Search results

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.

The purpose of this paper is to respond to the increasing pressure on financial markets to more systematically value the intangible assets in listed firms.

Using qualitative research techniques on the trading floor of Merrill Lynch Investment Bank in Sydney and Hong Kong, four tools for human capital analysis have been developed by the authors.

These tools provide mechanisms for securities analysts to more systematically analyse the intangible aspects of publicly listed firms on global stock exchanges.

Given the complex regulatory requirements on securities analysts in many developed economies, these tools are predicated on analysts using publicly available information.

Specifically, the tools use a systems approach and can assist securities analysts to be more systematic in their analysis of management quality of publicly listed companies, as it is manifested in a firm's management systems.

The purpose of this paper is to locate those entrepreneur human capital elements which significantly influence an enterprise's growth performance, within both high‐tech and traditional enterprises, thereby helping entrepreneurs understand that human capital elements will provide different impacts within different industries.

Under some necessary research assumptions, the statistical analysis described in this paper uses data collected from a questionnaire survey and is performed under the SPSS16.0 Program.

An enterprise growth model is built from the perspectives of entrepreneur human capital. Analysis shows that human capital elements of the same entrepreneur have different impacts on the performance of business growth in different industries. The theoretical model provides a better explanation of the high‐tech enterprises' growth performance. Innovation and business growth performances from a high‐tech enterprise have greater reliance on human capital of entrepreneurs than the traditional industries.

Most current studies of the human capital of entrepreneurs focus on the analysis of background characteristics, but inadequate attention has been given to the relationship between human capital and the enterprises' growth performance, as well as to the comparative analysis of entrepreneurs' human capital in high‐tech enterprises and traditional enterprises. This paper, however, compares and analyzes such relationships between high‐tech enterprises and traditional enterprises.

This paper aims to meta-analyze the results of the prior studies related to the relationship of human capital and financial performance in Islamic banking.

To examine the relationship between human capital and financial of Islamic banks, 23 empirical studies having sample of 15,607 are considered for the meta-analysis. Moreover, different measures related to financial performance including return on assets (ROA), return of equity (ROE) and Tobin’s Q have been taken as moderating for further subgroup analysis.

The results of meta-analysis reveal a positive correlation between human capital and financial performance with an effect size of 0.268. The subgroup analyses showed significant positive associations of human capital with ROA and ROE, insignificant with Tobin’s Q.

This study suggests Islamic banking should prioritize human capital development, maintain consistency and adopt a long-term perspective. Future research should consider context-specific factors and harmonize human capital and financial performance measurements for consensus.

Much like “Yeti,” the Abominable Snowman whose footprints are everywhere but itself nowhere to be seen, unfounded assertions of human capital as valuable contributors to strategic success continue to proliferate. Many of these treatments are nonbinding, nonmeasureable, idiosyncratic, tautological, and therefore nearly impossible to use for any comparative market valuation. In this chapter, we selectively review the interdisciplinary literature on exemplars of human-derived capital. We systematically examine specific epistemological strengths, weaknesses, and gaps in recognized theories, measures, and practices. In particular, a multidisciplinary, multilevel, connectionist point of view is suggested. We present the case for an evidence-based classification system of human-derived capital at the micro-, meso-, and macro-levels. Our framework goes beyond static stock models by emphasizing dynamic human-derived capital flows, as well as their within-level and cross-level linkages, all within the context of a modern society that increasingly is networked, fluent with technology, and prodigious with social media.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The purpose of this paper is to revisit the conceptualization and measurement of human capital in entrepreneurship research.

By contrasting reflective and formative conceptions, it shows that human capital is more appropriately seen as defined and formed by its indicators (education, work experience, entrepreneurial experience, industry experience, and managerial experience). It, then, explores the configurations of these indicators in a qualitative comparative analysis framework based on Boolean algebra and fuzzy-set methodology. It derives an empirical typology of the human capital of nascent entrepreneurs, based on two primary combinations of indicators.

The paper shows that the relationship between human capital and venture emergence is best represented as multiple, conjectural causation, i.e. human capital matters through certain combinations of its indicators.

The discussion and results offer novel and valuable insights into entrepreneurship researchers for the conceptualization and use of human capital constructs.

The purpose of this paper is to investigate if human capital information voluntarily provided by German companies is value‐relevant.

By means of word‐based content analysis, human capital information is extracted from German companies’ annual reports. Subsequently, the value relevance of the disclosed human capital information is analyzed by applying two established valuation models.

The results show that human capital information is value‐relevant. Especially, information on qualification and competence issues is positively associated with firm value. Nonetheless, the disclosed information does not lead to short‐term changes in market value. Consequently, human capital information is value‐relevant but not immediately.

First, companies can improve their valuation on the capital market by disclosing information on their human capital. Second, standard setters can use this paper's results in defining relevant information categories for human capital disclosures. Third, the amount of human capital disclosures is increasing over time.

This study explicitly evaluates the value relevance of the overall (especially nonfinancial) human capital information voluntarily provided in corporate annual reports.

Organizations are constantly striving to develop and enhance knowledge of employees who involve in strategic business processes by which they aim for an organizational knowledge creation to achieve a competitive advantage. Accordingly, they encourage employees to involve in basic knowledge management (KM) processes and establish infrastructure, particularly, supportive culture and communication facilities for knowledge acquisition and sharing in order to broaden both human capital and organizational knowledge base. In this direction, the purpose of this paper is to develop a hierarchical structure of KM that aims to develop or create human capital in an organization and empirically analyzes the model fit with the data.

Data are collected from 401 employees of Indian manufacturing firms. Factor analyses for identifying and validating the structure of KM and regression analysis for examining the associations of KM dimensions with certain demographic characteristics of employee and organization are performed.

Organizations show KM concepts' demonstration on developing human capital through tactical KM process and problem‐solving approach, communication‐oriented culture, and innovation‐supportive culture. The results confirm the theoretical hierarchical structure of KM with data. In addition, these dimensions are moderately associated with certain characteristics of employees and organizations.

Firms, which are small and medium in size and particularly private‐owned, create human capital through a hierarchical KM structure.

This paper analyzes the instruments of KM in view of creating human capital.

According to human capital theory, companies derive economic value from the knowledge, skills and abilities (KSAs) of their employees. Research conducted by strategic human resource management has focused on how investment in human capital can create a competitive advantage for an organization. The purpose of the paper is, therefore, to investigate how the choice of different human capital acquisition strategies – “make or buy” – can influence employee attitudes and behavior.

This study explores the relationship between internal and external human capital strategies and employee’s attitudes and behavior in Taiwan's IC (integrated circuit) design industry. The cross-sectional dataset derives from a sample of 49 human resource departments and 497 employees from 25 different IC design companies.

The findings indicate that the decisions made on human capital strategies have an important influence on employee’s attitude and behavior. The results also show that a climate of trust and perceived organizational support is a cross-level mechanism for both human capital strategy and employees' attitudes and behavior.

There has been little research on the cross-level analysis of human capital acquisition strategies that can influence employee’s attitudes and behavior. This study verified that internal and external human capital strategies do affect employees' individual perceptions of organizational support via the organizational-level climate of trust, which in turn influences employees' attitudes and behavior. This cross-level mechanism indeed will facilitate new insights into the nature of strategic human resource management.