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Pulse check on discipline degrees for changed status quo is vital to ensure global futures for international enrolments (IEs). While employers spend less on training and more on innovating, can IEs manage time spent wisely and profitably (self-sufficiency) via collecting demand-driven credentials (micro-credentialing, Mc)? Due to limited research on Multidisciplinary, Micro-credentialing (MdMc), communication among stakeholders becomes difficult – there is no sense of self-sufficiency and course crossbreed lags; thus, diploma initiatives rarely succeed. Hence, MdMc aims to generate industry-necessitated, new knowledge hybrids where courses could generate adaptable Md links and intersections towards self-sufficiency. We propose a methodology based on Md content analysis on rapidly deployable knowledge bases suitable for multisector employability: a market survey to identify new knowledge areas. The outcome is to be knowledge mapped to identify gaps in skills required for applications to meet across disciplines. Finding the nature of these gaps intends to present possible knowledge links and intersections among courses. Diagrammatised and textual analysis of self-sufficiency-related benefits that could forge robust faulty-industry partnerships will be discussed – to demonstrate fluidity between credentials and careers. The resulting MdMc rigour model would present avenues for new content, training programmes, and a potential HE-industry manifesto. This MdMc model may offer a quick and dynamic process of epistemic, accessibility and instructional rigour checks to achieve professional currency towards self-sufficiency for IEs.

Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis and machine learning, making their journeys more meaningful. It has also improved efficiency through automated processes, chatbots and enhanced security measures. AI's ability to analyse large volumes of data enables tourism organisations to make data-driven decisions and target their marketing strategies effectively. One of the most notable contributions of AI in tourism is its ability to offer personalised recommendations. By analysing vast travel history, preferences and online behaviour, AI systems can provide tailored suggestions for destinations, accommodations, activities and dining options. This level of customisation enhances the overall travel experience, making it more relevant and satisfying for individual travellers. AI has also greatly improved operational efficiency within the tourism sector. Chatbots, powered by natural language processing, are increasingly being deployed by hotels, airlines and travel agencies to provide instant customer support and assistance. These chatbots can answer queries, offer recommendations and handle booking processes, reducing waiting times and enhancing customer satisfaction. In addition, facial recognition technology allows for quick and accurate identity verification at airports, hotels and other travel-related facilities. This improves security and provides travellers with a seamless and efficient experience. As technology advances, we expect AI to play a more prominent role in augmented reality, voice recognition and virtual assistants, further enhancing the travel experience and facilitating seamless interactions. In conclusion, AI has transformed the tourism industry by providing personalised recommendations, improving operational efficiency, enhancing security measures and enabling data-driven destination management.

The introductory chapter in the volume offers a rationale for bringing together, in an edited collection, contributions from authors who emphasize the continued relevance of mentoring in academia. The focus of mentoring in the volume is on enabling academics to orient their practice towards the Sustainable Development Goals (SDGs); the introduction highlights the selection of SDGs discussed, as well as critically reflective responses to these in existing literature. The structure of the volume and of individual chapters is mapped for the benefit of readers. The volume is a hybrid text, combining academic scholarly reflection with narrative vignettes and with dialogue excerpts, to illustrate more fully SDG-oriented mentoring practices and experiences. The principles underpinning the writing methodology and the sources which have helped shape these principles are discussed here. As well as unpacking the writing methodology, the introductory chapter spotlights three core texts on mentoring which informed the volume at proposal stage and throughout the writing process. A personal note on mentoring from the volume editor is followed by a ‘pause and reflect’ section, which offers questions for the reader to consider when engaging with some or all the chapters in the volume.

This chapter offers a reflection in the form of a three-way dialogue, exploring how peer mentoring supports our aim to contribute to the delivery of two interconnected Sustainable Development Goals (SDGs): 3 (Health and well-being) and 11 (Sustainable cities and communities). These goals have been a constant in our practices (as heritage, public health and education professionals), and working together has been pivotal to achieving goals. The reflection is based on the collaborative experience of the three authors since 2016, recognizing how mentoring has shaped the different projects we have imagined and delivered together. Our reflection and experience engage with the notion of ‘authentic mentoring’, whereby we support each other and contribute to each other's gaps in knowledge and practice. This has occurred in a very informal and organic way, outside of more traditional definitions of mentoring, where a certain hierarchy of knowledge transmission is usually expected. This chapter narrates our collaborations across various projects and focuses on the most recent one, Outreach to Ownership (O2O) (2023), delivered for Historic England using Participatory Action Research (PAR) and Student as Partners (SaP) as our main philosophical and methodological frameworks. The O2O project allowed us to reflect on how we worked together and with our students. The students' role has evolved from peer mentors and mentees to authentic collaborators.

This final chapter of this book highlights and critically discusses some specific issues concerning talent management in the context of higher education raised in the chapters of this book. It recapitulates the transition higher education is going through. This transition started decades ago but was boosted by the movements of Open Science and Recognition and Rewards. It leads to a reorientation on the conceptualization of academic performance and subsequently also on the meaning of talent and talent management in academia. It points to a shift from an exclusive and performance orientation on talent, to an inclusive, developmental approach to talent management or a hybrid form. Yet, Thunnissen and Boselie state that there is a talent crisis in academia, and this crisis urges the need for more innovative ways of developing and implementing talent management practices. This chapter ends with some recommendations for further talent management research and practice.

In this chapter, we consider collaborative models of engaged research in comparison to models of team science that include persons with lived experience of the topic area as team members. ‘Co-led’, ‘co-design’ and ‘co-research’ are all terms used in the literature with distinct, but not precise, definitions and approaches. These collaborative models tend to describe methods that allow those with lived experience to be treated differently than other academic members of the research team. Power imbalances between those with lived experiences and researchers persist in such models, in spite of researcher efforts. For example, persons with lived experience are often described as being compensated with gift cards which may be welcomed but can be perceived as diminishing their role and contribution. In contrast, participatory team science involves persons with lived experience as full members of the research team. In the model that we propose, power is balanced through mutual planning and consensus-based decision-making. We contend that using participatory team science advances research through egalitarian consideration of team members' perspectives of the research problem and the designs necessary to knowledge development.

This chapter describes challenges that students, faculty and administrators at the Monterrey Institute of Technology and Higher Education (Instituto Tecnológico y de Estudios Superiores de Monterrey, ITESM) experienced related to remote learning and isolation. The authors document experiences and strategies of different management teams to act flexibly in times of uncertainty and to support society in general. Ultimately, technology, experience and trust in various levels of leadership as well as horizontal and inclusive communication changed the educational status quo and strengthened the university community.

We revisit the problem of redesigning the Master in Business Administration (MBA) program, curriculum, and pedagogy, focusing on understanding and seeking to tame its “wicked problems,” as an intrinsic part and challenge of the MBA program venture, and to render it more realistic and relevant to address major problems and their consequences. We briefly review the theory of wicked problems and methods of dealing with their consequences from multiple perspectives. Most characterization of problems classifies them as simple (problems that have known formulations and solutions), complex (where formulations are known but not their resolutions), unstructured problems (where formulations are unknown, but solutions are estimated), and “wicked” (where both problem formulations and their resolutions are unknown but eventually partially tamable). Uncertainty, unpredictability, randomness, and ambiguity increase from simple to complex to unstructured to wicked problems. A redesigned MBA program should therefore address them effectively through the four semesters in two years. Most of these problems are real and affect life and economies, and hence, business schools cannot but incorporate them into their critical, ethical, and moral thinking.