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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.

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.

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 paper aims to analyse the relationship between intellectual capital and financial capital using a case study. This makes it possible to discuss how intellectual capital is related to value creation with a degree of nuance that is absent from most statistical studies of relationships between human, organisational, relational and financial capital.

The paper uses a case study of a firm that invests in intellectual capital in order to develop financial capital. It traces the relationship between intellectual capital elements and financial capital via interviews. This allows the development of a nuanced account of the performance of intellectual capital. This account questions the universality of the linear model typically found in statistical studies. The model makes it possible to show how items of intellectual capital not only interact but also compete.

Relationships between intellectual capital and financial capital are challenging to specify because they are complementary rather than causal. Financial capital is not only an effect but also an important input because the development of intellectual capital takes place through the firm's budgeting processes.

The findings suggest future development of accounts of the role and performance (strength) of intellectual capital be developed around imaginative, perhaps recursive and certainly dynamic, statistical models and/or more inclusive case studies of the various elements that influence the development and transformation of intellectual capital.

The case study suggests that investments in intellectual capital happen in the context of many other investments. Bounded by the budgeting process, intellectual capital has no separate agenda and therefore, intellectual capital investments compete with other types of investments.

This study aims to ask two important research questions: “Do the investments of innovation capital and information technology (IT) capital have a non‐linear relationship with firm performance?” and “Does the interaction between innovation capital and IT capital have synergy effects on firm performance?”

The authors employ multiple regression models and add the squared terms of research and development (R&D) intensity and IT intensity to examine the non‐linear relationship between innovation capital, IT capital and performance. The research sample includes the top 1,000 companies in Taiwan.

The main findings of the study are that: innovation capital has a non‐linear relationship (inverted U‐shape) with firm performance; and IT capital has no significant impact on firm performance. However, after considering the interaction between innovation capital and IT capital, there is a positive effect on firms' performance.

This study can be extended in the following ways: researchers can adopt panel data and use more representative measures to examine the dynamic relationship between intellectual capital and performance; and future research should seek to examine the interaction effects of other perspectives of intellectual capital to understand further the comprehensive influence on performance.

The research results suggest that more investment in intellectual capital is not always better. Companies should coordinate different perspectives of intellectual capital to improve firm performance.

This paper extends prior research's viewpoint and suggests the non‐linear relationship between innovation capital and performance with empirical evidence. The results can provide the reference for further research about the relationship between intellectual capital and performance.

Investments in intellectual capital (IC) are often linked to competitive advantages that improve economic profit and increase the value of a company. However, this effect is reciprocal: companies that generate higher cash flow can invest more in IC. The purpose of this paper is to analyze a dynamic relationship between IC components and economic profit, with a special emphasis on industry specific effects in pharmaceutical, retail, steel, telecommunications, and service sectors.

Panel vector autoregression was used to deal with the mutual influence of IC components, the lag effect, and heterogeneity. The data were taken from Compustat database and covers the period from 2001 to 2010.

The paper proves that there is interaction between investments in the IC components and company performance. However, there are sectoral differences: there is a positive impact of economic profit on human capital in retail; in the steel industry a mutual influence is revealed. Moreover, interaction between different IC components is detected in telecommunication and steel industries.

This is the first study to present clear evidence of the effects of performance on IC investment decisions. The time lag in the effects of IC investments was estimated and compared for different industries. On the methodological side, the paper presents a rather simple method capable of yielding results consistent with other studies and yet rich enough to be applied to an analysis of sectoral differences in dynamic IC investment decisions.

The main objective of this study is to analyze the mediating role of intellectual capital in the relationship between diversification, financial stability, and efficiency of the banking sector in Ethiopia.

Secondary data for this study was obtained from audited financial statements of 17 Ethiopian commercial banks for a decade starting in 2013. A descriptive and explanatory research design with a quantitative research approach was employed. The seemingly unrelated Hierarchical regression analysis is used to estimate diversification’s effect on banks' financial stability and efficiency, considering the interaction between diversification and intellectual capital as a mediating variable.

The Mediation analysis reveals that asset diversification improves the financial stability of commercial banks when mediated by intellectual efficiency. Investment diversification negatively impacts risk-adjusted return on asset and Z score. Intellectual capital significantly enhances commercial banks' efficiency and financial stability in Ethiopia and mediates the relationship between geographic diversification, financial stability, and efficiency. The mediation analysis also indicates that intellectual capital significantly mediates the relationship between income diversification and efficiency.

This study highlights the importance of intellectual capital and promotes its strategic allocation by management and regulatory bodies to enhance the financial stability and operational effectiveness of the banking industry in Ethiopia.

To the best of the researcher’s knowledge, this study is one of the rare attempts to investigate the mediating role of intellectual capital on the nexus between diversification, financial stability, and efficiency of commercial banks in Ethiopia.

The paper aims to provide an assessment of a tool for the macro‐level measurement of intellectual capital developed by Corrado, Hulten and Sichel (CHS model).

The aim paper assesses the validity and accuracy of the CHS model in measuring intellectual capital in general and to see whether it has application at the national economy level.

The model's new accounting ideas have great potential, but some serious question marks remain. The key advantage of the model is that it accumulates capitalized intangibles over time. On the other hand, the elements of intellectual capital, i.e. spending on innovative property and economic competencies, software and other computerized information, are too vague and problematic.

CHS model is a rather frequently used method for measuring intellectual capital. However, its validity has not been under critical analysis or examination earlier. Therefore, the results of this paper bring important and valuable information into reliable measurement of intellectual capital and are a step forward to develop more valid methodologies within intellectual capital research.

The use of contingent knowledge workers may be an efficient means of investing in an organization's intellectual capital. However, exposing contingent workers to private, key competitive knowledge is considered risky. A study was undertaken to collect the costs, benefits and losses experienced by organizations that had contracted contingent knowledge workers to develop intellectual capital.

A purposive cross‐section of senior managers of knowledge‐intensive organizations were interviewed regarding the tangible benefits, costs, perceived risks, and experienced losses from contingent knowledge worker arrangements. The constant comparison method of analysis was used.

The data revealed perceived increases in flexibility, expertise, creative stimuli, and knowledge bank development. These benefits were believed to have bottom‐line impact through product and process improvements and innovations, and operational efficiencies. The managers did not perceive much risk or experience material losses as a result of the contingent knowledge worker arrangements.

These findings are based on interviews with a small group of organizations. Although not generalizable, they present an interesting contrast to previous researchers’ conclusions regarding the use of contingent knowledge workers. Further empirical work is needed to test the degree to which this study's findings can be generalized.

Contrary to recent literature, this study suggests that contracting contingent knowledge workers to develop in‐house intellectual capital is worth the risk.

The study presents a divergent viewpoint on the contracting of contingent knowledge workers. It also initiates research on rational evaluation of investments in intellectual capital, which constitutes an important contribution to the area of knowledge management. It also contributes to the ongoing research on intellectual capital valuation.

The purpose of this study is to determine whether personal assets or organizational investments from an intellectual capital perspective have an influence on employee commitment in the Taiwanese cultural creative industries.

This study used a cross‐level design to conduct a questionnaire survey. The research variables covered two levels: individual level (personal human capital and organizational commitment); and organizational level (organizational intellectual capital). The authors contacted 39 small and medium‐sized enterprises (SMEs) in Taiwan's cultural creative industries, requesting their participation in the study, and 27 managers and 86 employees in 27 cultural creative firms provided research information. The response rate was 69 percent for managers and 44 percent for employees, respectively.

The research results indicate that both personal human capital and organizational intellectual capital were antecedents of organizational commitment. For personal human capital, employees with higher levels of education are less committed to organizations. Tenured employees were found to be more committed to organizations. However, the authors did not find a significantly positive effect of personal age on commitment. In regard to organizational intellectual capital, the stocks of human capital and social capital increased organizational commitment. Interestingly, organizational capital reduced organizational commitment for employees in cultural creative industries.

To the authors' knowledge, this is the first study to examine the cross‐level antecedents of organizational commitment from an intellectual capital perspective. In addition, the authors provide some empirical evidence focusing on one emerging industry in Taiwan, i.e. cultural creative industries.