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Over the past three years Accenture developed and applied a new measurement tool that assesses the maturity of an organization's human capital development processes, benchmarks the processes' performance against other organizations, and determines the relationship of each process to bottom line business results. It is designed to help executives make significantly more informed choices about their investments in human capital. This article aims to look at this tool.

The tool, known as the human capital development framework, now has been tested in more than 60 organizations. This case describes how one organization used it to help turn around a struggling division.

Results of the initial implementations of the framework suggest that financial performance improves as a company improves its scoring in those critical human capital processes with strong relationships to financial success. As an organization moves from one benchmarking quartile to the next in these processes within the framework scoring, its capital efficiency – or the ratio of total annual sales to the capital invested in the operations of the business by shareholders and creditors – improves from 10 to 15 percent.

The framework outlined in this article provides a tool that enables company leaders to make clear‐eyed assessments of the payoff from human capital investments. It helps organizations diagnose their strengths and weaknesses in key human capital practices, to set investment priorities and track performance, and to establish an empirical link between human capital investments, business practices, and overall business performance.

Those organizations in the study with more mature human capital processes have better financial performance than those organizations with less mature processes. Specifically, those organizations that focus on processes devoted to three key areas – creating a people strategy aligned with the business strategy, providing supportive work environments, and developing employees by giving them ample opportunities to learn and grow – achieve far greater economic success than those that do not.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to empirically examine the effect of investments in organisational resources and corporate governance features on market-based performance of Islamic banks (IBs).

The required data to calculate different constituents of banks’ investment strategies and governance mechanism were hand collected from 268 annual reports. Different regression models were used to determine the impact of investment in human and structural capital and corporate governance features on market performance of IBs.

The paper finds that investments in knowledge resources (human capital, in particular) have a significantly positive impact on the market value of IBs. The results further reveal that IBs’ strategy to rely on long-term human capital accumulation can be seen as idiosyncratic problem-solving knowledge capital. Based on market measure, the paper finds role duality to have a significant positive impact and the size of the advisory board to have the opposite effect on market value.

This study includes IBs only and ignores other Islamic financial services providers such as Takaful (insurance) companies. The study leaves this chasm to be filled by future researchers.

The findings may serve as a useful input for both Islamic bankers and regulators to apply knowledge management in their institutions. Furthermore, the dominant role of human capital also provides insight to managers with respect to business performance levers.

The main contribution of this paper is to provide insight into the Islamic banking business model using a unique hand-collected data set, to identify the effect of investments in organisational resources and bank governance on market value in before, during and after financial crisis.

This paper is about equity crowdfunding syndicates as a form of entrepreneurial finance and looks specifically at the lead investors' human capital and their ability to raise funds.

The authors develop regressions on a unique hand-collected dataset of 178 lead investors taken from the US-based platform AngelList.

Results indicate that lead investors' specialized human capital has a positive effect on their syndicate fundraising performance. However, it does not find a significant effect of general human capital. It also finds that specialized human capital is mediated by the reputation of the lead investor on the platform.

This study extends human capital theory in the crowdfunding context by providing a more comprehensive portrait of human capital and in doing so, shifts the focus from an entrepreneur to an investor perspective, an approach much neglected in the crowdfunding literature.

This study advances the current knowledge on crowdfunding as it is one of the first to understand syndicate investment as an innovative and alternative platform-based financial channel. It also contributes to the current debate on the role of human capital in crowdfunding and more generally to entrepreneurial finance.

The purpose of this paper is to examine the relationship between training and development investment and financial performance over time. Human capital literature suggests that training and development investment may not immediately affect financial performance but may instead create effects that are realized over time. However, most existing cross-sectional research explores the influence of training and development investment on performance while overlooking training and development investment’s long-term effects.

This study focuses on the recovery period following the Great Recession circa 2008 in the South Korean business context. Longitudinal data from 312 firms, including four distinct waves, were used. Latent growth modeling was used to help identify a pattern of reciprocal relationships between training and development investment and financial performance over time.

The results indicate that even though growth in training and development investment is stable over time, there are significant between-firm differences in training and development investment trajectories over time. Prior financial performance was shown to be positively related to higher levels of training and development investment, but it was not related to growth in training and development investment. The initial level of training and development investment did not predict subsequent profit, but growth in training and development investment was positively related to future financial performance.

This study suggests that as an organization’s training and development investment increases over time, a delayed effect on financial performance may emerge because of this accumulated investment. Ultimately, the results highlight the importance of having a stock of human capital, rather than concentrating upon momentary flows that yield immediate effects.

The purpose of this research is to deal with the human capital disclosure issue of present accounting systems. Many companies nowadays derive their competitive advantages mainly from human capital. However, under generally accepted accounting principles, all human‐related expenditures are treated as expenses, which are deductions of revenues, thus misleading decision‐makers into inappropriate judgments. This paper provides an alternative way of measurement and disclosure of human capital items in financial statements. The paper defines and classifies the human capital of a company in line with a theoretical framework provided by the authors, sorts out company's human capital investments according to cost development stages in human resources, isolates human capital from expenses and finally suggests disclosure in financial statements.

The paper investigates into the human capital–economic growth nexus by arguing that investment in early education and health helps in achieving higher economic growth. Early investment in human capital matters most for economic growth than the increase in human capital over the years.

A dynamic vector error correction model (VECM) together with the impulse response function and variance decomposition are used on data for Mauritius from 1983 to 2019. The paper distinguishes between the short-run and the long-run effects of human capital measured by the pupil–teacher ratio in pre-primary education and life expectancy at birth.

This study’s findings reveal that investment in early education and health has contributed positively to growth performance. There is evidence for long-run growth effects arising from a positive shock in the education and health indicators.

This paper contributes to both the theoretical and empirical literature on the human capital–growth nexus. Mauritius as a natural resource poor small economy is an important case study as it has started early in investing in its people to promote economic growth.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2021-0674.

The purpose of this paper is to focus on one of the major emerging Asian economies – India – to examine the role of human capital in asset prices.

The analysis uses various statistical techniques (e.g. multifactor regression model, 3D graphs, GRS test and residual graphs) to test the role of human capital in asset prices.

A six-factor model designed for capturing the size, value, profitability, investment and human capital patterns in average portfolio returns performs better than both Fama–French’s (1993) three- and Fama–French’s (2015) five-factor model. The main problem of six-factor model is its failure in capturing the average returns on “microcap with low-value stocks that are highly profitable invests aggressively for asset growth but invests much lesser for human growth” and “microcap with unprofitable stocks whose returns behave like those of low-value firms with conservative investment”. The study finds the investment factor (CMA) of Fama–French’s (2015) five-factor model as the redundant factor for describing the portfolio average returns in the study sample.

The paper argues that human capital also plays a role in predicting returns. This has significant public policy content.

The present study is novel for several reasons: first, it includes six-factor model descriptions; second, no comprehensive asset pricing study is done with human capital in Asian emerging markets, especially in India. Perhaps, this is the first study to examine whether portfolio returns are affected by the human capital in the Indian context. Third, the study period and methodology used are completely different from the previous studies.

The research aims to examine the impact of economic policy uncertainty (EPU) on a company's behaviour concerning its human capital. Additionally, the difference in effect for companies with specific human capital is analysed.

The hypotheses are tested on a multi-industry sample of large public companies from five European countries, using panel data modelling. The index of Baker et al. (2016) is used to measure EPU.

In the case of increasing EPU on one standard deviation, companies tend to reduce their human capital by approximately 1.7%. Moreover, despite theoretical assumptions, the effect on companies with more specific human capital is twice stronger. The heterogeneity of effect across countries and industries is also present.

Regulators and governments should consciously introduce changes in relation to regulations and decrease the uncertainty of economic policy to stimulate corporate investments in human capital.

This is the first study that considers the mechanism of EPU and its influence on corporate human capital. The results suggest that concerns regarding economic policy cause companies to reduce human capital.

Interest has been generated for a while in unpacking the “black box” and providing a contingency approach to understanding the effects of human resource management (HRM) practices. This study aims to investigate the possibility that the relationship between human capital development and task performance is mediated by work self-efficacy and work engagement – and that this mediation depends on the degree of perceived investment in employees’ development.

Based on a synthesis of theories –systems, social cognitive and social identity theories – a moderated mediation model is tested using data from 220 academic employees and Heads of Departments from multiple Higher Educational Institutions in Ghana. AMOS and Hayes Conditional Process analysis were used to analyze the data.

The study finds support for a bundle of human capital investments boosting work self-efficacy and motivating work engagement, as well as task performance. Consistent with expectations, the mediation in human capital investments to task performance via work self-efficacy is conditional on the degree of perceived investment in employees’ development.

The study provides the first attempt at studying a conditional process model in human capital development by addressing whether, how and when human capital system functions more or less effectively, and provides knowledge on the “black box” in HRM.