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Intellectual capital, as used here, is a concept that deals with intellectual property concepts, like patents and licences, but also includes less tangible assets like know‐how, skills and information systems. The need to measure the amount of intellectual capital in an organization has grown in importance. The worth or value of an organization cannot be given by the values in the balance sheet alone. Just as the use of discounted cash‐flow analysis is being accepted as a more reliable measure of value and will eventually replace other accounting‐based valuations, the value of intellectual capital will need to be measured and determined. Intellectual capital will also be a useful concept for setting corporate goals and strategies. Describes some current conceptions of intellectual capital and looks at ways of measuring intellectual capital. Compares intellectual capital valuation with financial cash flow valuation. Suggests that additional studies regarding the measurement of intellectual capital are still needed, and recommends, when good measures of intellectual capital are not available, the use of indicators as a means of indicating that intellectual capital is present or growing.

Based on resource-based theory and intellectual capital theory, this paper aims to investigate the impact of digital investment on enterprise value and the mediating role of intellectual capital. Additionally, it explores the heterogeneous impacts of digital investment on enterprise value and intellectual capital.

The study utilizes a sample of listed companies in Chinese A-shares from 2013 to 2020. The entropy-weighted method is applied to measure digital investment from two dimensions: scale and increment. Finally, the research hypotheses are tested through multiple regression analysis.

The empirical results demonstrate that digital investment significantly and positively impacts enterprise value. From the channel mechanism test, digital investment can enhance enterprise value by influencing intellectual capital through human, structural and relational capital. Of these, the mediating effect of human capital is the most significant. Moreover, the impacts of digital investment on enterprise value and intellectual capital are related to the industry sectors. In the agricultural sector, digital investment has adverse effects. In the industrial and service sectors, digital investment promotes intellectual capital and enterprise value. However, in the service sector, the impact on relational capital is not significant, and the mediating effect of relational capital does not hold.

This research has a limited potential for generalization due to the lack of standard measurement models for the exploration of digital investment.

The research findings are valuable for assessing the economic effects of digital investment comprehensively and providing essential information for policy formulation and strategy implementation.

This study represents the first attempt to evaluate the relationship between digital investment and enterprise value using the entropy-weighted method. In addition, this study investigates the mediating role of intellectual capital.

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 enrich the scientific and managerial debate on intangibles by placing the concept of key money within the broader concept of Intellectual Capital, and by proposing an evaluation approach for a portion of the latter, focusing the analysis on fashion retailers.

This research focuses on the fashion industry, given that key money gains particular significance and accounted for in fashion retailers' financial statements. A comparative case study is presented with regard to the application of two evaluation methods proposed to some fashion retailers operating in Italy.

This paper defines a suitable placement for key money within the vast structure of intellectual capital. The research shows that the two methods give “very close” key money values, thus laying the foundations for a theoretical articulation of interest to be further explored in future researches.

The document represents a first in-depth examination regarding the evaluation and inclusion of key money in the intellectual capital. A further element of originality lies in having interpreted the key money in a perspective closer to the world of intangibles and competitive strategies, to the detriment of the previous (meagre) settings that placed it within the real estate branches of study.

The purpose of this paper is to analyze the role of intellectual capital (IC) and its relationship with financial performance of Iran insurance companies during the period 2005‐2007.

In total, 39 insurance companies were selected as the sample. Regression model (partial least squares) has been applied to examine the relationship between IC and companies' return on assets ratio (ROA).

The results of the research revealed that value added intellectual capital and its components have a significant positive relationship with companies' profitability.

The VAIC™ method could be an important means for many decision makers to integrate IC in their decision‐making process, which allows insurance companies to benchmark themselves according to the IC efficiencies and develop strategies to enhance their company's performance.

This is the first research, which has used the data on value added recently calculated and published by Iran insurance firms in the “Value Added Scoreboard”.

The purpose of this paper is to illustrate how the emergent properties perspective from the field of biology can be applied to the field of intellectual capital. Much attention has in recent years been directed towards problems of accounting for intellectual capital and how the value of intellectual capital at one level of an organization influences the value of intellectual capital at higher or lower levels of the organization.

Through a literature review an emergent properties framework was developed. This framework was applied to an intellectual capital perspective with empirical illustrations.

In this paper, it is argued that the inherent difficulties of understanding the interdependencies of intellectual capital across different levels of an organization can be traced to a lack of understanding of the differences between synergetic effects, causal relationships and emergent properties. The paper illustrates through examples how an emergent properties perspective can be mobilized in relation to the field of intellectual capital.

The paper is conceptual in nature and reports the theoretical propositions from an ongoing empirical project. The lack of empirical content limits the strength of the conclusions.

The paper is a step in the direction of enhancing the understanding of the different levels of intellectual capital by applying the biological perspective of emergent properties. Although this perspective in itself may not constitute a general testable theory of intellectual capital, it is the hope, at least, that it may provoke thought, development and further research in this field.

The purpose of this study is to analyse the validity of the value added intellectual coefficient (VAIC) method as an indicator of intellectual capital.

The paper describes VAIC through its calculation formulae and aims to establish what exactly it is that the method measures. It also looks in detail at how intellectual capital is understood in the method, and discusses its conceptual confusions. Furthermore, the paper tests the hypothesis according to which VAIC correlates with a company's stock market value, and reflects the contradictory results of earlier studies.

The analyses show, first, that VAIC indicates the efficiency of the company's labour and capital investments, and has nothing to do with intellectual capital. Furthermore, the calculation method uses overlapping variables and has other serious validity problems. Second, the results do not lend support to the hypothesis that VAIC correlates with a company's stock market value. The main reasons behind the lack of consistency in earlier VAIC results lie in the confusion of capitalized and cash flow entities in the calculation of structural capital and in the misuse of intellectual capital concepts.

The analyses show that VAIC is an invalid measure of intellectual capital.

The result is important since the method has been widely used in micro and macro level analyses, but this is the first time it has been put to rigorous scientific analysis.

The debate on the determinants of firm value is ongoing; and the increasing gap in the book‐to‐market ratio (Lev & Sougiannis 1999) has yet to be explained in the financial literature. This article contributes to the debate by examining whether intellectual capital measured using the value added intellectual coefficient (VAICTM) (Pulic 1998) contributes to the explanation of the book‐to‐market ratio. This study used Ohlson’s 1995 valuation model and JSE Securities Exchange (SA) (JSE) data in an attempt to identify whether the book value of assets, accounting (accrual) earnings and VAICTM explain the behaviour of South African share prices. The panel data least squares model results indicate a significant relationship between share prices three months after year end, and abnormal earnings, abnormal cash dividends, book value of assets, the capital employed coefficient, and the human capital coefficient.

The aim of this paper is to propose extended intellectual capital (IC) indicators. The study shows that the essence of IC in the context of value is residual income, its growth rate and growth rate of equity taken together. It allows creating IC measures (modified residual income and economic value added of equity) that contain these components. The study investigates the relationship between IC and market value for Russian public firms.

The authors propose modified residual income and modified economic value added of equity as IC metrics. This study tests a relationship between market value and IC to investigate suggested metrics. Static and dynamic panel data models are used. 25 companies from the MOEX Russia Index were included in the study. The study covers the period from 2014 to 2018.

The findings show a strong positive relationship between market value and IC. The results confirm that extended IC measures have a stronger connection to market value.

Firstly, these results benefit managers. They can use proposed extended IC measures as targets for the company when planning business strategy and generating business environment. Secondly, suggested IC measures can help shareholders and investors achieve their long-term goal – wealth maximization.

The value of this article is the development of IC theory and valuation. The proposed measures differ in the way that they consider the growth rates – the main determinants of value along with efficiency.

The purpose of this paper is to investigate the measurement and the management of the dynamic aspects of intellectual capital through the use of causal mapping.

The paper details the methods utilized in a single in-depth case study of a network-based business model.

The paper illustrates how causal mapping can be used to understand how intellectual capital really works in the specific business context in which it is deployed. Moreover, exploiting the causal map as a platform for extracting a set of indicators can provide information on the length of the lag and the persistence of the effects of managerial actions. In addition, it can signal when and how to refine and update the causal map. The combination of these factors can potentially support the dynamic measurement and management of intellectual capital.

The paper presented has two main limitations. First, the use of a single case study to provide in-depth and rich data limits the generalizability of the observations. Second, the proposed approach has not been implemented in practice. Future research opportunities include interventionist-type case studies that put the causal mapping approach into practice.

The paper highlights the need to build causal maps to enhance the measurement and management of intellectual capital, which is dynamic in nature. As a consequence, this tool can be useful for monitoring the intangibles of companies and networks and to better understand the contribution their intellectual capital makes to the value creation process.

The paper openly questions the measurement of the fluid and dynamic aspects of intellectual capital. It proposes a tool for governing these aspects and it suggests that even the existing intellectual capital measurement systems can improve their usefulness by including these dimensions. So, a shift in intellectual capital measurement is prescribed.