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Introduction: In a world characterised by volatility, uncertainty, complexity, and ambiguity, change is the only constant. Over the years, human resource management (HRM) has evolved from conventional functions of hiring and firing to being a strategic partner in organisations. Similarly, there has been a paradigm shift in the landscape of artificial intelligence (AI) from being a mere searching tool to the design and development of intelligent robots. Over the years, AI has emerged into a collection of powerful technologies re-inventing different functional areas, including HRM. The application of AI in HRM is perceived as an optimistic opportunity since it ought to bring maximum value at minimum cost. AI focuses on building tools that exhibit human-level intelligence and discernment in making decisions.

Purpose: The purpose of this chapter is to draw deeper insights into the relevance of AI in different functional areas of HRM. Integrating AI into HRM functions such as talent acquisition, training and development, performance management, employee engagement, and the like can help leverage efficiency and create an engaging employee experience. In the wake of Industry 4.0, where digitalisation has become imperative, this chapter explores the integration of AI into specific HR functions for a synergistic competitive advantage in companies. The purpose of this chapter is to signify the integration of AI into four vital functions of HRM, namely talent acquisition, training and development, performance management, and employee engagement. The objective is to chart how companies integrate various AI tools in four specific HRM functions to enhance efficiency. Also, the companies willing to implement AI in their HR functions can refer to the case studies used as exemplars in the chapter.

Methodology: This conceptual chapter is based on the secondary sources, which also build upon case studies of different companies that have implemented AI-enabled solutions and integrated them into different HRM functions and processes per needs. This chapter utilises the conceptual framework of both AI and HRM functions to give deeper insight into the challenges and implementation of technology-enabled solutions.

Findings: AI is used in HRM functions to automate repetitive and operational tasks to shift the focus to more strategic aspects. Despite many advantages of AI and machine learning, very few companies are using it, and companies may integrate technology-enabled solutions based on the size and nature of business.

Human resource analytics (HRA) is a practice that is emerging within the human resources function. This chapter aims to provide an overview of the knowledge that currently exists about HRA and to identify facilitators and restraints of using HRA. Based on both emerging trends in the literature and in-depth interviews with key practitioners in the field, the authors deduce recommendations for organisations to effectively employ HRA. The analysis shows that HRA is ready to add value towards organisational effectiveness, although barriers exist in realising its potential for the same. Facilitators of HRA include the right set of competencies, with relationship building identified as especially important.

This exploratory study attempted to determine the level of formalization and implementation of corporate governance and risk management practices, and the role of human resource management in the design and formulation of such practices. This study also attempted to derive some patterns of association among the variables studied, including the degree to which specific human resource management practices were linked with the overall corporate governance and risk management objectives. Human resource management was consulted from time to time during the formulation of strategic plan, the design of behavioral control mechanisms, and the development of risk management guidelines and formal corporate culture programs. However, it was consulted only during implementation of corporate governance structures at the board level. Generally, human resource management involvement in the formulation of corporate governance and risk management mechanisms was related to the degree of formalization and implementation of such mechanisms, but not to the degree of congruence of human resource management functions with corporate governance and risk management objectives. However, the degree of formalization and implementation of corporate governance structures at the board level was related to the degree of congruence of human resource management functions with corporate governance and risk management objectives and the driver measures of performance. The latter was likewise related to mechanisms of behavioral control.

Decision-making in human resources management is done at both the micro and macro level of organizations. Unfortunately, the decisions at each level are often executed without consideration of the other, and current theory reflects this issue. In response to a call for integration of micro- and macro-level processes by Huselid and Becker (2011), we review the extant literature on strategic human resources and high-performance work systems to provide recommendations for both research and practice. We aimed to contribute to the literature by proposing the incorporation of the situation awareness literature into the high-performance work systems framework to encourage the alignment of human resources efforts. In addition, we provide practical recommendations for integrating situation awareness and strategic decision-making. We discuss a process for the employment of situation awareness in organizations that might not only streamline human resources management but also result in more effective decisions. Additional considerations include implications for teams, boundary conditions (e.g., individual differences), and measurement.

Three decades of academic and professional discourse on HR technologies (HRTs) have produced continued disagreement over construct definitions and research streams that are highly fragmented. These realities suggest that greater consistency in meanings is sorely needed if we are to integrate and upgrade knowledge in this area. This chapter draws on the findings of a systematic research review to properly define the content domains of human resource information systems (HRIS), virtual human resources (virtual HR), electronic human resource management (e-HRM), and business-to-employee (B2E) systems. An integrative synthesis was performed on 242 system-level writings that appeared in the literature from 1983 to 2017. The weight of the evidence strongly supports treating HRIS, virtual HR, e-HRM, and B2E systems as independent, complimentary constructs. While the first three comprise a firm’s HRT system, the fourth construct is more appropriately positioned in the business-collaborative system. The sample was further evaluated with an analytic framework to detect patterns of practice in research designs. This revealed that much more attention has been focused on system actions and outcomes than on attitudes and system characteristics. Different units of analysis were well represented aside from trans-organizational studies. Finally, a case is made for better contextualizing HRT research by recognizing differences in assimilation stage, functional penetration, and collective proficiency. These factors are rarely mentioned, let alone studied, raising additional concerns about measurement error. Detailed suggestions are offered on ways to incorporate them. Together, these materials should promote more sophisticated and generalizable assessments of technology, improving our ability to understand its impacts.

In this chapter we examine various human resource management (HRM) implications involved in the leadership of fluid teams. Leadership of fluid teams, which are distinguished by their dynamic composition, requires consideration of issues that may not be as pertinent for stable teams. In particular, we focus on the concept of familiarity. Composing and leading teams with members exhibiting varying degrees of familiarity with one another creates obstacles to effective and efficient functioning and may ultimately lead to poor performance. With this in mind, leaders must pay particular attention to issues of coordination, and composition such that a broad range of generalizable teamwork skills exists within the team. Within this chapter, we explain the concepts of fluid teams, team leadership within fluid teams, and other relevant concepts related to the formation of familiarity. Next, we thoroughly review extant empirical and theoretical research within these areas. We identify areas of correspondence among the various concepts and findings of the reviewed studies and generate an integrated model of fluid team leadership. To conclude, we highlight the distinct HRM implications associated with the use, and leadership, of fluid teams.