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The objective of this research conducted in the city of Cuenca is to elaborate on the management platform model of the smart tourist destination (STD). The chapter provides the components to develop such a system as a pilot plan. To maximize the impact of the proposed approach and enhance the decision-making capacities of local actors, the metrics that the Inter-American Development Bank (IDB) developed for the so-called intermediate cities in the study “Cuenca Sustainable City” are used. The platform (www.smarturcuenca.com) considers the transcendence of the current reality of the tourism sector, which is open to multidisciplinary work with other sectors to promote the rational use of cultural and natural resources through the Internet of Things (IoT).

This paper aims to provide a starting point to discuss how social enterprises can drive systemic change in terms of social impact through operations and supply chain management.

This paper reviews existing literature and the four papers in this special issue and develops a conceptual framework of how social enterprises and their supply chains create social impact and further enable systematic change.

Our paper finds that social impact and systemic change can be shaped by social enterprises at three different levels of analysis (organization, supply chain and context) and through three enablers (cognitive shift, stakeholder collaboration and scalability). Such dimensions are used to position current literature and to highlight new research directions.

This paper proposes a novel understanding of operations and supply chain management in social enterprises intended as catalysts for systemic change. Based on this premise we distinguish different practices and stakeholders to be considered when studying social impact at different levels. The conceptual framework introduced in the paper provides a new pathway for future research and debate by scholars engaged at the intersection of social impact, sustainable operations and supply chain management.

The purpose of this paper is to analyze how sustainability was operationalized in the Spanish universities through plans and actions that contribute actively to the achievement of the sustainable development goals (SDGs).

A systematic search and content analysis served to examine information available on websites belonging to the 76 universities listed in the Conference of Rectors of the Spanish Universities (CRUE).

The participation of Spanish universities on initiatives focused on sustainability is very limited, highlighting the negligible role of private institutions in which topics like sustainability and the 2030 Agenda/SDGs were scarcely addressed.

The study outlines the actual extent of the inclusion of sustainability in particular co-curricular actions toward the SDGs in the CRUE. The findings enable to define a long-term sustainability road map for the Spanish university system.

This study aims to address the challenge of sustainability in Catholic schools quantitatively, even more so knowing that there are few systematized and quantitatively elaborated approaches that help to determine their sustainability dimensions. Therefore, this study aims to estimate the structural relationships of organizational sustainability in primary and secondary religious schools in Latin America based on the substantive functions of the school, such as care, upbringing and education from an organizational approach.

Deductive reasoning was used. In the preliminary phase, data were extracted from 420 educational leaders of primary and secondary schools in Latin America from the Lasallian Network, leading a school population of 200,500 students and impacting 166 schools; these previous results were again contrasted with the forthcoming literature with research from the Ramon Llull University, Barcelona, Spain, to achieve the sustainability framework, which has an endogenous variable called the school organizational sustainability framework.

The results reveal four dimensions of the first-order structural model: management, association, communication, well-being and curriculum, And eight second-order dimensions: governance, communication, resources, secular association, secular partnership, health, social commitment, and campus operation. The investigation results show that secular association and well-being are two dimensions that are constituted as the main elements of a sustainability framework for this type of organization.

The Catholic school has specific dimensions that need to be cared for with special attention, such as association, which comes from the laity and comes from the experience of the religious. In addition to this vital dimension, well-being, constituted as care for the people of the community, as care for all, is connatural to the religious school. Still, it is constituted by an edge that completes it, and that is the concern for the well-being of those outside regarding social justice. A limitation in the pretension of totality is that the study is conducted in a small portion of Catholic schools in Latin America.

A practical impact in the schools investigated is to present this sustainability framework as a reference to incorporate these dimensions as a strategy to bet on sustainability. Although the realities and contexts of the Latin American school are very different, some factors can impact low-income schools and schools with more significant financial resources if they are strengthened and worked on with dedication. In addition, this framework can lead to roads and the construction of indicators within the school, which can measure the sustainable commitment of the whole school. Finally, a clear finding of the framework is the need for good governance processes related to leadership and leaders' commitment to school-wide sustainability.

The present study impacts the depth that the proposal of the global educational pact can reach in the reality of Catholic schools in Latin America. The seriousness with which its leaders take the issue of sustainability from this perspective can contribute to the sustainability of life itself.

The originality of this research is that it constitutes the first Sustainability framework in Latin America in Catholic schools from an organizational approach.

The principal objective of this study is to identify and recommend auspicious research directions within the field of family business research, with a specific focus on the wealth creator. In conjunction with these research trajectories, the paper also aims to elucidate the potential implications of cultivating these lines of inquiry on the existing family business literature.

This perspective paper adopts a comprehensive approach to examine the multifaceted role of the wealth creator in the context of family businesses. It reviews the last decades of research that resulted in the identification of this role within family business and proposes future research avenues to further address their characterization and importance.

Investigating the wealth creator's attributes can provide insights into their role, the importance of timely identification and its preparatory elements. Furthermore, this exploration can shed light on the dynamics of inter-family relationships within family businesses and enrich the literature on power transition and continuity in family enterprises. Additionally, the maturation of the wealth creator concept may significantly impact the management of wealth portfolios, facilitating smoother wealth transfer, strategic portfolio management and the preservation of multi-generational wealth.

This research offers a diverse understanding of the role of the wealth creator in family businesses. The findings also enhance the comprehension of family business dynamics, enriching the literature on succession. Lastly, the offered research avenues contribute to addressing the challenges of sustaining family wealth and ensuring the continuity of family businesses across generations.

The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.

A survey was administered to individuals residing in Spain between March and April 2021. There were 301 questionnaires analyzed. This research applies a new predictive model based on technology acceptance model (TAM) 2, the unified theory of acceptance and use of technology (UTAUT) model, the theory of perceived risk and the commitment trust theory. A mixed partial least squares structural equation modeling (PLS-SEM)/fuzzy-set qualitative comparative analysis (fsQCA) methodology was employed for the modeling and data analysis.

The results showed that all the variables proposed have a direct and positive influence on the intention to use a Coinbase Wallet. The findings present clear directions for traders, investors and academics focused on improving their understanding of the characteristics of these markets.

First, this study addresses important concerns relating to the adoption of crypto-wallets during the global pandemic. Second, this research contributes to the existing literature by adding electronic word of mouth (e-WOM), trust, web quality and perceived risk as new drivers of the intention to use the Coinbase Wallet, providing unique and innovative insights. Finally, the study offers a solid methodological contribution by integrating linear (PLS) and nonlinear (fsQCA) techniques, showing that both methodologies provide a better understanding of the problem and a more detailed awareness of the patterns of antecedent factors.

This research aims to contribute to History of Education Studies as well as to New Cold War Studies, by examining a Reactor Technology Specialist Engineer program, launched in Hungary three times in the 1980s for Cuban nuclear engineers, graduates of the University of Havana.

The institutional setting, the content of the program, the teaching staff, the students, and the outcomes are studied. The factors that motivated the birth of this special program are examined, including the following areas; in what ways it was different from the courses in which foreign students participated in Hungary; what its strengths and weaknesses were; how we can learn from this past experience and what relevance it has for the present.

The analysis – carried out within the context of Cuban–Hungarian relations in the Cold War – demonstrates that these two satellite countries used the fields of science and education to widen their international possibilities and at the same time to reinforce their national interests by cooperating with each other.

The investigation is based on archival sources, university yearbooks and journals as well as contemporary Hungarian press. Written sources were complemented by interviews with Cuban students and Hungarian teaching staff, thus providing a personal perspective, balancing official views.

Based on the assumptions of the social ecological theory (SET), this study aims to identify the factors that influence water consumption by the schoolchildren segment in urban communities in Mexico, to further develop a community-based social marketing intervention.

This study was formative research, quantitative and qualitative in nature, consisting of a survey, focus groups and in-depth interviews. It was conducted in public and private elementary schools in central Mexico (five states), during 2023.

It was identified that parents are aware of the benefits of drinking water for their children’s health. However, various factors in the sociocultural environment, perceptions, customs and habits were noted as barriers to water consumption. Consequently, children’s behaviors are influenced by their family context as the strongest environment. Likewise, the school environment and the social environment are identified as other influential factors. Each system acts as a motivator or barrier in the child’s behavior, creating and supporting consumption behaviors learned from an early age.

Interventions on water consumption should target the most influential SET systems; the microsystem and the mesosystem, achieving the participation and co-responsibility of stakeholders in changing the environment and thus behavior.

Wall-modeled large eddy simulation (LES) is a practical tool for solving wall-bounded flows with less computational cost by avoiding the explicit resolution of the near-wall region. However, its use is limited in flows that have high non-equilibrium effects like separation or transition. This study aims to present a novel methodology of using high-fidelity data and machine learning (ML) techniques to capture these non-equilibrium effects.

A precursor to this methodology has already been tested in Radhakrishnan et al. (2021) for equilibrium flows using LES of channel flow data. In the current methodology, the high-fidelity data chosen for training includes direct numerical simulation of a double diffuser that has strong non-equilibrium flow regions, and LES of a channel flow. The ultimate purpose of the model is to distinguish between equilibrium and non-equilibrium regions, and to provide the appropriate wall shear stress. The ML system used for this study is gradient-boosted regression trees.

The authors show that the model can be trained to make accurate predictions for both equilibrium and non-equilibrium boundary layers. In example, the authors find that the model is very effective for corner flows and flows that involve relaminarization, while performing rather ineffectively at recirculation regions.

Data from relaminarization regions help the model to better understand such phenomenon and to provide an appropriate boundary condition based on that. This motivates the authors to continue the research in this direction by adding more non-equilibrium phenomena to the training data to capture recirculation as well.