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Sandwich generation (SG) women face the double burden of caring for both their own children, and possibly grandchildren, as well as caring for their elderly relatives. Conflicts and pressures tend to arise and the book provides a range of evidence from the European Union (EU). The concluding part of the book summarises the main results and draws conclusions on the research based on the viewpoints presented in the previous chapters. The chapter presents recommendations for employers, career coaches and policy-makers for supporting SG women in working life.

This chapter discusses female managers’ and entrepreneurs’ views on lifelong learning. The main empirical data were drawn from interviews with 67 women participating in training and coaching programmes in South Savo, Finland, in 2017–2021. Many of the women belonged to the working sandwich generation (WSG). The particular focus was on how lifelong learning relates to these women’s careers, wellbeing at work, work–life balance and search for meaningful lives. A model integrating women’s earning, learning and meaning aspects of work and life was developed. The findings of the study show that considering women’s fragmented work careers, lifelong learning is often crucial for them. For an individual, opportunities for lifelong learning and meaningful work assure personal development, wellbeing at work and a sustainable career. For employing organisations, offering opportunities for learning and meaningful work for their employees constitutes a competitive advantage.

High turnover rates, delay and dissatisfaction among PhD students about the high efforts and low rewards are common problems in doctoral education. Research shows that many different factors are associated with the mental health crisis in graduate education, but these diverse aspects have not often been studied in relation to talent management and human resource management (HRM) strategies. Based on questionnaires and in-depth interviews, this chapter critically assesses the factors that influence doctoral students’ well-being, using as theoretical framework the self-determination theory, concerned with the social and other conditions that facilitate or hinder human well-being and flourishing, and the job demands–resources model, an occupational stress model that suggests strain is a response to imbalance between demands on the individual and the resources he or she has to deal with those demands. These theoretical frameworks help to explore the perceived job demands and resources, and motivations of a sample of 25 PhD students in the Netherlands, in order to recommend adequate talent management strategies to improve PhD work conditions at universities and reduce the increasing levels of ill-being. The study proposes a collegial model, focussing on the enjoyment of work, instead of the current managerial model, which focusses on strengthening knowledge and skills, and stimulating performance-oriented behaviour. A differentiated approach is needed, offering customized talent development for each PhD student in order to respond to his or her specific qualities, improving general well-being. This radical shift in talent management is needed to counter the mental health crisis in doctoral studies.

Talent management in higher education institutes is an underexplored topic. Only a small portion of talent management publications is focussed on describing talent management in higher education institutes. In this chapter, we give an overview of the most important topics in the talent management literature in general and link it to what is known about these issues in higher education. It discusses the definition of talent and talent management, the talent management process and the multilevel outcomes of talent management, the fairness and justice issues related to talent management and the importance of embedding the analysis of talent management in its broader organizational and institutional context. In the final part of this introduction chapter, we will explain how the talent management topics are discussed in the subsequent chapters of this book.

Organizations across industries are increasingly using Artificial Intelligence (AI) systems to support their innovation processes, supply chains, marketing and sales and other business functions. Implementing AI, firms report efficiency gains from automation and enhanced decision-making thanks to more relevant, accurate and timely predictions. By exposing the benefits of digitizing everything, COVID-19 has only accelerated these processes. Recognizing the growing importance of AI and its pervasive impact, this chapter defines the “social value of AI” as the combined value derived from AI adoption by multiple stakeholders of an organization. To this end, we discuss the benefits and costs of AI for a business-to-business (B2B) firm and its internal, external and societal stakeholders. Being mindful of legal and ethical concerns, we expect the social value of AI to increase over time as the barriers for adoption go down, technology costs decrease, and more stakeholders capture the value from AI. We identify the contributions to the social value of AI, by highlighting the benefits of AI for different actors in the organization, business consumers, supply chain partners and society at large. This chapter also offers future research opportunities, as well as practical implications of the AI adoption by a variety of stakeholders.

People with a dual care task at home, taking care of a younger and an older generation family member, are often called the sandwich generation (SG). They are more often women than men, at high risk of burnout or withdrawal from the labour market. This book provides international comparisons and offers tools for working sandwich generation (WSG) women and their supervisors for managing challenging situations in working life. The book is multidisciplinary and combines theories with qualitative and quantitative empirical research, practical tools and case studies. This chapter introduces the themes and relevant concepts of the book and presents its structure.

This chapter analyzes what happens to media use when everyday life is suddenly disrupted, focusing on how the COVID-19 pandemic transformed work, socializing, communication and everyday living. The empirical case is changing media use in Norway during the pandemic, building on a qualitative questionnaire survey conducted in early lockdown, and follow-up interviews eight months later. Expanding on the ideas of destabilization of media repertoires developed in the former chapter, this analysis discusses transforming media repertoires as more digital, as less mobile (but still smartphone-centric) and as essentially social. The chapter further explains new concepts for pandemic media use practices, such as doomscrolling and Zoom fatigue.