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Although female participation in the labour market has increased significantly over the last 50 years, transport remains a male dominated sector and maritime transport in particular appears to lag behind other modes. It is important to recognise that maritime careers struggle to recruit more generally. This chapter considers the gender gap in the maritime industry and asks what would make the maritime industry more attractive to women. It explores the literature through the lenses of career-decision, career decidedness and career self-efficacy in order to present a conceptual model to explain the persistent gap and consider what could be done to address it. Career choices, development and performance are affected by contextual variables, both personal and environmental, which can promote or hinder career development outcomes. In maritime transport, career perception, workplace culture, social capital and development opportunities still play a major part in the decision-making process and deter women from engaging with the maritime profession. This chapter proposes four interventions to effect much-needed change.

Misbehavior is ubiquitous. Its occurrence stretches back in time and shows little sign of abating. According to Richards (2008, pp. 653–654), organizational misbehavior “has been a prominent feature of organizational studies throughout the twentieth century and continues to command similar attention in the first decade of the twenty-first century.” Early interest has been traced back to F. W. Taylor's criticisms of workers’ restriction of output (Taylor, 2003) in the first two decades of the twentieth century, a phenomenon also considered by Donald Roy (1952, 1959) after World War Two, and subsequently extended by Jason Ditton (1977) and Gerald Mars (1982) to include workplace crimes such as “fiddles and theft.” In more recent times, such fiddles have been extended to the study of “cyberslacking” (Block, 2001), “cyberloafing” (Lim, 2002), and general workplace internet misuse (Lara, Tacoronte, Ding, & Ting, 2006). Yet, despite such interest in “organizational misbehavior,” the scholarship in this field is relatively recent and generally traced back to the work of Vardi and Wiener (1996) and Ackroyd and Thompson (1999).

The implications arising from the underrepresentation of women and inequality of female participation in leadership and senior management positions continues to challenge many sectors of the economy and transportation, including commercial aviation. Although concerted efforts have been made to introduce initiatives encouraging women into senior leadership roles, change is slow and women remain underrepresented on Senior Management Teams (SMTs) and the Executive Committees of commercial airlines and airports. Globally, and prior to the COVID pandemic, only 3 per cent of airline CEOs were women whilst women held 8 per cent of airline CFO posts and 3 per cent of COO posts (Silk, 2019).

Air transport’s apparent inability to recruit and retain women in top leadership positions poses a serious challenge to the sector and the global economy as a whole. This chapter argues that lack of gender diversity will inevitably hinder the expansion of the sector and pose a significant challenge by failing to capitalise on the skill set of women. The aim of this chapter is to examine women’s representation and progression within the UK aviation sector with a particular focus on airports.

Purpose: The purpose of this chapter is to review and critically evaluate robots, artificial intelligence and service automation (RAISA) applications in the restaurant industry to educate professors, graduate students, and industry professionals.

Design/methodology/approach: This chapter is a survey of applications of RAISA in restaurants. The chapter is based on the review of professional and peer-reviewed academic literature, and the industry insight section was prepared based on a 50-minute interview with Mr. Juan Higueros, Chief Operations Officer of Bear Robotics.

Findings: Various case studies presented in this chapter illustrate numerous possibilities for automation: from automating a specific function to complete automation of the front of the house (e.g., Eatsa) or back of the house (e.g., Spyce robotic kitchen). The restaurant industry has already adopted chatbots; voice-activated and biometric technologies; robots as hosts, food runners, chefs, and bartenders; tableside ordering; conveyors; and robotic food delivery.

Practical implications: The chapter presents professors and students with a detailed overview of RAISA in the restaurant industry that will be useful for educational and research purposes. Restaurant owners and managers may also benefit from reading this chapter as they will learn about the current state of technology and opportunities for RAISA implementation.

Originality/value: To the best of the authors’ knowledge, this chapter presents the first systematic and in-depth review of RAISA technologies in the restaurant industry.

In this chapter, we introduce readers to the volume, a collection of 13 inquiries that employ the methodology of self-study in teacher education practices (S-STEP) in culturally and linguistically diverse settings across the globe. After sharing the purpose and origins of the project, we provide an overview of the volume’s organization and brief summaries for each study. As a whole, the collection addresses two pressing yet interrelated challenges in teacher education research: understanding teacher educator development over the career span and how these scholar-practitioners prepare teachers for an increasingly diverse, mobile, and plurilingual world.