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In the workplace, the aim of positive organizational behavior (POB) is to promote the strengths and proficiencies of the institution’s human capital in the belief that doing so increases work productivity and boosts employee morale while decreasing stress and employee burnout. POB, incorporating the tenets of positive psychology within its framework, emphasizes that the psychological states of self-efficacy, hope, optimism, and resiliency are able to be quantified, improved, and controlled. The purpose of this chapter is to introduce the concept of POB, to explore its impact on leadership development (particularly by examining the authentic leadership model), to discuss its human resource development (HRD) applications in the workplace, and to apply the POB concept to academic and public library directors with the aim of producing a better working environment for all library staff. A conceptual approach is employed throughout the chapter to provide a theoretical analysis of how the POB concept could be utilized by library administrators. Using a variety of tools such as modeling, coaching, and rewarding innovation to produce the desired behaviors in subordinates, administrators can help to create an organizational climate within their institutions that values positivity over negativity. As a recently emerged phenomenon, POB is still developing, producing two important concepts on its own, namely authentic leadership and psychological capital, which have not been applied to the library profession. This chapter adds a unique perspective to the growing POB literature.

Drawing on assemblage theory (Deleuze & Guattari, 1987; DeLanda, 2006), this conceptual chapter seeks to provide an analytical lens for examining the power and capacity of Big Data analytics to exercise territorializing and deterritorializing effects on compound polities and supranational organizations. More specifically, the modern massive agglomeration of data streams and the accelerated computational power available to sort and channel them in effecting actions, decisions, and reconfigurations in contemporary assemblages, necessitate new exploratory tools to examine the impact of such trends on educational phenomena from a comparative perspective. In the first part, the chapter builds an analytical instrumentarium useful in theoretically elucidating the effects of Big Data on complex assemblages and serves as a methodological extension in investigating the ramifications of these effects on educational systems, spaces, and policyscapes. The second part sets out to illustrate how assemblage theory can explain the tension between the formal use of large official statistical data sets as a type of “regulated” Big Data, and the informal use of social media, as a type of “unregulated” Big Data, to construct or deconstruct, respectively, interlacing/interlocking components of assemblages, such as supranational organizations or compound polities. The European Union (EU) and the Caribbean Community (CARICOM) are taken as examples of complex assemblages in which the long-standing utilization of EU’s Eurostat and CARICOM’s Regional Statistical Database have served as territorializing forces in consolidating policy logics and in legitimizing decision-making at the supranational level, while the emergence of “loose” social networking technologies appears to have deterritorializing effects when employed deliberately to delegitimize or subvert socio-political processes across supranational polities.

The literature on midlife transformation indicates that many Chinese executives seem to be experiencing “midlife crisis” and at a younger age than observed in Westerners. This chapter suggests that such phenomena are less chronologically aged based and more related to how individuals are perceiving, understanding, and reacting to the changing cultural and role contexts they are interacting with in rapidly modernizing China. Kegan's constructive-developmental theory of an individual's meaning-making provides a conceptual basis for better understanding of how mid-career Chinese business executives working in multinational firms are dealing with the complexity and speed of change in China. This chapter discusses Kegan's theory as well as some of the literature on midlife crisis and then applies those insights to executive coaching through a recent Chinese executive coaching case.

Talent management (TM) is widely seen as a key organizational challenge necessary to sustain competitive advantage. While academia has mostly focused on HRM practices associated with exclusive TM targeting organizational high performers at higher managerial levels, there are reasons why organizations should consider a more inclusive talent management (ITM) approach. They include the growing diversification of organizations and the global workforce caused by demographic changes and mobility across borders, overall talent scarcity and hard to predict market dynamics which all make future talent needs hard to anticipate. Issues such as employee perceptions of organizational justice and fairness are also important. Moreover, existing HRM orthodoxy concerned with investing in the company’s human resource and the wellbeing of employees pushes companies to invest in ITM as a path to a better working environment characterized by openness, trust and overall well-being. Few TM researchers, however, pay sufficient attention to the problems of organizational inequality and social segregation that exclusive TM might occasion and thus disregard how social exclusion and economic inequality continue to characterize many organizations. The ambition of this chapter therefore is to contribute to the development of an inclusive approach to TM. We add to the notion of ITM by bringing in literature on inclusive organizations which is absent from current theoretical development. Building on current conceptualizations in particular by Swailes et al. (2014) and Meyers and Woerkom (2014), we ask: How can literature on organizational inclusion contribute to developing more fair and equal organizations through inclusive TM practices?

Educators strive to develop and implement high impact educational experiences, which are critical to ensuring university courses and curricula serve as memorable and transferable learning experiences for students. It is not clear, however, which experiences are exceptional from a student perspective, or what kinds of illustrative examples exist in applied disciplines. In this chapter, we ground our discussion of high impact educational experiences in the field of program evaluation, contextualize it as organized at the University of Minnesota, describe three experiences that have been repeatedly described as impactful by students, and engage in a collective dialogue as teachers and learners.

A core assumption of exclusive talent management is that some employees have more talent than others. Performance data and talent reviews provide some support for this assumption yet there are grounds thinking that a proportion of talent identification is false; average people can be included, talented people can excluded. In an exploration of how talent recognition is exposed to risk, this chapter considers two approaches to talent that are seldom treated together. First, the social construction of talent is developed in ways that highlight the dangers that inevitably arise in talent recognition processes. A social constructionist treatment raises the prospect of ‘empty’ talent pools and the chapter explores the ethical and moral issues arising and questions whether it matters that talent pools might be empty. Second, talent is considered as an innate characteristic of people highlighting that talents are not static and continue evolving up to a point. As such, and if so, it is right that organizations should look periodically for talent across their employee base. The chapter highlights areas for further research into the existence of ‘the talented’ in business contexts and in particular the question of how much talent pools actually contain people with above average talent. The practical implications of appreciating both social and natural bases of talent are considered.

Introduction: Human resource management (HRM) is going through a transformation phase due to the pandemic. The COVID-19 crisis compelled the employees to work virtually. To mitigate the effects of COVID-19, several organisations heavily invested in artificial intelligence (AI) in the realm of HRM.

Purpose: With limited studies on the paradigm shift in HRM post-pandemic and the role of AI, the study investigates and proposes a conceptual framework for the paradigm shift in HRM practices post-COVID-19 pandemic and the significance of AI. Furthermore, the study investigates the outcomes of the use of AI in HRM for organisations and employees.

Methodology: A comprehensive review of the literature based on the guidelines of Tranfield, Denyer, and Smart (2003) and Crossan and Apaydin (2010) has been followed. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes involved.

Findings: COVID-19-related economic disruption has led to a paradigm shift in HRM practices. AI-enabled HRM practices are now centred around remote and contingent workforce management, mindfulness, social capital, increasing employee engagement, reskilling and upskilling towards new competencies, etc. AI is making remote work seamless through smooth recruitment and selection process, onboarding, career and development, tracking and managing the performance, facilitating learning, and talent management. Post-pandemic, AI-powered tools based on data mining (DM), predictive analytics, big data analytics, natural language processing (NLP), intelligent robots, machine learning (ML), virtual (VR)/augmented reality (AR), etc., have paved the way for managing the HRM practices effectively, thereby leading to enhanced organisational performance, employee well-being, automation, and reduced cost.