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Lesbian, gay and bisexual (LGB) employees constitute one of the largest, but least studied, minority groups in the workforce. This article examines what we know, and what we need to know, about the career and workplace experiences of this understudied population. The construct of sexual identity is defined, followed by a review of the research on sexual orientation in the workplace. Then an analysis of the differences between LGB employees and other stigmatized groups is presented. Three unique challenges facing LGB employees are identified, and conceptual models are developed that explain underlying processes. Finally, career theories are critically analyzed, and an identity-based longitudinal theory of LGB careers is presented.

We investigate the relationship between job complexity and skill development of adult workers in Europe using the Cedefop European Skills and Jobs Survey. ¹ The results suggest that challenging workplaces in which jobs are designed to include complex tasks that place high demands on workers’ skills also stimulate skill development. Increasing the degree of job complexity has positive and robust effects on the degree of skill development. Skill development is also positively linked to job tenure. The analysis stresses the importance of on-the-job learning and contextual workplace characteristics for adult workers’ skill development.

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

Occupational stress is common in the workplace and leads to various negative outcomes such as burnout, turnover, and medical problems. Although occupational stress is associated with negative connotations, it also can foster workplace resiliency. Workplace resiliency involves the ability to recover quickly in the face of adversity. Emotionally laborious jobs, or jobs in which employees must modify, manage, or regulate their emotions as part of their work role, are inherently stressful. Thus, such jobs, while stress-inducing, may also offer employees opportunities to become more resilient at work. Currently, display rules, rules encouraging the suppression and expression of certain emotions, dictate workplace emotions and thus, interactions. Ultimately, display rule adherence makes it difficult for employees engaging in emotional labor to build resilience. In this chapter, the authors detail how and when emotional labor encounters lead to episodic and prolonged workplace resilience. Specifically, the authors outline instances in which employees engaging in emotional labor can create and sustain workplace resiliency by not deploying an acting strategy and instead, breaking character. The authors further discuss individual and organizational factors that may impact this process as well such as personality and organizational culture that serve as potential boundary conditions to workplace resilience capacity. The authors conclude with implications for both researchers and practitioners.

This chapter aims to consider workplace spirituality from a cross-cultural perspective. The terms workplace spirituality and culture are so intangible, and both start with the attitude and behavior of humans but are meaningful in a community. Because of the constraint of understanding these abstract settings, it is necessary to define and specify the dimensions of both concepts to achieve the aim of this chapter. In this regard, the section starts with the conceptuality of workplace spirituality and the dimensions of the term, which cumulate at individual, group, and organizational levels. It goes with the part of cultural dimensions in the light of Hofstede's (2001) direction, Chhokar, Brodbeck, and House's (2007) extension, and Sharma's (2010) derivation of cultural dimensions for national, organizational, and individual levels, respectively. After joining the dots, the chapter focuses on one of the most sacred research areas for academic literature, cross-cultural differences, and workplace spirituality. The last part of the chapter is the conclusion to point to final notes about the concepts and help guide future studies.

The objective of this study was to investigate and explore the emotion experiences of employees in a work context. A non-probability sample (N=52) was taken from the mining industry in the North West and Gauteng Provinces of South Africa. Data collection was done through a phenomenological method of semistructured in-depth interviews and observations. Content analysis was used to analyze and interpret the research data through open coding. The main goal was to determine the emotion experiences of employees, and the following three themes were extracted on the basis of three research questions: what are the particular emotions employees experience at work; what are the specific events or situations that lead to these emotions; and how do employees manage or control these emotion experiences. Some of the emotions experienced were anger, aggression and frustration, disappointment, and suspicion, skepticism and cynicism. The specific events were divided into three levels namely organizational, group, and individual level. Some of these events included organizational culture, lack of managerial support, supervisory relationships and ineffective communication, relationships at work, and role conflict. It was also found that employees make use of emotion work, emotional intelligence, and emotional distancing and detachment to regulate and manage emotion experiences.

Purpose – This chapter outlines the need for policy packages in urban areas, demonstrates how effective policy packages can be designed by combining appropriate policy instruments and discusses the implications for Chinese cities.

Methodology – The results in the chapter are derived from a predictive model of two UK cities (Edinburgh and Leeds), an objective function to reflect a city's objectives and constraints, and an optimising routine which identifies the most effective level of intervention for each policy instrument.

Findings – Where available, fuel taxes, fare levels, road pricing charges, low-cost capacity improvements and public transport frequencies are the most effective policy instruments. Optimal combinations designed to cost no more than current strategies offer substantial benefits to society. Infrastructure projects typically offer much lower value for money. Strategies designed to meet challenging climate change targets can be designed, but may well substantially reduce other benefits.

Research limitations/implications – Other policy instruments such as awareness campaigns and walking and cycling measures could be tested in a similar way. Similar analyses could be conducted in high growth contexts typical of Chinese cities.

Practical and social implications – Policy packages will be important for Chinese cities. They are likely to differ from European specifications, and include greater use of infrastructure. The methodology presented here could be applied to their design.

Originality – The chapter brings together research reported elsewhere, presents some new results on synergy and discusses the implications for China.

Researchers in the field of leadership are increasingly turning their attention to the concept of emotional intelligence (EI) to better understand how aspects of individual difference may help to explain variations in leadership behavior. Importantly leadership practices that foster positive affectivity have been found to be associated with important job- and work-related outcomes. This study aims to investigate whether EI moderates the relationship between a measure of leader–member exchange (LMX) and important work-related outcomes within Malaysia. LMX was found to be positively associated with organizational citizenship behavior, job satisfaction, organizational commitment, psychological well-being (PWB), and in-role performance. However, the relationship between LMX and job satisfaction, LMX and organizational commitment, LMX and PWB, and LMX and in-role performance was also found to be moderated by EI. The findings suggest that EI can help leaders and subordinates to facilitate stronger identification and emotional attachments with each other.