean theory in terms of the emergent knowledge-based view of the firm. The results facilitate greater understanding of the complex relationship between ILP and operational performance. Building on the contribution of Menor et al. (2007), the authors argue that OIC represents a strategic knowledge-based resource that is valuable, hard to imitate or substitute and, when leveraged effectively, generates superior operational and competitive advantage.

From a managerial standpoint, this study provides guidelines for managers on how to leverage OIC to enhance the efficacy of ILP. The authors argue that firms consider investing in OIC to increase the return from ILP, which, in turn, will enhance their operational performance and provide competitive advantage. The authors findings provide strong evidence of the importance of human, social and structural capital to enhance the efficacy of ILP.

This is the first research paper that extends the application of the intellectual capital theory in lean literature, and argues that the OIC contributes to the efficacy of ILP. The analysis facilitates greater understanding of the complex relationship between OIC dimensions, ILP and operational performance.

This research aims to examine the impact of intellectual capital on zakat performance in Indonesia.

The sample examined in this study consists of 39 zakat management organizations, encompassing 241 observations from 2010 to 2022. Zakat performance is measured using zakat excess efficiency score to align with the characteristics of zakat management organizations. The independent variables in this study are proxied by the components of intellectual capital. Data is analyzed using a panel data estimation technique.

The empirical findings indicate that human capital efficiency and capital employed efficiency positively and significantly impact zakat performance. In contrast, structural capital efficiency does not impact zakat performance. Meanwhile, value added intellectual coefficient positively and significantly impacts zakat performance.

The findings in this study highlight the significance of managing intellectual capital in zakat management organizations. Furthermore, this research provides input to mandate the amil to undergo certification, develop information technology in zakat management, and enhance synergy among zakat management organizations in zakat distribution. Additionally, zakat regulators must oversee and standardize zakat management according to what is stipulated in the zakat core principles.

This is one of the first studies using secondary data to examine intellectual capital and zakat performance in Indonesia.

The purpose of this paper is to examine the impact of intellectual capital and its components on bank diversification choice.

Both asset and income diversification are computed and an unbalanced panel data set of 32 banks covering the period 2000–2015 have been used. The panel corrected standard error regression has been used to account for serial correlation and heteroscedasticity.

The study found that intellectual capital determines the choice of diversifying. Precisely, intellectual capital motivates asset diversity but it dissuades income diversification. Human capital and structural capital are major components that determine asset diversity decisions. Income diversification decision, in this case to choose a focus strategy, is determined by human capital. This gives credence for the human capital theory in Ghana. Competition encourages a focus strategy. Bank size and leverage enhances income diversification while stock exchange listing and government ownership fosters the focus strategy.

Diversification strategy, knowledge base of staff, corporate governance and internal control have been considered as factors leading to the collapse of some Ghanaian banks in 2017–2018. The study provides relevant insights for regulators, decision support units and corporate boards. Intellectual capital and value added metrics should be used for modelling and decision making as they have value relevance.

This is a premier study that has examined the nexus between diversification strategy and intellectual capital in banks.

This paper aims to explore the relationships among several key constructs which link the individual’s motivation for knowledge acquisition to his affiliation with online knowledge networks, to further access the intellectual capital of the network as a prerequisite for organizational achievement.

An online survey with 227 members of higher education and research centers from 30 countries was carried out between July and September 2021. The data were analyzed by means of partial least squares structural equation modeling technique, using the statistics software package SmartPLS 3.0.

Individual motivation to acquire knowledge has a significant influence on the affiliation with online academic networks approached as online knowledge networks. Further, active engagement with the network’s intangible resources leads to a significant harnessing of the three-component intellectual capital, that is, human, structural and relational capital. Human and relational capital is proven to exert a significant effect on organizational achievements, whereas structural capital falls short of reporting a meaningful influence on the dependent variable.

This research adds new knowledge to the capitalization of online knowledge networks and its influence on organizational achievements via intellectual capital.

A novel perspective is advanced in which online knowledge networks are acknowledged as a pivotal bond and nonlinear integrator between the individual level of knowledge fields and organizational knowledge leveraged into organizational achievements.

This paper aims to investigate the impact of intellectual capital (IC) as a mediator variable on the association between corporate governance (CG) practices and firm performance. This study also examines bi-causality linkages between these variables.

The designated corporate governance index and the value-added intellectual coefficient method were used to assess the level of CG practices and the performance of IC. Tobin’s Q (TQ) and operating efficiency ratio were used to measure firm performance.

The aggregate CG score has a significant positive impact on the IC and the two measures of firm performance. However, the IC has only a partial mediation effect on the relationship between the aggregate corporate governance score and a firm’s operational efficiency ratio. The IC has partial and full mediation effects in the relationship between the sub-dimensions of corporate governance and the performance of Egyptian corporates. Moreover, a bi-causality relationship can be observed between CG and TQ.

Generalizing the obtained results would require the sample size to be extended.

The findings should alert legislative institutions and practitioners of the need to comply with good CG practices and develop the efficiency of IC to elicit a firm’s superior performance.

This study is one of the first attempts to investigate the causality relationships and the mediation impact of IC on the relationship between CG practices and corporate performance in the Egyptian context.

This study develops a robust model to measure intellectual capital efficiency (ICE). It also analyzes ICE across Gulf companies, sectors and countries.

This study uses data envelopment analysis (DEA), the Malmquist productivity index (MPI), difference tests and additional analyses on a dataset consisting of 276 firm-year observations.

The findings indicate that the study model is robust to additional analysis. The results show significant differences in ICE between firms during the study period and noteworthy differences between countries, where the Qatari and Bahraini firms achieved the best ICE compared to other countries.

The results of this study have significant ramifications for increasing knowledge of ICE analysis models among relevant parties. In addition, the findings may affect trading strategies because investors and financiers are motivated by the potential for lucrative financial returns on their investments in companies that prioritize ICE strategies.

This research contributes to the literature by proposing a robust model for estimating the ICE. It also compares ICE across Gulf companies, industries and countries to shed light on their ICE challenges.

This study explores the mechanism by which intellectual capital (IC) [i.e. human capital (HC), structural capital (SC) and relational capital (RC)] influences small and medium-sized enterprise (SME) efficiency in the presence of business model innovation (BMI) as a mediator.

Data collection is conducted through a survey completed by 319 owners and top managers of SMEs operating in the manufacturing sector in three cities in Pakistan. A simple random sampling method is used. A structural equation modeling artificial neural network (SEM-ANN)-based approach is applied to evaluate the role of IC predictors. The mediation results are authenticated using PROCESS.

The results indicate that HC, SC and RC significantly influence SME efficiency and BMI. Furthermore, BMI fully mediates the relationship between human capital and SME efficiency, while partially mediating the relationship between structural capital and SME efficiency, as well as between SC and SME efficiency.

This study pioneers research into the link between IC and SME efficiency. It contributes to the literature by defining IC as an antecedent of SME efficiency. It further contributes to the literature by defining IC as an antecedent and BMI as an intervening variable of SME efficiency.