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Following an experiential marketing approach, this study addresses whether customer destination-based experiences (CDBE) affect tourists’ loyalty and emotions and if positive and negative emotions mediate this relationship. Hence, this study aims to verify the role positive and negative emotions play in the link between CDBE and tourists’ loyalty in a safe and joyful tourism destination in Europe.

A conceptual model was tested using data collected from tourists visiting the Algarve region, a mature seaside tourism destination in southern Portugal. The relationships implicit in the model were tested through the partial least squares structural equation modelling method.

The findings highlight that positive and negative tourist’s emotional responses mediate the relationship between CDBE and loyalty. Moreover, tourists’ experience and loyalty are influenced by their positive and negative emotions. Practical and theoretical implications are discussed.

Leveraged on extant research gaps, this study contributes to deepening the existing tourism literature by discussing whether CDBE affect tourists’ loyalty and emotions and whether these positive and negative emotions mediate that relationship in the context of a highly appraised touristic destination in Europe.

This introductory chapter underscores the urgent need to reimagine school leadership in the face of unprecedented challenges and uncertainties, including the COVID-19 pandemic, ongoing struggles for racial justice, and declining trust in public institutions. The chapter argues that traditional, top-down leadership approaches no longer sufficiently meet the complex needs of students, families, and communities and advocates for paradigm shift toward more collaborative, adaptive, and equity-centered leadership practices. Leadership practices are suggested that build inclusive school communities, foster a culture of continuous learning, and prioritize the holistic well-being of every student are highlighted as crucial. Readers are challenged to rethink the very purpose and goals of education, moving beyond narrow measures of academic achievement to encompass the development of the whole child. Three key themes are introduced: (1) school characteristics and structures for facing future challenges, (2) leadership practices to initiate and support new organizational perspectives, and (3) innovative school organizations addressing crises and implications. The chapter asserts that transforming school leadership requires a fundamental rethinking of the structures, policies, and incentives that shape the work of educational leaders. Therefore, school leaders must be equipped with the knowledge, skills, and dispositions to lead for social justice, build culturally responsive school communities, and create transformative spaces where all students can thrive. This bold vision requires leaders to approach their work with humility, curiosity, and courage as they navigate the complexities of educational leadership in the 21st century.

The purpose of this paper is to compare how the various sectors among the largest companies in Ghana have incorporated sustainability into their mission, vision and value statements.

The mission, vision and value statements of the 100 largest corporations in Ghana, known as Ghana Club 100 (GC100), were extracted from the firms’ official websites. These firms were grouped into nine sectors, and the sustainability components in the mission, vision and value statements were subjected to cross tabulation and thematic contents analysis to establish the sectoral variations.

In formulating their mission, vision and value statements, GC100 firms were more than six times likely to include economic sustainability themes than environmental sustainability themes. Even though three out of every five GC100 firms are financial institutions, the manufacturing and the extractive sectors and firms ranked 1st−20th are three times likely to incorporate all the sustainability dimensions (i.e. economic, social and environmental) into their mission, vision and value statements. Firms in the financial sector and those ranked 80th−100th were more likely not to publish either a mission, vision or value statements online.

This study reveals the magnitude of the strategic pronouncements such as mission, vision and value statements of large firms in emerging economies and how they are aligned with sustainability. This could serve as a basis for formulating guidelines to reinforce efforts that contribute to corporate sustainability.

Research on how large firms align sustainability into their mission, vision and value statements is not a new agenda, but fragmented in the context of the emerging economies. The novelty is that this study addresses this gap and contributes to this topic from a sectoral comparative perspective of largest organization in Ghana, an emerging economy.

Productivity is often cited as a key barrier to the adoption of metal laser-based powder bed fusion (ML-PBF) technology for mass production. Newer generations of this technology work to overcome this by introducing more lasers or dramatically different processing techniques. Current generation ML-PBF machines are typically not capable of taking on additional hardware to maximise productivity due to inherent design limitations. Thus, any increases to be found in this generation of machines need to be implemented through design or adjusting how the machine currently processes the material. The purpose of this paper is to identify the most beneficial existing methodologies for the optimisation of productivity in existing ML-PBF equipment so that current users have a framework upon which they can improve their processes.

The review method used here is the preferred reporting items for systematic review and meta-analysis (PRISMA). This is complemented by using an artificial intelligence-assisted literature review tool known as Elicit. Scopus, WEEE, Web of Science and Semantic Scholar databases were searched for articles using specific keywords and Boolean operators.

The PRIMSA and Elicit processes resulted in 51 papers that met the criteria. Of these, 24 indicated that by using a design of experiment approach, processing parameters could be created that would increase productivity. The other themes identified include scan strategy (11), surface alteration (11), changing of layer heights (17), artificial neural networks (3) and altering of the material (5). Due to the nature of the studies, quantifying the effect of these themes on productivity was not always possible. However, studies citing altering layer heights and processing parameters indicated the greatest quantifiable increase in productivity with values between 10% and 252% cited. The literature, though not always explicit, depicts several avenues for the improvement of productivity for current-generation ML-PBF machines.

This systematic literature review provides trends and themes that aim to influence and support future research directions for maximising the productivity of the ML-PBF machines.