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This paper aims to focus on the research progress of intelligent self-healing anti-corrosion coatings in the aviation field in the past few years. The paper provides certain literature review supports and development direction suggestions for future research on intelligent self-healing coatings in aviation.

This mini-review uses a systematic literature review process to provide a comprehensive and up-to-date review of intelligent self-healing anti-corrosion coatings that have been researched and applied in the field of aviation in recent years. In total, 64 articles published in journals in this field in the last few years were analysed in this paper.

The authors conclude that the incorporation of multiple external stimulus-response mechanisms makes the coatings smarter in addition to their original self-healing corrosion protection function. In the future, further research is still needed in the research and development of new coating materials, the synergistic release of multiple self-healing mechanisms, coating preparation technology and corrosion monitoring technology.

To the best of the authors’ knowledge, this is one of the few systematic literature reviews on intelligent self-healing anti-corrosion coatings in aviation. The authors provide a comprehensive overview of the topical issues of such coatings and present their views and opinions by discussing the opportunities and challenges that self-healing coatings will face in future development.

Medellín, Colombia, experienced a remarkable social transformation in just two decades, leaving behind its troubled past of violence and insecurity. This study aims to identify the key actors and initiatives contributing to this transformation, considering cultural and social values shaping residents’ and visitors’ perceptions and determining the potential for the city’s brand. The research uses identity-based place branding theory and Delphi rounds to compare expert and promoter perspectives through surveys and tourist insights. The findings reveal recognising having a transformation in mind having offers guidelines for residents to propose tourism initiatives, aiding strategic city promotion and brand-building in collaboration with various organisations.

This chapter highlights the importance of combining multiple data sources to gain a complete understanding of the marketing environment. Marketing campaigns can be successful only by data-driven decision-making. We need to include multiple data sources so that it may furnish a complete and distinctive view of market dynamics. This chapter begins by probing into the changing landscape of marketing. It reveals that traditional tactics are being replaced by urban, technology-based strategies. It becomes progressively important for organizations to integrate different data sources along with harnessing the power of big data, artificial intelligence (AI), and advanced analytics. It involves the smooth and flawless blending of different datasets to obtain important connections and patterns. Simple data collection and storage will not help. This chapter emphasizes the need for an all-embracing strategy. Since it has a transformative impact on marketing results, it solves the challenges caused by data storage systems. It also provides real-world examples of integrated solutions. It deliberates regulatory issues that must be considered when integrating different data sources. Any marketing data ecosystem needs integration of the internal and external data sources in search of a better understanding of the market. Such can help businesses find new opportunities and insights that, up until then, remain unknown. It may integrate different data types to get the most from marketing strategies in place. If there is integration of data, then decisions can be made with knowledge and purpose.

Food tourism, integral to the travel experience, reflects deep cultural and traditional identities, fostering local development and heritage preservation. This chapter explores the evolving characteristics of the post-COVID-19 food tourist, drawing on interviews with food tourism travellers to understand the pandemic’s impact on travellers’ preferences and the role of food tourism in promoting social sustainability and justice in destination communities. Through food tourists’ narratives, this study reveals a growing emphasis on authentic, regional culinary experiences and their significance in advancing social sustainability. The findings enable the identification of the post-pandemic food tourist, who is driven by a dedication to health, sustainability, and cultural education.

This paper aims to identify future scenarios and convergent technologies regarding the plantain chain in the region of Quindío, Colombia. It proposes the definition of key variables, convergent technologies, future objectives, future scenarios and hypotheses based on stakeholders’ and experts’ opinions collected through questionnaires, surveys and workshops.

The present analysis seeks to identify and anticipate the future routes for the improvement of scientific, technological, innovative and skills management of the plantain agroindustrial chain in the region of Quindío, Colombia using the foresight-by-scenarios and, Delphi methodologies and finally validating the results with artificial intelligence code and natural language processing.

After the analysis of 100 initial variables, the results suggested the identification of five key variables defined by the stakeholders and matrix-based multiplication applied to a classification (MICMAC) analysis such as “weather,” “financing and economy,” “grouping and associativity,” “crop” and “territorial planning and raw material.” Moreover, the definition of four future objectives along with the matrix of alliances and conflicts, tactics, objectives and recommendations (MACTOR) analysis suggested scenarios according to the probability. The most possible, probable and desirable scenario, was the cooccurrence of the five proposed hypotheses. Furthermore, the Delphi analysis allowed us to define nine subgroups from 116 subtopics including: “plantain varieties,” “plantain agroindustry,” “waste use” and “crop,” among others.

Due to the specificity of the analyzed agro-chain, the study only encompasses the plantain and banana sectors. However, the implications are related to the generation of projects in the selected technologies.

This paper includes implications for the development of prospective studies combining two or more different methodologies such as foresight-by-scenarios and Delphi method at the same time and further comparing the results with artificial intelligence analysis.

The generation of public policies in the sector and input for governmental analysis and tools for decision-making with a well-grounded, systematic and rational point of view.

This work describes for the first time, the implementation of the Delphi method regarding an important agroindustry sector such as plantain and banana prospective study. Furthermore, it explains the alignment of two methodologies; foresight-by-scenarios and the Delphi method related to the sectorial approaches, and convergent technologies and innovations, respectively. Moreover, a complementary bibliometric analysis with global terms related to the plantain or banana agroindustry was also included. In a novel way, we also applied an artificial intelligence code using Python software to contrast the results previously obtained in the foresight-by-scenarios method.

The purpose of this paper is to investigate the existence, uniqueness and stability of solutions to a class of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order (R-LFDEAPBCVO). The study utilizes standard fixed point theorems (FiPoTh) to establish the existence and uniqueness of solutions. Additionally, the Ulam-Hyers-Rassias (Ul-HyRa) stability of the considered problem is examined. The obtained results are supported by an illustrative example. This research contributes to the understanding of fractional differential equations with variable order and anti-periodic boundary conditions, providing valuable insights for further studies in this field.

This paper (1) defines the Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order (R-LFDEAPBCVO); (2) discusses the existence and uniqueness of solutions to these equations using standard FiPoTh; (3) investigates the stability of the considered problem using the Ul-HyRa stability concept (Ul-HyRa); (4) provides a detailed explanation of the design and methodology used to obtain the results and (5) supports the obtained results with a relevant example.

The authors confirm that no funds, grants or any other form of financial support were received during the preparation of this manuscript.

The originality/value of our paper lies in its contribution to the field of fractional differential equations. Specifically, we address the existence, uniqueness and stability of solutions to a class of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order. By utilizing standard FiPoTh and investigating Ul-HyRa stability, we provide novel insights into this problem. The results obtained are supported by an example, further enhancing the credibility and applicability of your findings. Overall, our paper adds to the existing knowledge and understanding of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions, making it valuable to the scientific community.

The digital marketing sphere is witnessing a transformative era with the integration of artificial intelligence (AI), reshaping the methodologies businesses employ to comprehend and engage their consumer base. Throughout this chapter, the authors have discussed the investigation of diverse roles of AI in data-driven marketing. The authors have also examined its application in analysing and understanding consumer behaviour, delved into the complexities of AI-enabled targeted marketing strategies, and discussed the ethical considerations inherent in the utilization of AI within marketing contexts. This chapter seeks to provide a thorough analysis of both the current influence and the future potential of AI in revolutionizing digital marketing. This embarks on an exploration of AI’s pivotal role in augmenting data-driven marketing practices, where the detailed examination of consumer data is leveraged to generate pertinent marketing insights and influence consumer engagement strategies. AI’s incorporation into marketing transcends conventional analytical methods, enabling a deeper and more complex understanding of consumer behaviours, preferences, and decision-making mechanisms. Furthermore, it considers the forthcoming trends and challenges that AI introduces in this dynamic domain, envisioning a future where marketing strategies are increasingly guided by intelligent data interpretation.

Work engagement has been shown to be one of the most significant positive employee outcomes in organisations and a critical factor in overall business success. The effect of leadership behaviour on employee work engagement has also been established as one of the most critical interactions in the literature. Accordingly, this study aims to investigate the impact of a leader’s knowledge-hiding behaviour on employee work engagement. Moreover, this study examines how organisational citizenship behaviour moderates the relationship.

This study adopted a quantitative method with 289 front-line employees from Jordan’s banking sector, each of whom was asked to complete an online self-report questionnaire.

The findings of this study indicate that leaders’ knowledge-hiding negatively affects the three dimensions of employee work engagement (namely, physical, emotional and cognitive). Additionally, the findings provide evidence for the negative moderating effect of organisational citizenship behaviour on the direct relationship between leaders’ knowledge-hiding behaviour and three employee work engagement dimensions.

This study adds to the body of literature by proposing and empirically demonstrating the impact of leaders’ knowledge-hiding behaviours on all three dimensions of employee work engagement. Furthermore, this study adds to the knowledge-hiding phenomenon and work engagement literature by proposing the mitigation role of organisational citizenship behaviour on the negative relation between leaders’ knowledge-hiding behaviour and employees’ employee work engagement.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

This article aims to explore the growing adoption of social impact measurement (SIM) among French Social and Solidarity Economy Organizations (SSEOs) in the context of a global drive for accountability. It examines the evolution of SIM, its implications, risks and methodological challenges. Key themes include the transition from “social utility” to “social impact,” the emergence of an impact-driven market, and concerns about the limitations of standardized measurement models. The paper calls for a diverse approach to evaluation, aiming to preserve the unique identities of SSEOs and promote innovation.

This comprehensive literature review, covering both academic and grey literature, explores the evolution of SIM in French SSEOs. It focuses on regulatory frameworks, stakeholder engagement and methodological principles to provide a thorough understanding of the implications and potential risks.

The findings highlight a major shift in public policy instruments, driven by the growing adoption of SIM within French SSEOs. While SIM methods offer opportunities, they also pose risks, such as the commodification of social impact, the rise of isomorphic practices and an overemphasis on performativity.

The research implications emphasize the need to recognize how SIM affects the organizational identity of SSEOs and to foster discussions on alternative evaluation methods. A limitation of the study is its focus on French SSEOs, which may limit the generalizability of the findings to other contexts within the broader social economy sector.

The article provides valuable insights for policymakers, SSEOs and stakeholders on the role of SIM in the French social economy. It advocates for critical evaluation and policy alignment to improve the sector’s overall effectiveness.

The social implications involve gaining a deeper understanding of how SIM practices affect the identity and operations of French SSEOs. By emphasizing risks such as commodification and isomorphic trends, the article encourages reflection on the broader societal impacts.

The article’s originality stems from its thorough exploration of SIM’s evolution within French SSEOs. Its value lies in shedding light on the complex relationship between SIM adoption, organizational identity and societal values, thereby encouraging informed decision-making and deeper discourse within the SSEOs landscape.