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Academic and practitioner attention to the constructs of authentic leadership and work engagement and their implications for organizations has grown dramatically over the past decade. Consideration of the implications of these constructs for high-performance human resource practices (HPHRP) is limited, however. In this monograph, we present a conceptual model that integrates authentic leadership/followership theory with theory and research on HPHRP. Then, we apply this model to systematically consider the implications of skill-enhancing, motivation-enhancing, and opportunity-enhancing HR practices in combination with authentic leadership for authentic followership, follower work engagement, and follower performance. We contend that authentic leadership, through various influences processes, promotes HPHRP, and vice versa, to help foster enhanced work engagement. By cultivating greater work engagement, individuals are motivated to bring their best, most authentic selves to the workplace and are more likely to achieve higher levels of both well-being and performance.

We present a peer-to-peer teaching approach designed to prepare introductory accounting students to address ethical challenges they will face in the workplace. We describe the motivation, processes, and resources used, introduce an effectiveness measure and discuss refinements so that other universities may adopt the innovation.

Upper division Beta Alpha Psi (BAP) accounting honor society members, with faculty guidance, create and deliver workshops in the 200-level introductory accounting sequence using the Giving Voice to Values (GVV) curriculum. GVV provides tools to move from recognition to action when confronted with a values conflict. The BAP members had completed the GVV exercises and casework in their upper division accounting courses. Now as peer coaches, they guide sophomore-level business students through the GVV curriculum to prepare them to act on their values when challenged.

Post-training perceptions express consistent beliefs that the introductory accounting students’ skills and abilities had improved with the training. Additionally, introductory accounting students’ descriptions of how they would address values conflicts based on what they learned in the training reflects development of personalized specific approaches.

GVV provides students with an action-based ethics toolkit to build upon as they move forward academically and professionally. The peer-to-peer innovation builds stronger mentor and mentee ties and introduces the business program’s ethical culture to sophomore-level business students.

The innovation won the 2014 Beta Alpha Psi Ethics Award sponsored by Grant Thornton and reflects the first use of a peer-to-peer approach with GVV in a university setting.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.

While there have been several quantitative studies about potential motivations for space tourism, there is a lack of qualitative research which explores these motivations in greater scope and depth. This chapter, based on the data gathered from face-to-face, telephone, and online interviews of potential space tourists, identifies nine likely motivations for space tourism, with hedonic examples such as thrill-seeking or risk-taking; eudaimonic examples such as challenge, curiosity, spirituality, and nostalgia; and extrinsic cases such as seeking distinction or a desire to motivate and assist others. Suggestions are made for marketing future space tourism experiences, as well as recommendations for succeeding research.

Inquiry-Based Science Education (IBSE) is considered as a powerful pedagogical practice for renewing science teaching in and out of school. However, despite the spread of IBSE projects, solid evaluation practices have not yet been adequately developed. Practitioners are often uncomfortable with the evaluation task, usually spending little time on it and using poor tools to evaluate IBSE activities. To investigate this issue, we developed an analysis of the European project INQUIRE within the framework of Evaluation Capacity Building theory (ECB). INQUIRE fosters IBSE activities in schools and botanic gardens, promoting training for teachers and educators working with pupils aged between 9 and 14. ECB aims at developing evaluation capabilities in order to conduct rigorous evaluation. Adopting a mixed-methods approach, we systematically analysed evaluations used within courses held in Italy over two years (2011–2013). Study findings suggest that the INQUIRE project has helped practitioners to improve their ability to conduct effective evaluations. However, we also identified two concerns, as IBSE practices tend to focus on cognitive rather than cooperative teaching elements, and on summative rather than formative evaluation methods. The following four recommendations are consequently suggested: promoting dynamic assessment processes, ensuring clearness and flexibility, valuing tacit knowledge, and fostering cooperation.

Organizational behavior scholars have long recognized the importance of a variety of emotion-related phenomena in everyday work life. Indeed, after three decades, the span of research on emotions in the workplace encompasses a wide variety of affective variables such as emotional climate, emotional labor, emotion regulation, positive and negative affect, empathy, and more recently, specific emotions. Emotions operate in complex ways across multiple levels of analysis (i.e., within-person, between-person, interpersonal, group, and organizational) to exert influence on work behavior and outcomes, but their linkages to human resource management (HRM) policies and practices have not always been explicit or well understood. This chapter offers a review and integration of the bourgeoning research on discrete positive and negative emotions, offering insights about why these emotions are relevant to HRM policies and practices. We review some of the dominant theories that have emerged out of functionalist perspectives on emotions, connecting these to a strategic HRM framework. We then define and describe four discrete positive and negative emotions (fear, pride, guilt, and interest) highlighting how they relate to five HRM practices: (1) selection, (2) training/learning, (3) performance management, (4) incentives/rewards, and (5) employee voice. Following this, we discuss the emotion perception and regulation implications of these and other discrete emotions for leaders and HRM managers. We conclude with some challenges associated with understanding discrete emotions in organizations as well as some opportunities and future directions for improving our appreciation and understanding of the role of discrete emotional experiences in HRM.

This chapter aims to investigate sentiments of blue-collar workers, specifically couriers, during Covid-19 pandemic. Data are collected from the online review posting platform, where employees and previous employees of a Turkish delivery company posted their comments on the company as an employer. The results reveal that there are mainly four topics on which the reviewers discuss: work environment, compensation, salary and working hours, and lay-off procedures. The analyses indicate that the most discussed topic is compensation, while the most negative sentiments appear to be on lay-off procedures.