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Faced with the growing need to find new viable water supply models for urban areas, this article studies and maps the strategies and identifies the key criteria of sustainable development present in pioneering water supply systems in the medieval period. The main aim is to determine which of its innovative principles could be applied in present-day cities.

From a methodological perspective, two types of cases were established, such as water supply models for human consumption and pre-industrial hydraulic systems, all of which are located in Italy. For the first group, the cases of Venice and Siena were analysed, while for the second, in the context of the cities along the Aemilian Way, the case of Bologna was selected.

Five key criteria resulted from the analysis of the cases: exploitation, self-sufficiency, maintenance, rationalisation and reuse. The said concepts were defined and contextualised within the framework of the Sustainable Development Goals.

The Middle Ages were a historic moment in technological reinvention, before the development of modern systems of sanitation. With very limited resources, these traditional systems focused on rational use and deep cultural and geographical knowledge. This is why its recognition is of great importance today, in a time full of instabilities, with a view to the work that needs to be done for the development of more sustainable communities.

This paper critiques the scope of neurotechnologies in significantly expanding the epistemological field of tourism and warns of their potential to undermine the cognitive capacity of tourists to act responsibly and responsively.

This study explores the intersections of neurotechnologies and tourism through an analysis that entails a two-step process: firstly, identifying key themes and debates within neurotourism literature; secondly, critically evaluating these discussions through the lenses of social tourism theory and neuroethics.

Firstly, the work questions the potential of neurotechnologies to significantly expand epistemological boundaries concerning a perennial question in tourism studies: namely, the goal pursued by tourists. Secondly, the paper introduces the framework of an ethics of neurotourism, which can aid in developing the ethical research agenda on neurotechnologies applied to tourism. This framework is used to argue that one of the key risks associated with the use of neurotechnologies in tourism is their capacity to encourage non-responsive and non-responsible tourist behaviour.

Both due to the traditional lack of interest in philosophy in tourism and the pro-business orientation of the tourism academy, critical studies on the relationship between neurotechnologies and tourism are limited. The primary contribution of this work is to underscore that the implementation of neurotechnologies in tourism not only has the potential to foster non-responsible behaviour by undermining tourists’ cognitive capacities to act responsibly, but also can diminish their responsiveness. In a neural context where tourists may already exhibit a reduced inclination towards moral engagement, this reduction in responsiveness can be particularly significant.

This study aims to identify the influence exerted by the performance of human resources (HR) through effectiveness and efficiency in the success of business projects in Mexico.

The methodological design was quantitative, explanatory, observational and transversal, where a sample of 502 was used. A structural equation model (SEM) was developed using the statistical software AMOS v25 to test the hypothesis. SPSS v25 was used for data analysis. Regarding the goodness and fit indices of the SEM, χ² = 388.83/df = 143; χ²/df = 2.71; p < 0.001; GFI = 0.92; AGFI = 0.91; CFI = 0.96; TLI = 0.95; NFI = 0.94; IFI = 0.96; RMSEA = 0.05; RMR = 0.04; SRMR = 0.03, which turned out to be acceptable.

Through the results obtained through the SEM, it is shown that there is a positive and significant relationship between the performance of HR through their effectiveness (r = 0.65, p < 0.01) and efficiency (r = 0.64, p < 0.01) with respect to the success of the business projects. Likewise, the effectiveness of HR has a positive and significant influence on the efficiency (ß₂ = 0.46; p < 0.001) and the success of business projects (ß₃ = 0.89; p < 0.001) in Mexico. In the same way, efficiency positively and significantly influences the success of enterprises (ß₄ = 0.35; p < 0.001) in Mexico.

In this research, only the performance of the HR was assessed through efficiency and effectiveness as one of the variables that intervene in the development of the business project, and that is one of the main factors of analysis to achieve the success of the enterprise. In this sense, the results are limited to the extent that the findings can be generalized to business projects that are developed in different entities such as universities, incubators and other instances that promote the development of business projects and thereby guarantee success. In this sense, it is considered to carry out more research regarding these variables and others that can study the phenomenon and generate new scientific research.

HR performance is considered as one of the main factors that allow the success of business projects. However, some practical limitations are determined by the vision, strategies, as well as the orientation that entities such as universities, and incubators, among other organizations, determine to develop the business project and thus guarantee its success. Other practical implications lie in the leadership that the entrepreneur exercises in his/her work team and collaborators to generate synergy between them considering culture and identity, as well as the commitment to the business project.

The findings are relevant and of great value because they support entrepreneurship models, giving an alternative focus in the study to achieve success, specifically in the state of Guanajuato, which represents one of the main states that have with a greater number of ventures focused on the automotive, food, leather and footwear cluster, among other SMEs that promote business projects and is one of the main states of the Mexican Republic that contributes to the economic development of the region as well as the nation. Likewise, the study is relevant because there is currently not enough research focused on the variables analyzed on the success of business projects in the Mexican context.

This study empirically identifies household demographic and socioeconomic characteristics as well as restaurant characteristics that affect the probability of households choosing an ethnic restaurant (American, Asian, European, Mexican and other) in the USA.

A multinomial logistic regression model is applied using the data derived from the information from the National Household Food Acquisition and Purchase Survey conducted between April 2012 and January 2013.

The empirical findings suggest that such factors as the unit cost on away-from-home food items (i.e. price), region of residence, primary respondent's ethnicity, race, education level, marital status and employment status as well as such restaurant characteristics as availability of loyalty program and presence of coupons significantly affect the probability of households choosing a particular ethnic restaurant in the USA.

The original dataset employed in this study does not permit the quantification of information associated with size, location, and number of years in operation for the ethnic restaurants considered. Also, the dataset does not permit the classification of the ethnic restaurants included in the “other” category.

To the best of the authors' knowledge, there has been no empirical micro-level analysis associated with determining factors impacting households' choice of ethnic restaurants using a polytomous logistic regression model allowing for a wide range of ethnic restaurants and covering the entire USA, based on an extensive set of household demographic and socioeconomic factors and restaurants characteristics. As such, the current study plugs this research gap, with the empirical findings furnished by this study being of importance to ethnic restaurant operators (owners) in the operators' effort to develop effective marketing strategies.

The main objective is to develop a new design methodology for pressure hulls, prioritizing steel weight reduction without compromising structural safety. Genetic algorithms (GA) will be employed to optimize the structural weight of the hull of a pressure vessel, considering the Det Norske Veritas (DNV) standard formulation. This includes optimizing both the scantling of the pressure hull and the dimensions of the frames while complying with constraints based on the DNV regulation: nominal, over-immersion and collapse pressures. The proposed solution will be analyzed using finite element analysis (FEA) to verify that the obtained scantlings meet the design requirements.

An optimization of the design parameters of the structure of a pressure hull based on GA is proposed. The starting point is individuals randomly generated by combining the different values that each parameter will take. The surviving designs will be required to meet DNV standards and will be ranked according to the structural weight of each design. Prevailing will be those genes that make designs that comply with the standards and are less heavy. Finally, the feasibility of the design proposed by the GA will be tested by FEM.

The structural integrity of the design resulting from the application of GA (which complies with DNV regulations) has been evaluated by means of FEM considering different constructive defects. In summary, the proposed methodology combined with GA provides a preliminary design of the pressurized hull in a fast way, ensuring compliance with the structural requirements according to the current regulations. Furthermore, this design is optimized in terms of its own weight. The reduction in structural weight provides a reserve of buoyancy that can be used to increase other weight categories, thus extending the operating time of the pressure vessel.

This novel approach allows to quickly obtain a preliminary design of a pressure hull structure optimized for minimum weight and ensuring compliance with classification societies. The proposed methodology provides the user with a preliminary design with lower material cost and allows the increase of other weight items.

The main objective of the study is to address the lack of sustainability assessments of smart connected health systems in the academic literature by presenting an assessment model to determine the alignment of these systems with the 17 Sustainable Development Goals (SDGs) proposed in the 2030 Agenda.

An evaluation model based on decision analysis is proposed that includes three phases: alignment framework, information gathering and assessment. This model measures the alignment of the connected health system with each of the 17 SDGs, identifying the goals and criteria associated with each SDG that the system achieves to satisfy.

The analysis reveals that the system has achieved more than 24% of the targets among the 17 SDGs. In addition, it identifies four sustainability challenges that the system potentially addresses in relation to the SDGs, providing valuable guidance for researchers and practitioners interested in sustainable health technology development.

The study's results have significant implications for policymakers and stakeholders in the health and technology sectors.

The originality of this study lies in its comprehensive approach to assessing the sustainability of connected health systems in the context of the SDGs, filling an important gap in the existing literature.

This study explores the differences and similarities of work value profiles in samples of business students from four countries with markedly different cultures and labor markets.

We used multiple-group latent profile analysis (LPA) to explore the differences and similarities in work value profiles across cultures (n = 317 from Switzerland, n = 313 from Spain, n = 326 from the United States and n = 327 from China).

The latent profiles mostly show similarities across countries: the largest profiles are a want it all and a humble profile with overall high and intermediate levels in all work values. An overall low work value levels profile and one stressing high security and pay emerged in all countries except Switzerland. In the Swiss sample, two unique profiles emerged: the no status and freelancers profiles.

This study has implications for employee attraction, relations and career counseling with culturally diverse populations.

Studies on work values across cultures most often make direct comparisons between samples, which can lead to excessive emphasis on sometimes small differences. By first studying within-culture differences before comparing the results across cultures, we find that there may be more similarities than differences in work values across cultures and that cross-cultural differences may have often been overstated.

Absorptive capacity, technological collaboration and servitization are analyzed to establish ways to overcome the balance between products and services in manufacturing companies. A fresh perspective is introduced by presenting a framework for innovation strategy, moving beyond product-based R&D.

The hypotheses are tested using data on Spanish firms in the high-tech chemical and pharmaceutical industries through ordinary least squares regression analysis. The sample consists of 112 manufacturing firms included in the Spanish Survey of Business Strategies.

The results show that absorptive capacity facilitates servitization and that technological collaboration moderates the relationship between absorptive capacity and servitization. The synergies between absorptive capacity and technological collaboration for servitization are recognized from the perspective of open innovation as a way of resolving the trade-off between products and services.

Future research should introduce more sources of collaboration by broadening the value chain perspective. Other approaches to innovation may also be considered, including relationships to process innovation.

The results can provide meaningful guidance for companies to determine the key opportunities of servitization driven by absorptive capacity, and the best ways to leverage open innovation and collaboration strategies to exploit such approaches.

This research enriches theories on servitization, open innovation and innovative behavior. Open innovation strategy should be linked to greater servitization activity and should support an open service strategy. This approach is crucial for building innovation capabilities through technological collaboration.

This chapter analyzes the link between the digital divide, infrastructure regulation, and disaster planning and relief through a case study of the flood in San Jose, California triggered by the Anderson dam’s overtopping in February 2017 and an examination of communication failures during the 2018 wildfire in Paradise, California. This chapter theorizes that regulatory decisions construct social and disaster vulnerability. Rooted in the Whole Community approach to disaster planning and relief espoused by the United Nations and the Federal Emergency Management Agency, this chapter calls for leadership to end the digital divide. It highlights the imperative of understanding community information needs and argues for linking strategies to close the digital divide with infrastructure and emergency planning. As the Internet’s integration into society increases, the digital divide diminishes access to societal resources including disaster aid, and exacerbates wildfire, flood, pandemic, and other risks. To mitigate climate change, climate-induced disaster, protect access to social services and the economy, and safeguard democracy, it argues for digital inclusion strategies as a centerpiece of community-centered infrastructure regulation and disaster relief.

The aim of this research is to analyze the territorialization strategy developed by the Spanish brewing company Cruzcampo through its campaign #ConMuchoAcento (#With a strong accent) launched in January 2021.

The work is framed within the case study methodology. Semiotics will be the discipline used to establish the set of cultural units or signs that the company puts into play in its campaign #ConMuchoAcento.

Cruzcampo beer makes use of place branding by highlighting the Andalusian accent as a way of creating a unique positioning strategy. By doing so, the brewing company faces the issue of being associated with the negative Andalusian stereotype, sometimes regarded as if it were uneducated and low class. The use of dialectic must be seen as a step further in place branding strategy since it brings locality to the commercial message.

The social effects of the cultural units brought into play by the #ConMuchoAcento campaign remain to be analyzed, that is, the political dimension of this exercise of signifying agency of Andalusian culture. In other words, it remains to be seen how the accent represents that romantic Andalusian ideal of “authenticity” as that form of subjectivity at the margins of the cultural and rational organization of modern global capitalism.

This study is one of the first to be conducted on the multi-award-winning #ConMuchoAcento campaign. Furthermore, it will analyze the place branding strategy carried out by the brand from a semiotic perspective.