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In today's advanced economy, there is a broader presence of information revolution, such as artificial intelligence (AI). AI primarily drives modern banking, leading to innovative banking channels, services and solutions disruptions. Thus, this chapter intends to determine AI's place in contemporary banking and stock market trading.

Stock market forecasting is hampered by the inherently noisy environments and significant volatility surrounding market trends. There needs to be more research on the mantle of AI in revolutionising banking and stock market trading. Attempting to bridge this gap, the present research study looks at the function of AI in banking and stock market trading.

The researchers have synthesised the literature pool. They undertook a systematic review and meta-synthesis method by identifying the major themes and a systematic literature review aided in the critical analysis, synthesis and mapping of the body of existing material.

The study's conclusions demonstrated the efficacy of AI, which has played a robust role in banking and finance by reducing risk and operational costs, enabling better customer experience, improving regulatory complaints and fraud detection and improving credit and loan decisions. AI has revolutionised stock market trading by forecasting future prices or trends in financial assets, optimising financial portfolios and analysing news or social media comments on the assets or firms.

AI's debut in banking and finance has brought sea changes in banking and stock market trading. AI in the banking industry and capital market can provide timely and apt information to its customers and customise the products as per their requirements.

This final chapter delves into the future of digital supply chain management (DSCM) amid today's dynamic business environment, shaped by technological advancements and factors like automation, artificial intelligence (AI), sustainability, and resilience. It emphasizes the crucial role of digital technologies (DTs) such as AI, the Internet of Things (IoT), Industrial IoT, and the Internet of Everything (IoET), along with blockchain, in revolutionizing supply chain operations. These technologies enable agility, flexibility, efficiency, and responsiveness, crucial for supply chains to proactively adapt to market changes. The chapter explores the trends in DSCs, focusing on real-time data analytics, end-to-end visibility, sustainability, and resilience. It highlights the growing importance of transparency in supply chains, driven by consumer demand for sustainable practices and product origins. DSCM is identified as pivotal for prioritizing sustainability, leading organizations toward green practices. Despite the opportunities in DSCM, challenges like cybersecurity, data management complexities, geopolitical uncertainties, and talent shortages are acknowledged. To overcome these, the chapter stresses strategic foresight in DSCM and the importance of robust process management, risk management, and talent development. The future-readiness of supply chain professionals is discussed, highlighting the need for change management, development of social and deep work skills, collaboration, and ethical practices. The chapter concludes by underscoring the transformative potential of DTs in the digital era, urging organizations to embrace innovation, transparency, and sustainability in their supply chains, recognizing that the future of DSC is an imminent reality.

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.

Introduction: Sustainable human resource management (SHRM) as a practice is nowadays seen as an essential factor contributing to an individual’s and organisation’s growth. At the organisational level, the people concerned face many pressures to inculcate SHRM practices from various authorities and stakeholders.

Purpose: This chapter explains SHRM as a concept through an extensive literature review along with the evolutionary stages and multi-lateral perspectives of SHRM. The factors affecting this concept are Economic, Social, and Environmental; its driving forces like Employees, Government and Market Pressure; Employee Outcomes, namely Employee retention, satisfaction, motivation and Employee Presence; Organisational outcomes – Business level, Workers’ satisfaction, improved environmental outcomes better correlations, etc.; and value created by SHRM in terms of both employee and organisation are thereby explained.

Methodology: A specific procedure has been employed since the chapter has been based on literature review. The process of systematic literature review has been followed, which lays down the process followed by the authors – right from the Scope Formulation to the Illustration of Conceptual Framework.

Findings: A conceptual model is represented as a basis of the literature review, which the organisation can use and apply to develop SHRM practices, and finally, the precise effects of the research findings are suggested alongside ideas for future research.

In this chapter, we discuss talent development in the context of higher education. After discussing the advantages and disadvantages of inclusive and exclusive approaches to talent development, we present empirical data that detail how the participants of a focus group study perceive talent development in higher education. Our data show the importance of a contextualized reading of talent development as the competitive context in academia hinders an inclusive focus on talent development. This context results in a performance-centred, instead of a development-centred approach to talent management, where outperforming others in narrowly defined areas (e.g. publication record) is the main goal. We show that in such a context the development of competitive talent is rewarded, and the development of communal talent is not. The focus on performance instead of (inclusive) development becomes more pronounced when employees move through their career and is believed to have several negative consequences. Mostly women perceived that such a non-inclusive approach to talent development hinders the development and deployment of their talents and obstructs their career progression.

Little research is devoted to how salary allocation processes interfere with gender inequality in talent development in universities. Administrative data from a university indicated a substantial salary gap between men and women academics, which partially could be explained by the unequal distribution of men and women in the academic job levels after acquiring a PhD, from lecturer to full professor, with men being overrepresented in the higher job levels, as well as in the more senior positions within each job level. We demonstrated how a lack of transparency, consistency and accountability can disqualify apparent fair, merit-based salary decisions and result in biased gender differences in job and salary levels. This chapter reflects on how salary decisions matter for the recognition of talent and should be an integral part of talent management.

This concluding chapter provides key takeaways from the insights and recommendations that emerged from the EUPRERA2022 volume with a focus on crises and issues. Reflections are made with an emphasis on the understanding of sticky crisis, the embodiment of challenging, complex and recurring critical risks that threaten organisational well-being and stakeholder safety across sectors and cultures. A call for more interdisciplinary and international collaborations between academia and industry is made. Future directions of crisis, risk and disaster communication research that matter to practice are discussed.

This chapter highlights a case study at the University of Wyoming (UW) to explore the role of integrating ecotourism and eco-entrepreneurship into higher education at the bachelor’s level. The university has developed a modern, comprehensive curriculum, and practical learning opportunities with local communities, conservation organizations, and industry stakeholders through a state-funded initiative. The program equips students with essential knowledge and eco-entrepreneurial skills for the sustainable development of ecotourism, outdoor recreation, and tourism industries. The chapter presents a pedagogical model as a replicable framework for other institutions aiming to incorporate sustainable, eco-centric curricula into their programs. The findings can guide policymakers, educators, and stakeholders in designing programs that synergize environmental sustainability and eco-entrepreneurial innovation to promote global sustainable development and successful higher education experiences.