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Purpose: In the contemporary knowledge economy, organisations mainly derive a competitive advantage by leveraging their intangible assets. Competent and motivated employees are the primary strategic resources to attain innovation and business continuity. Consequently, workplace learning and development (L&D) is at the forefront of the human resource management (HRM) discipline. At the same time, with the changing technology landscape, organisations are transforming their L&D function to be sustainable. Against this backdrop, the main objective of this chapter is to illustrate how artificial intelligence (AI) contributes to a specific HRM sub-function, that is, workplace L&D.

Design/Methodology/Approach: Grounded on intense scrutiny of literature, this chapter construes AI as intelligent machines that think and work like humans and have the potential for enhancing learning processes. Different themes have been presented, which suggest the capabilities of AI systems to fuel employee learning at the workplace.

Findings: Findings demonstrate that AI-enabled workplace learning is rooted in improved knowledge management (KM) capabilities, developmental feedback, personalised education, learning for a diverse pool of learners, virtual mentoring, and chatbot-based learning.

Research Limitations/Implications: This conceptual study suffers from a lack of empirical support.

Practical Implications: This chapter contributes to expanding scholarship on integrating AI and the HRM domain, particularly L&D. Further, it highlights how L&D professionals should integrate AI into employee learning journeys to evoke effective learning outcomes.

Originality/Value: This chapter provides a gestalt approach to integrating AI with employee L&D

Organization development is focused on implementing a planned process of positive humanistic change in organizations through the use of social science theory, action research, and data-based feedback methods. The role of personality in that change process, however, has historically been ignored or relegated to a limited set of interventions. The purpose of this chapter is to provide a conceptual overview of the linkages between personality and OD, discuss the current state of personality in the field including key trends in talent management, and offer a new multi-level framework for conceptualizing applications of personality for different types of OD efforts. The chapter concludes with implications for research and practice.

In this chapter, Barbara Zesik draws on her experience as an HR Director in international businesses and on her empirical research with actors in talent situations across multiple industry sectors to explore the tensions between the rhetoric and reality of life in talent pools. Focussing on the relatively under-researched social and political aspects of managing talent and using seldom heard voices from people in talent programmes she illustrates how talent identification and management ‘really works’ and offers suggestions for better practice.

Managerial anxiety as a key obstacle to managerial capability, effectiveness and meaningful talent management is explored and organisational failures, such as the lack of development for managers and the persistent use of lag-measures, such as performance ratings, in talent assessment are analysed. Empirical research, conducted applying a social constructivist perspective, is relevant to academics and practitioners alike by offering a less theoretical, and perhaps more realistic perspective of talent management practices in organisations for academics and a more pragmatic, approachable and relatable viewpoint for practitioners.

Benchmark surveys regarding talent management assessment practices and interventions of choice for organization development (OD) practitioners have shown 360-degree feedback to be a popular tool for both development and decision-making in the field today. Although much has been written about implementing 360-degree feedback since its inception in the 1990s, few longitudinal case examples exist where interventions have been applied and their impact measured successfully. This chapter closes the gap by providing research findings and key learnings from five different implementation strategies for enhancing 360-degree feedback in a large multi-national organization. Recommendations and implications for future research are discussed.

Despite considerable development in our understanding of potential over the past two decades, we argue that the failure to adequately conceptualize and manage “potential” in the context of talent management has significantly limited the ability of organizations to meet their talent needs. In this chapter, we begin by defining the concept of potential, calling attention to the need to separate it from performance. We also address the need to specify the target for judgments of potential (e.g., management level, specific roles), along with the identification of constructs to measure. The chapter highlights two contextual variables – gender and culture, including translations of language that describe relevant constructs – that may impact judgments of potential. This chapter concludes by summarizing what we know and by identifying a variety of future directions for research on the important construct of potential.

Developing global leaders is one of the most pressing needs for global companies. We present a framework for a more integrated talent management development program. The framework is based on several key principles and includes the use of assessment tools, 70-20-10 development tactics, external coaching, and an emphasis on critical experiences. We focus specifically on key considerations for implementing this type of a framework and the keys to success.