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This chapter outlines research conducted by Karan Vickers-Hulse (KVH) as part of an educational professional doctorate; Marcus Witt (MW) was one of her supervisory team. Participants were from two initial teacher education (ITE) routes (School Direct and university-led) leading to a PGCE primary teacher qualification. The research was set within the context of continuously evolving policy on the training of teachers and the subsequent impact on developing a professional identity. The introduction of new ITE routes in England (DfE, 2015) aimed to offer a wider range of pathways into teaching, attract more applicants and mitigate the impact of teacher shortages. The research discussed in this chapter explored the experiences of trainees on these routes and the impact on their professional identity formation. This chapter begins with an overview of the literature in the field of professional identity formation, followed by a discussion of the chosen methodology and methods. This chapter concludes with several recommendations for teacher training providers as well as recommendations for future research that may be useful for doctoral students interested in the field of professional identity formation.

This chapter provides an illustration of doctoral case study research and insights to how practitioner research can capture the localised impact of policy shifts.

Plant-based (PB) and meat-reduced (MR) diets have a positive impact on human and environmental health, yet consumer acceptance of such diets is relatively low. Research investigating factors influencing consumer behavior around PB and MR diets is emerging; however studies lack strong theoretically underpinned, comprehensive theoretical frameworks. In this paper we synthesize factors from current literature and propose a comprehensive theoretical model across different consumer dietary types (e.g. omnivore, flexitarian, pesco-vegetarian) and account for consumer cognitive dissonance to facilitate a transition to MR diets.

The factors are examined in a five-step integrative literature review of empirical literature about PB/MR-related consumer behavior since 1989. Studies are critically assessed across four theories commonly used to explain the different antecedents of sustainable consumer behavior. We focus on the theoretical domains framework with COM-B (capability, opportunity, motivation and behavior) framework, as it provides the strongest foundation for modelling the consumer behavior of interest.

107 studies have empirically investigated PB/MR consumer behavior. Of these, 81 studies applied some COM-B domains, but no study has captured all domains. Scant studies investigating cognitive dissonance in the PB/MR literature have been published. Different consumer dietary types are featured across 47 studies; however, none of the studies comprehensively capture all dietary types and psychological discomfort in different consumer dietary types and cognitive dissonance theory.

To synthesize the findings of the present study, we propose an alternative model to address the before-mentioned gaps identified in our critical analysis. The alternative model captures the relationships between the 12 domains of the COM-B model constructs, psychological discomfort and consumer dietary types in the PB/MR foods setting.

The proposed research model facilitates the transition from MB diets to PB diets in three ways: (1) By differentiating consumer dietary types in terms of the COM domains influencing their PB/MR behaviors, PB-producing businesses could better target their foods to hitherto overlooked consumer dietary categories, such as lacto-vegetarians or emerging categories, such as flexitarians, through more refined segmentation and sharper profiling of consumers. (2) Knowing the level of capabilities of consumers in respect of cooking skills and knowledge about purchasing and preparing PB foods could help marketers develop strategies to improve buyers' skills and knowledge. (3) With an understanding of the opportunities (from the Opportunity domain of the COM-B model), including environmental context and resources and social influences, PB food businesses could more effectively market their PB food products. (4) It provides an understanding of capability, motivation and opportunity factors separately but also the interrelationship between these COM domains, as all these variables are intertwined.

Our ILR with the proposed model and the resulting research helps facilitate progress in the transition to PB diets necessary for more sustainable global food production and consumption.

The paper is the first to critically assess existing PB/MR literature regarding each of the COM-B domains, psychological discomfort and the six dietary types. We propose an alternative research model to address the gaps in literature and explain the antecedents and moderators in PB/MR dietary transition. The proposed model may provide information for practitioners and future researchers to understand a wider range of relevant factors influencing consumer’s behavior in transitioning to PB/MR diets.

Our chapter focuses on the disconnect between economic and cultural policies and the needs of individual firms and creative industry professionals, all of which affect creative and cultural industry (CCI) entrepreneurship in the 21st century. After a review of selected policy trends and the overlooked role of creative industries in developing more sustainable liveable communities worldwide, we discuss recommendations by chapter authors in volumes 18A and 18B for useful policy actions, not only in and for their respective countries of study but also for other geographical contexts. Our particular focus is on how the CCIs have contributed to developing sustainable societies and meeting many targets of the Sustainable Development Goals. Thereafter, we provide an overview of the fifteen chapters distributed over five sections: ‘unusual and temporary places for CCI entrepreneurship’, ‘economic perspectives on CCI entrepreneurship’, ‘organising clustering of CCI entrepreneurs’, ‘cognitive aspects of doing CCI entrepreneurship’, and ‘social spaces and placemaking for CCI entrepreneurs’. Topics discussed include CCI entrepreneurship in rural areas (heritage entrepreneuring, book festivals), social work spaces, creativity and neuroentrepreneurship, strategic networking management for creatives, tensions from economic and artistic logics, collaboration challenges, street art and arts festivals. Countries considered include Estonia, Nigeria, Norway, South Africa, the United Kingdom, and Zimbabwe. We conclude the chapter with a selection of policy implications of chapters in both volumes 18A and 18B, and a research programme and manifesto for researchers to develop novel insights for policymakers, aimed at strengthening the important role of the CCIs in creating more liveable sustainable communities and economies.

This research explores the drivers that determine the ability of spontaneous volunteer groups (SVGs) to sustain their operations. That sustainability aims to support those affected in the community beyond the response phases of a disaster and into the recovery and mitigation phases to build resilience to the next disaster.

To investigate the sustainability of spontaneous volunteering that takes place in the aftermath of a disaster, we conducted qualitative interviews in three English locations where groups of spontaneous volunteers emerged following major floods. We analysed our qualitative data using thematic analysis.

Our findings theorise the drivers of SVG sustainability and present these in four themes: (1) assessment of ongoing needs; (2) organisation of resources to address that need; (3) leadership and followership creating a weight of operational capability and (4) influence of political will. Through exploring these drivers, we uncover key factors to developing a sustainable SVG system including trusted leadership and social capital.

We show how the four drivers interact to support the continuity of SVGs and sustain their operations. This has implications for how leaders of SVGs create a volunteering environment that encourages ongoing involvement and has implications for officials to view SVGs as a support rather than a risk.

The novelty of our paper is in rejecting the argument of the temporal limit of SVGs to the response phase by theorising the drivers that make their operations sustainable for recovery and resilience building to mitigate the next disaster. This includes our examination of the interplay between those drivers.

This chapter explores the global impact of the COVID-19 pandemic on airline employment from the onset of the pandemic until 2023. Using data from the International Civil Aviation Organization, this chapter evaluates the employment effects of the pandemic across hundreds of airlines around the globe and provides an examination of the job loss and rebound following the onset of the pandemic. A comparative analysis of the global employment changes in varying job types – including flight operations, maintenance, and ticketing – is presented. From the sample of global airlines, results indicate that airline employment was reduced by over 180,000 employees in 2020 with maintenance personnel experiencing the greatest reduction in employment. These results are discussed in the context of government intervention and industry-targeted stimulus programs. A case study of the US airline labor market provides a more detailed examination of the employment changes across various airlines and employees. These results suggest that employees at low-cost carriers have fared better than full-service national carriers; however, airline employees were not equally affected with women’s employment more greatly impacted, and slower to recover, than men’s employment. The transformations in labor relations and industrial action are also explored as air travel demand has rebounded and an anticipated shortage of skilled airline workers threatens the industry. Finally, these changes in employment and labor actions are compared with the effects from the Great Recession and September 11, 2001, and the implications for the future of the industry are discussed.

Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.

This study explores the factors influencing artificial intelligence (AI)-driven decision-making proficiency (AIDP) among management students, focusing on foundational AI knowledge, data literacy, problem-solving, ethical considerations and collaboration skills. The research examines how these competencies enhance self-efficacy and engagement, with curriculum design, industry exposure and faculty support as moderating factors. This study aims to provide actionable insights for educational strategies that prepare students for AI-driven business environments.

The research adopts a hybrid methodology, integrating partial least squares structural equation modeling (PLS-SEM) with artificial neural networks (ANNs), using quantitative data collected from 526 management students across five Indian universities. The PLS-SEM model validates linear relationships, while ANN captures nonlinear complexities, complemented by sensitivity analyses for deeper insights.

The results highlight the pivotal roles of foundational AI knowledge, data literacy and problem-solving in fostering self-efficacy. Behavioral, cognitive, emotional and social engagement significantly influence AIDP. Moderation analysis underscores the importance of curriculum design and faculty support in enhancing the efficacy of these constructs. ANN sensitivity analysis identifies problem-solving and social engagement as the most critical predictors of self-efficacy and AIDP, respectively.

The study is limited to Indian central universities and may require contextual adaptation for global applications. Future research could explore longitudinal impacts of AIDP development in diverse educational and cultural settings.

The findings provide actionable insights for curriculum designers, policymakers and educators to integrate AI competencies into management education. Emphasis on experiential learning, ethical frameworks and interdisciplinary collaboration is critical for preparing students for AI-centric business landscapes.

By equipping future leaders with AI proficiency, this study contributes to societal readiness for technological disruptions, promoting sustainable and ethical decision-making in diverse business contexts.

To the author’s best knowledge, this study uniquely integrates PLS-SEM and ANN to analyze the interplay of competencies and engagement in shaping AIDP. It advances theoretical models by linking foundational learning theories with practical AI education strategies, offering a comprehensive framework for developing AI competencies in management students.

Esports game developers are incorporating interactive virtual shopping (IVS) experiences into their products to facilitate consumer–brand interactions. Despite the potential influence of IVS, existing research lacks an understanding of its impact on consumers’ overall affect– particularly game enjoyment, a critical factor in sustaining engagement with esports products – and on attitudinal change toward brands in the real world.

An experiment was designed to examine the impact of shopping in the virtually interactive esports marketplace on game enjoyment. Mediating effects of positive change in brand attitude, perceived realism and character attachment and the moderating effect of self-avatar gender congruity were investigated using SPSS PROCESS Macro. Additionally, the impact of brand popularity on the relationship between IVS and brand attitude was examined using analysis of covariance (ANCOVA).

There was a positive impact of IVS on game enjoyment, mediated by a positive change in brand attitude, perceived realism and character attachment. Self-avatar gender congruity moderated the mediation effect of perceived realism. Notably, less popular brands exhibited a greater change in brand attitude compared to more popular brands.

The findings add to the body of literature on esports, particularly in investigating the role of IVS within the esports virtual world and advancing research on cognitive appraisal theory. This study informs practitioners in the esports industry about the value of creating interactive virtual marketplaces, as they serve to benefit sponsoring brands and enhance game enjoyment for players.

This study aims to endeavor to shed light on the underlying causal mechanisms behind the failure of startups by examining the failure process in such organizations. To achieve this goal, the study conducted a comprehensive review of the literature on the definition of failure and its various dimensions, resulting in the compilation of a comprehensive list of causes of startup failure. Subsequently, the failure process was analyzed using a behavioral strategy approach that encompasses rationality, plasticity and shaping, as well as the growth approach of startups based on dialectic, teleology and evolution theories.

The proposed research methodology was a case study using process tracing, with the sample being a failed platform in the ride-hailing technology sector. The causal mechanism was further explicated through the combined application of the behavioral strategy approach and interpretive structural modeling analysis.

The findings of the study suggest that the failure of startups is a result of interlinked causes and effects, and growth in these organizations is driven by dialectic, teleology and evolution theories.

The outcomes of the research can assist startups in formulating an effective strategy to deliver the right value proposition to the market, thereby reducing the chances of failure.