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The purpose of this article is to introduce a narrative framework for leadership education as a lens for exploring how emerging adults make sense of their leader identity development. This narrative framework, called Communicated Narrative Sense Making (CNSM), looks at identity through storytelling processes. Emerging adults in higher education have different experiences and come to a new awareness of themselves in a context in a variety of ways. Part of this development process is establishing an identity as a leader. We propose a narrative framework as an approach for exploring the experiences and sense-making processes of leader identity development in emerging adults.

The purpose of the current innovative practice paper is to introduce a technique to explore leader identity development and meaning-making that builds on the narrative pedagogical tradition. In this paper, we recommend a process for combining turning-point graphing and responsive (semi-structured) interviews to co-explore leadership identity development and meaning-making with college students.

The paper provides student feedback data on the effectiveness of the technique in improving understanding of leader identity and transforming meaning-making.

We hope practitioners can utilize this approach to build leadership identity development and meaning-making capacity in college students.

The purpose of this phenomenological study is to explore leader identity development experiences of emerging adults at a large Midwest university and how retrospective family storytelling (Koenig Kellas, 2018) plays a role in the sense-making of the leader identity process. Through a unique, three-phase qualitative and narrative inquiry approach, this research further explores LID sense-making through retrospective family storytelling.

Qualitative phenomenology and narrative inquiry approach. Data collection consisted of three different data sets: (a) two semi-structured interviews, (b) leader artifacts and (c) journals.

The stories told by the emerging adults described how key messages influenced their identity within the context of leader identity development and their college experiences. Furthermore, a key finding in the narratives exhibited the stories emerging adults recalled in the sense-making of their leader identity centered on persevering, overcoming hardships and interpersonal connections and relationships. Findings from this research contribute to LID literature for leadership educators, researchers and practitioners in leader development.

The research presented in this article advances LID by using a narrative approach to explore the role of family narratives in identity development. Further, it approaches qualitative work with rigorous data collection and analysis processing using a cross-case analysis to develop leader identity archetypes. This study directly impacts those who work with emerging adult college students and supports the development of college student leaders.

Purpose – This chapter explores the use of music and celebrity endorsements in political campaigns of the United States. It focuses on two aspects: (1) the legality of a political campaign’s use of music at rallies and in advertisements without authorization from the owner of the musical work and (2) a review of the literature on the potential effect of the use of music in political campaigns on voter behavior.

Design/methodology/approach – A brief history of the use of music in political campaigns precedes an examination of the expansion of copyright law protection for music and the legal claims musicians may raise against the unauthorized use of music by political campaigns. The chapter then reviews the potential effect of political campaigns’ use of music and celebrity endorsements on voter behavior.

Findings – A musician’s primary legal protection falls under copyright law, but the courts disagree on whether the unauthorized use of music at political rallies and in political campaign advertisements results in copyright infringement. Social research suggests music and celebrity endorsements affect voter behavior with a likely greater effect on first-time voters.

Originality/value of chapter – This chapter introduces the complicated application of copyright law to the unauthorized use of musical works by political campaigns. Additionally, it notes the limited research on the effect of music and celebrity endorsements on voter behavior even as political campaigns increasingly target niche demographics with specific music selections to motivate voters to vote.

During the 2020 election cycle, 2,276 super PACs spent over $2.1 billion in federal elections. This chapter argues that changes made to the US campaign finance system brought about by the Citizens United v. FEC (2010) and SpeechNow.org v. FEC (2010) cases have destabilized the American political system by fueling tensions between right-wing and left-wing populist factions and by contributing to congressional corruption. By moving away from the political corruption standard and toward the free speech standard in Citizens United, polarizing wealthy mega-donors and dark money sources have come to play a dominant role in congressional elections. These cases also helped to contribute to a two-tiered campaign finance regulatory structure that distinguishes between campaign contributions given directly to federal candidates and political money contributed to super PACs to support or oppose federal candidates. In the 2020 congressional elections, PACs and super PACS outspent both major party candidates combined in 35 House and Senate races. Super PACs are serving as “shadow parties” by targeting competitive races for the purpose of swaying partisan control of Congress. This study also shows that an exceedingly high percentage of super PAC money is spent on negative advertising that further divides rather than unifies the nation. This chapter also highlights the corrupting influence of congressional leadership PACs and examines how super PACs have enabled foreign and dark money sources to illegally influence congressional campaigns.

Today, appearance is an integral aspect of a politician's image and personality and therefore his or her brand (Budesheim & DePaola, 1994; Sanghvi & Hodges, 2015; Smith & French, 2009). While appearance is critical to political marketing, most of the research focusing on appearance in politics is experimental in nature (Lenz & Lawson, 2011; Olivola & Todorov, 2010; Todorov et al., 2005). This study investigates the importance of appearance for marketing politicians through a qualitative interpretivist framework that offers implications for theory. Moreover, this chapter offers a specific focus on the importance of appearance for female politicians.

Research shows women face greater scrutiny on their appearance (Carlin & Winfrey, 2009; Sanghvi, 2018). This chapter examines myriad of issues women in politics face based on their appearance. It also examines how women have successfully managed the issue of appearance at local, state and national levels. Thus, this study delivers a multifaceted view of the topic and facilitates the understanding of how appearance management enters into the political marketing process.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.

Artificial intelligence (AI) is a significant game changer in human resource development (HRD). The launch of ChatGPT has accelerated its progress and amplified its impact on organizations and employees. This study aims to review and examine literature on AI in HRD, using a bibliometric approach.

This study is a bibliometric review. Scopus was used to identify studies in the field. In total, 236 papers published in the past 10 years were examined using the VOSviewer program.

The obtained results showed that most cited documents and authors are mainly from computer sciences, emphasizing machine learning over human learning. While it was expected that HRD authors and studies would have a more substantial presence, the lesser prominence suggests several interesting avenues for explorations.

This study provides insights and recommendations for researchers, managers, HRD practitioners and policymakers. Prioritizing the development of both humans and machines becomes crucial, as an exclusive focus on machines may pose a risk to the sustainability of employees' skills and long-term career prospects.

There is a dearth of bibliometric studies examining AI in HRD. Hence, this study proposes a relatively unexplored approach to examine this topic. It provides a visual and structured overview of this topic. Also, it highlights areas of research concentration and areas that are overlooked. Shedding light on the presence of more research originating from computer sciences and focusing on machine learning over human learning represent an important contribution of this study, which may foster interdisciplinary collaboration with experts from diverse fields, broadening the scope of research on technologies and learning in workplaces.