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Utility tokens are digital currencies that serve as the only accepted means of payment for services and products provided through a blockchain-based platform. They finance the development of their product or service, reward and incentivize early adopters and network promoters, align economic incentives between supply, demand, and the marketplace, and enhance network effects among all participants. Their tokenomic design consists of the rules and regulations governing a token’s issuance, distribution, allocation, and potential destruction. The chapter describes utility tokens, compares them with other types of cryptoassets, and discusses their value creation process and role in network economics. It also reviews common tokenomic designs, discusses different regulatory approaches, and provides examples of current utility token applications in decentralized applications such as decentralized finance and virtual reality platforms (metaverses).

Bitcoin’s introduction as the first cryptoasset in 2009 ushered in a new era, representing a seismic shift in the financial markets. Since then, this evolving asset class has generated much interest, excitement, and growth. This chapter begins by providing a brief background of cryptoassets. It then discusses their main types (cryptocurrencies, security tokens, and utility tokens), users (individual investors, major financial institutions, endowments, and hedge funds), and benefits and drawbacks. Next, it sets forth the book’s purpose, distinguishing features, intended audience, and structure. The chapter provides a synopsis of each of the remaining 21 chapters. Although no single book can encompass all changes and iterations of these technologies as they emerge in the marketplace, this book brings together a broad collection of industry expertise and academic analysis to create a book helpful to researchers, academics, and practitioners.

Conserving appropriately the culture and heritage of a city through sustainable tourism is a key element for its economic development. Heritage cities generate economic, social and environmental benefits through tourism management. This study aims to intend, in the context of economic sustainability of the territory and promotion, to improve the understanding of the relationship between the sources of information of tourists and their motivations, with satisfaction and future behaviour intentions. For this, a study has been carried out in the Old Town of Cáceres (Spain), a city recognised as a world heritage property by UNESCO.

This study applies a descriptive analysis, based on frequencies. For data collection, a structured questionnaire has been used to identify the opinion of tourists during their visit to the heritage city of Cáceres.

This study demonstrates the existence of a positive relationship between the sources of information and the tourist experience with their future behavioural intentions and satisfaction of their visit. All this in the global context of the destination for sustainable economy and the UN Agenda 2030 for sustainable development. Furthermore, the results of the study suggest that the motivations of tourists are the most important factor in explaining the overall experience and loyalty of tourists to a city.

A limitation of this study is the data set used. The results must be contextualised at the time and place when the questionnaire was conducted.

The proposed model makes it possible to advance future heritage tourism strategies, in terms of planning and communication of the heritage resources of a destination. Tourism heritage institutions should increasingly invest in communication improvements based on new technologies and social media. At the same time, integrated planning with special policies for the sustainable protection of heritage can make important progress in the tourist and cultural development of the destination.

This article tests for the first time within the context of heritage cities in Spain and in the context of a sustainable economy and cultural heritage for destination, the relationship between different sources of site promotion information and future tourist behaviour intentions. It provides original evidence of the value of applying the underlying theory of the proposed model in a world heritage tourist destination.

The prison population is seldom studied and often overlooked in many countries despite their vulnerability to long-term illness. This study aims to explore the factors associated with the non-treatment for long-term illnesses among incarcerated individuals.

This study is a cross-sectional analysis. The authors conducted a secondary data analysis using information collected in the Peruvian census of incarcerated individuals. The study population consisted of incarcerated individuals diagnosed with a long-term illness. To evaluate the factors associated with non-treatment, the authors used a Poisson regression model.

The authors included 12,512 incarcerated individuals (age: 40.9 ± 13.1 years), and 39% of them did not receive treatment for their long-term illness. The authors observed that non-treatment was statistically associated with gender, age, having children, use of the Spanish language, sexual identity, judicial situation, penitentiary location, discrimination inside the penitentiary and health insurance before incarceration. However, only having children (prevalence ratio [PR]: 1.11, confidence interval [CI]95% 1.03–1.19), using the Spanish language (PR: 1.15, CI95%: 1.01–1.31), being in a penitentiary not in Lima (PR: 1.11, CI95%: 1.06–1.17) and perceiving discrimination inside the penitentiary (PR: 1.12, CI95% 1.06–1.18) increased the prevalence of non-treatment.

Identifying the factors associated with non-treatment will allow us to implement measures for prioritizing groups and developing strategies for the evaluation, close follow-up of their health and management of comorbidities.

This study explores the role of international tour operators as the agents assuming the governance and the upgrading of the tourism global value chains (TGVCs), with a special focus on their influence on the development of technological capabilities (TCs) in the hotel industry.

The data used in this article originates from a survey carried out in 2016 on Spanish small and medium-sized hotel companies. An ordinal regression analysis is employed to test the hypotheses proposed in this research.

This study finds that tour operators exert a positive effect on the technological upgrading process in the hotel industry by stimulating small and medium-sized enterprises (SMEs) to invest in TCs. The causal mechanisms through which these effects take place differ across the various stages of the relationship between hotel companies and tour operators.

The results have implications both for hotel management in terms of how hotels take advantage of technological upgrading to become more competitive, and for public administrations in terms of what measures can boost the development of hotel TCs in order to increase their added value.

To date, very few studies have analysed the tourism sector based on the influence on the development of TCs of SME hotels by combining GVC concepts and the resource-based view. It is also the first time that the causal mechanisms are shown to explain such influences.

The definition of value adopted by the current service perspective on marketing theory is value as value-in-use. Surprisingly, however, little attention has been given to the question of what constitutes value-in-use for customers in service contexts? Therefore, the aim of this study is to provide an empirical account of value-in-use from service customers' point of view.

To capture and analyze customers' experiences of value-in-use in the typical service context of retail banking, this study employed a narrative-based critical incident technique (CIT) and a graphical tool called the value chart.

The study identified seven empirical dimensions of positive and negative value-in-use: solution, attitude, convenience, expertise, speed of service, flexibility and monetary costs. Interestingly, these value-in-use dimensions overlap considerably with previously identified dimensions of service quality.

The concepts of service quality and value-in-use in service contexts seem to represent the same empirical phenomenon despite their different theoretical traditions. Measuring customer-perceived service quality might therefore be a good proxy for assessing value-in-use in service contexts.

As the findings indicate that service quality is the way in which service customers experience value-in-use, service managers are recommended to focus on continuous quality management to facilitate the creation of value-in-use.

This study is the first to explicitly raise the notion that in the minds of service customers, value defined as value-in-use and service quality may represent the same empirical phenomenon.

The purpose of this paper is to address a multiobjective FAP (frequency assignment problem) formulation. More precisely, two conflicting objectives – the interference cost and the separation cost – are considered to characterize FAP as an MO (multiobjective optimization) problem.

The contribution to this specific telecommunication problem in a real scenario follows a recent approach, for which the authors have already accomplished some preliminary results. In this paper, a much more complete analysis is performed, including two well‐known algorithms (such as the NSGA‐II and SPEA2), with new results, new comparisons and statistical studies. More concretely, in this paper five different algorithms are presented and compared. The popular multiobjective algorithms, NSGA‐II and SPEA2, are compared against the Differential Evolution with Pareto Tournaments (DEPT) algorithm, the Greedy Multiobjective Variable Neighborhood Search (GMO‐VNS) algorithm and its variant Greedy Multiobjective Skewed Variable Neighborhood Search (GMO‐SVNS). Furthermore, the authors also contribute with a new design of multiobjective metaheuristic named Multiobjective Artificial Bee Colony (MO‐ABC) that is included in the comparison; it represents a new metaheuristic that the authors have developed to address FAP. The results were analyzed using two complementary indicators: the hypervolume indicator and the coverage relation. Two large‐scale real‐world mobile networks were used to validate the performance comparison made among several multiobjective metaheuristics.

The final results show that the multiobjective proposal is very competitive, clearly surpassing the results obtained by the well‐known multiobjective algorithms (NSGA‐II and SPEA2).

The paper provides a comparison among several multiobjective metaheuristics to solve FAP as a real‐life telecommunication engineering problem. A new multiobjective metaheuristic is also presented. Preliminary results were enhanced with two well‐known multiobjective algorithms. To the authors' knowledge, they have never been investigated for FAP.

This study aims to elucidate the value creation process within a culturally diversified museum (CDM), which aims to achieve social inclusion, i.e. bridging the social divide between mainstream and minority communities, through the integration of CDM’s and visitors’ resources. Using service logic (SL) theory as the theoretical lens, we aim to unveil the CDM’s unique service provider and customer (visitor) resources, the corresponding resource integration process that explains value co-creation and co-destruction and the resultant value outcomes for social inclusion.

A case study of an Australian CDM is used, involving various qualitative data sources, including depth interviews, focus groups, visitor book content analysis, on-site observation and participation in the CDM’s events and forums.

The findings provide insights into the unique CDM and visitor resources that are integrated to achieve value outcomes that foster social inclusion. However, the results suggest that alongside value co-creation, co-destruction can unfold, causing a (mis)alignment with the aim of the CDM to bridge the social divide between mainstream and minority communities.

This study’s findings offer salient implications for CDMs and similar service providers that enables social inclusion and policymakers.

This study contributes to the service domain by highlighting the importance of the alignment between provider and customer resources to co-create value within a culturally diversified context. That is, CDMs can learn from the misalignment of their resources and those of their visitors to improve their resource offerings and achieve greater social inclusion outcomes in the future.

The purpose of this study is to address the complexity involved in computing the fatigue life of casted structure with porosity effects in aero engine applications. The uncertainty of porosity defects is addressed by introducing probabilistic models.

One major issue of casted aluminium alloys in the application of aerospace industries is their internal defects such as porosities, which are directly affecting the fatigue life. Since there is huge cost and time effort involved in understanding the effect of fatigue life in terms of the presence of the internal defects, a probabilistic fatigue model approach is applied in order to define the realistic fatigue limit of the casted structures for the known porosity fractions. This paper describes the probabilistic technique to casted structures with measured porosity fractions and its relation to their fatigue life. The predicted fatigue life for various porosity fractions and dendrite arm spacing values is very well matching with the experimentally predicted fatigue data of the casted AS7G06 aluminium alloys with measured internal defects. The probabilistic analysis approach not only predicts the fatigue life limit of the structure but also provides the limit of fatigue life for the known porosity values of any casted aluminium bearing support structure used in aero engines.

The probabilistic fatigue model for addressing porosity in casting structure is verified with experimental results.

This is grey area in aerospace and automotive industry.

This work is original and not published anywhere else.