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The purpose of this paper is to analyse how insurances can be used in the management of human capital risks. The issue is highlighted in the context of small and medium‐sized enterprises (SMEs).

Building on literature on intellectual liabilities, the paper provides a comprehensive picture of human capital related risks, emphasising their effects on SMEs. The issue is analysed empirically through a qualitative case study of an insurance company.

The paper divides the identified human capital risks into insurable and uninsurable risks, determining a specific insurance solution for each insurable risk. Based on the results, pension, accident, health, life, liability and crime insurances are the most useful types of insurances for the management of human capital risks.

The generalisability of the findings is limited by the methodological choice. As the study is conducted from the viewpoint of an insurance provider, it does not consider the effectiveness of the suggested insurances in practice. Thus, more empirical studies on the approach are called for.

This paper creates a basis for the better recognition of the various human capital risks in companies and describes how insurances can be applied for the management of these risks.

In addition to considering human capital risks as an entity, the paper contributes to the research on knowledge asset protection by examining a practical risk management method for these risks. According to the authors' knowledge, insurances have not been introduced in this context before.

The purpose of this paper is to suggest that in the arena of human capital, risk-mitigation may overshadow risk-optimized decisions, and show how a more balanced approach can be achieved by understanding and applying frameworks from behavioral decision theory, as well as framing human capital risk using tools and frameworks that have a long history in other management arenas, such as finance.

Review risk-optimization frameworks in human resource and general management, distill key connections, suggest ways to enhance risk optimization for human capital, and offer suggestions for future research and practice.

For human capital, risk-mitigation may overshadow risk-optimization, a balanced approach can be achieved by applying behavioral decision theory and by using frameworks from other management arenas, such as finance.

Organizations must acknowledge and skillfully manage the connections between human capital and competitive strategy in this emerging arena of human capital risk, or they will miss key strategic opportunities.

Attention to human capital risk has largely emphasized minimizing or controlling unwanted outcomes, but the paper proposes that risk-optimization requires balanced attention to risk-taking as well.

This paper aims to examine the relationship between risk management committees (RMCs) and risk management disclosure (RMD) quality. Specifically, the existence of stand-alone RMCs and a number of RMC characteristics, including RMC size, RMC independence, number of RMC meetings and RMC members’ human capital is investigated.

The sample comprises top 100 Australian Securities Exchange (ASX)-listed companies during the period between 2010 and 2012, when RMD began to be guided by detailed recommendations in Australia. Following the RMD framework used by Jia et al. (2016), RMD quality is measured based on its quantity, relevance, width and depth. Ordinary least squares (OLS) regressions were used to test the relationship between stand-alone RMC, RMC characteristics and RMD quality.

The results show that the existence of a stand-alone RMC, the human capital of RMC and RMC size are positively associated with RMD quality. In contrast, RMC independence and the number of RMC meetings are not found to have a significant association with RMD quality.

This study contributes to the current RMD literature by investigating whether a stand-alone RMC and different RMC characteristics are associated with RMD quality. The results of this study provide useful and new empirical evidence about the relationship between RMCs and RMD quality for researchers, companies, and regulators.

This paper aims to examine the association between regulatory capital and risk of Indian commercial banks and the impacts of other relevant variables on them.

The study is based on a secondary data set on Indian commercial banks collected from “Capitaline Plus” corporate database and annual reports of the respective banks. Total 41 major Indian banks (21 public and 20 private sector banks) are considered in this study. Here absolute values of capital and risk are used as dependent variables along with some relevant bank specific explanatory variables in a system of a two-equation model. Based on the nature of interrelationship and identifiability of the equations, three-stage least squares (3SLS) technique is used to estimate the relationship.

Risk and capital of Indian commercial banks are inversely associated. The influence of profitability on both capital and risk is significantly positive. Moreover, human capital efficiency is negatively associated with the undertaking of risk by the banks. In this respect, Indian private sector banks are found to be more efficient in utilizing human capital for reducing credit risk.

It is the first comparative study in India examining the relationship between capital and risk of Indian public and private sector commercial banks covering both Basel I and II periods. Further, the role of human resource in managing risk is considered as a relevant variable in this study.

Although employee stock ownership may result in increased cash flows due to enhanced organizational productivity or improved governance, this benefit is counterbalanced by the increased risk premium due to a higher correlation between the returns to the firm and the returns to human capital in general. For corporations that employ people with commonplace skills, employee stock ownership results in increased systematic risk, so the optimal level of employee stock ownership is small. When skills are unique, however (so the returns have low correlation with the returns to human capital in general), the optimal level of employee stock ownership is high, with strong incentives for outsourcing – not just the routine easily repeatable tasks but also research, product development, and other highly specialized tasks requiring knowledge not present within the firm. These conclusions hold even without conflicts of interest between owners and employees, but are strengthened in the presence of such conflicts. Incentives for greater employee ownership are further strengthened by the higher costs of becoming or remaining a public corporation that have been imposed by the Sarbanes–Oxley Act of 2002. This analysis provides a framework for optimizing employee incentives from stock ownership.

Purpose – Institutional investors need to move beyond first- and second-generation interpretations of Corporate Social Responsibility (CSR) and Socially Responsible Investment (SRI) (based on negative filters), and also beyond third and fourth generations (based on positive and integrated filters), which are more sophisticated but still limited, and toward a fifth generation of SRI and CSR. A fifth-generation model systematically incorporates critical intangibles, such as human capital analysis, into the Environmental, Social, and Governance (ESG) investment process.

Methodology – This chapter incorporates a literature review and draws on a range of qualitative research and case studies on the current and potential role of regulators to regulate nontraditional measures of value.

Findings – The power of institutional investors is currently based on incomplete information from listed companies on how they create value, yet it rests on superior knowledge and insight into the workings of the companies in which they invest, and is only as strong as the quality of the information it uses to make investment decisions on behalf of clients.

Research implications – More research on the role of human capital analysis, and its regulatory consequences, is required.

Practical implications – Regulators need to act within the context of these fifth-generation models in order to create the environment for more transparent investment recommendations.

Originality of chapter – This chapter contributes a qualitative and conceptual perspective to the debate on the role of regulation beyond the global financial crisis.

Integrating interdisciplinary studies with Human Capital Management Accounting (HCMA) refers to the dynamics of organized interdisciplinary action that are transversal or cross-cutting. This approach requires the mastery of a certain number of technical skills and disciplines, as well as the capacity to use them in a process to solve problems of financial performance. This is accomplished through the specific interaction tasks that are performed by each management function and operational unit, which act in real time with others, in the same direction as an organizational team, using a selected risk appetite threshold base.

Putting business fields side by side, (i.e., business disciplines silos, as is normally the case in MBA programs), is not enough to create the transversal interaction dynamic needed for firms to achieve expected financial performance goals. As a result, few graduates today have the cross-cutting or vertical skills required to act, in real time, from their workstation in accordance with the pyramid shape of the organization chart in order to create value.

This chapter presents the results of the interface established by a faculty member in the Accounting Department of the University of San Francisco with a “seasoned leader in the FinTech industry.” It proposes a single portal for employers and HRMs to which the continuing education services of professional training associations, executive education departments of colleges, and MBA schools and universities, can connect to issue the HCMA certificate supplementing their training offerings focused on “Leadership Development”.

The paper examines the conditional capital asset pricing model (CCAPM) of Jagannathan and Wang using the UK data and develops a data-driven measure of beta instability risk that is pertinent to the UK stock market. In contrast to the view that the main part of the Jagannathan and Wang's model is the inclusion of human capital, however, the paper finds that human capital remains insignificant in most tests.

Data were taken from the London Share Price Database and Datastream. This paper therefore examines the premium labour (PL) model of Jagannathan and Wang using the UK data, while the paper attaches particular importance to the measure of beta instability as a source of time variation in betas. In analysing the measure of beta instability risk, this study considers a testable measure of instability risk that varies across markets and across time as the interaction between the stock market and the economy varies across different time periods. Hence, this paper develops a data-driven measure of beta instability risk that is pertinent to the UK stock market.

The results confirm the premium version of the model, that is, the CCAPM without a proxy for human capital. In particular, the paper finds that over the entire time period of this study, the measure for beta instability risk and market portfolio has significant explanatory power for the variations of returns. More specifically, when using the average earnings index as a proxy for human capital in the PL model, the premium model performs better than the PL model. When total income from employment is used as a proxy for human capital, the performance of the PL model improves for the full period. However, the results for the two sub-periods are less favourable for the PL model as, again, labour income is not priced for these periods. These results indicate that the PL model is sensitive to proxies used for human capital.

The results revive the importance of beta instability risk in CCAPM of Jagannathan and Wang's model and suggest that the beta instability drives this model.

The purpose of this paper is to investigate the association between capital regulation and risk-taking behavior of Indian banks after incorporating the influence of competition. Further, the study intends to enrich the existing literature by providing empirical evidence on the role of human resources in managing risk along with the influence of other bank specific and macroeconomic variables.

Secondary data on 39 listed Indian commercial banks are collected from “Capitaline Plus” corporate data database for a period of 15 years. Capital is measured by capital adequacy ratio as defined by the regulators, and two definitions of risk – credit risk and insolvency risk – are employed. Competition is measured by Herfindahl-Hirschman deposits index, concentration ratio and H-statistic. The value-added intellectual coefficient model is employed to compute human capital efficiency (HCE). Three-stage least squares technique in a simultaneous equation framework is used to estimate the coefficients.

The study finds that absolute level of regulatory capital and bank risk are positively associated, although the influence of capital on risk is not statistically significant. The influence of competition on risk is negative for all the models, which supports the “competition stability” view. The impact of human capital on bank risk is also negative for all cases.

The findings of the study are useful for the decision makers in several ways based on the inverse influence of competition and HCE on bank risk. Further, the observed positive association between capital and risk indicates that the capital regulation is not sufficient to enhance the stability in the banking sector.

This is the first study in the Indian context that incorporates the competition in the banking industry as an explanatory variable in the extant bank capital and risk relationship.