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Human resource is the asset for a nation’s development and growth. The skilful human resource will enhance the nation’s productivity and directly contribute to the economy growth. At the country level, a nation’s human resource development (HRD) policy and human resource trainings schemes will catalyst for the growth of the workforce’s productivity, especially in the Industrial Revolution 4.0 which requires advanced technological knowledge and specialists in particular fields such as digitalisation, artificial intelligence and quantum computing. This chapter discusses the HRD in developed, developing and less-developed countries and raise awareness and attention of organisations as well as nations to develop and train up human resource for the future growth of the countries.

This chapter is devoted to sustainable human resource management that leads to sustainable competitiveness. It features the ways human resources can be managed to carry out sustainable goals and the impact of sustainability on employees' attitudes and behaviours. The aim of this study is to explore the complex objectives of sustainability and human resource management and empirically investigate the dynamic relationship between human resources in science and technology and sustainable competitiveness in the case of 35 European countries. Our contribution emphasizes this interrelationship and its causality. For this research, we applied a vector auto-regression (VAR) model, and the Granger causality method to examine the relationship between human resources in science and technology and sustainable competitiveness. A panel data included 314 observations between 2012 and 2021. The panel VAR for analysing the impulse response function was enriched with the 5% and 95%, using Monte Carlo simulations. The research results revealed bidirectional causality in the European countries between human resources in science and technology and sustainable competitiveness. Human resources in science and technology trigger sustainable competitiveness and vice versa. As an element of originality, our study demonstrates that human resources in science and technology contribute to sustainable performance, and, on the other hand, a more competitive and sustainable environment contributes to the development of human resources in science and technology. Thus, the chapter outlines the role of human resources in science and technology with regard to sustainable human resource management (HRM), and how to navigate these objectives so that they can positively influence sustainable competitiveness.

Sudden crises, known as environmental jolts, can cripple unprepared organizations. In recent years, financial jolts have led many organizations, particularly government organizations, to respond by furloughing employees. Furloughs can engender various responses in employees that can lead to negative work outcomes for both the employees and the organization. Previous research shows that the implementation of strategic human resource management (SHRM) practices, such as commitment-based systems, can mitigate the negative effects of environmental jolts. Utilizing the knowledge-based view and affective events theory, we propose a multilevel model where SHRM practices moderate employee affective responses to furloughs, which, in turn, drive subsequent employee behavioral outcomes.

Research on strategy in new ventures has increasingly drawn upon resource-based theory, and thus has emphasized intangible factors that confer sustainable competitive advantage. These include dynamic and combinative capabilities, networks, routines, and knowledge as resources of new ventures. Yet antecedent to every one of these intangible resources is the management of the venture. But research has seldom considered management and the human resources of new ventures as a critical dimension of strategy content. This paper develops such an argument, and explores the performance contribution of human resources as strategy content in a longitudinal study of technology new ventures.

The construction workforce plays a crucial role in the successful delivery of any construction project and, eventually, the performance of any construction organisation. Effectively managing these workforces becomes crucial. However, past studies have shown that workforce management within the construction industry has been on the back foot, with workers being seen as resources required to deliver construction projects. This situation begs the need for a construction workforce management model that can be tailored to an organisation’s situation and adopted to manage workers and improve organisational performance effectively. To this end, this chapter reviewed existing workforce management theories, models, and practices to develop a suitable approach towards managing the construction workforce. Ultimately, a strategic workforce management with a classical view using a soft workforce management approach that embraces employees’ empowerment and development through trust was proposed. Five major practices that best suit the soft workforce management approach were identified as key constructs in the proposed construction workforce management model.

Creativity and innovation have been buzzwords of managerial discourse over the last few decades as they contribute to the long-term survival and competitiveness of firms. Given the non-linear, causally ambiguous, and intangible nature of all innovation-related phenomena, management scholars have been trying to uncover factors that contribute to creativity and innovation from multiple lenses ranging from organizational behavior at the micro-level to strategic management at the macro-level. Along with important and insightful developments in these research streams that evolved independently from one another, human resource management (HRM) research – especially from a strategic perspective – has only recently started to contribute to a better understanding of both creativity and innovation. The goal of this chapter is to review the contributions of strategic HRM research to an improved understanding of creativity at the individual-level and innovation at the firm-level. In organizing this review, the authors rely on the open innovation funnel as a metaphor to review research on both HRM practices and HRM systems that contribute to creativity and innovation. In the last section, the authors focus on more recent developments in HRM research that focus on ambidexterity – as a way for HRM to simultaneously facilitate exploration and exploitation. This chapter concludes with a discussion of future research directions.

This research investigates and finds support for the hypothesis that the demand for human resource managers is largely derived from the relative demand for professional, managerial, and technical employees with high levels of occupationally specific human capital. Strong demand for these employees significantly increases both employment and earnings of human resource managers, reflecting the growing importance of occupational specific capital to firm performance and the practice of human resources. Using data from the Occupational Employment Statistics and the Current Population Survey March Supplement the research analysis finds that the employment of approximately 11% of the labor force is strongly associated with greater employment and higher compensation of human resource managers, and the employment of another 9% of the labor force is more weakly associated with the employment of human resource management (HRM). However, the employment of approximately 40% of the labor force is associated with the relative decrease in employment and compensation of HRM.

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.

High-involvement work processes (HIWPs) are associated with high levels of employee influence over the work process, such as high levels of control over how to handle individual job tasks or a high level of involvement at team or workplace level in designing work procedures. When implementations of HIWPs are accompanied by companion investments in human capital – for example, in better information and training, higher pay and stronger employee voice – it is appropriate to talk not only of HIWPs but of “high-involvement work systems” (HIWSs). This chapter reviews the theory and practice of HIWPs and HIWSs. Across a range of academic perspectives and societies, it has regularly been argued that steps to enhance employee involvement in decision-making create better opportunities to perform, better utilization of skill and human potential, and better employee motivation, leading, in turn, to various improvements in organizational and employee outcomes.

However, there are also costs to increased employee involvement and the authors review the important economic and sociopolitical contingencies that help to explain the incidence or distribution of HIWPs and HIWSs. The authors also review the research on the outcomes of higher employee involvement for firms and workers, discuss the quality of the research methods used, and consider the tensions with which the model is associated. This chapter concludes with an outline of the research agenda, envisaging an ongoing role for both quantitative and qualitative studies. Without ignoring the difficulties involved, the authors argue, from the societal perspective, that the high-involvement pathway should be considered one of the most important vectors available to improve the quality of work and employee well-being.