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The design of a space launcher requires some considerations about the unsteady loads and heat transfer occurring at the base of the structure. In particular, these phenomena are predominant during the early stage of the flight. This paper aims to evaluate the ability of the unstructured, high order finite-volume CFD solver FLUSEPA, developed by Airbus Safran Launchers, to accurately describe these phenomena.

This paper first performs a steady simulation on a base flow around a four-clustered rocket configuration. Results are compared with NASA experiments and Loci-CHEM simulations. Then, unsteady simulations of supersonic H2/air reacting mixing layer based on the experiment of Miller, Bowman and Mungal are performed. Three meshes with different cells number are used to study the impact of spatial resolution. Instantaneous and time-averaged concentrations are compared with the combined OH/acetone planar laser-induced fluorescence imaging from the experiment.

FLUSEPA satisfactorily predicts the base heat flux at the base of a four-clustered rocket configuration. NASA Loci-CHEM reactive simulations indicate that afterburning plays an important role and should not be neglected. The unsteady reactive computation of a supersonic mixing layer shows that FLUSEPA is also able to accurately predict flow structures and interactions. However, the complexity of the experiment and the lack of details concerning the facility prevents from obtaining satisfactory converged results.

This study is the first step on the development of a cost-effective method aiming at predicting unsteady loads and heat transfer on space launchers using an unsteady and reactive model for the CDF calculations. It uses original techniques such as conservative CHIMERA-like overset grids, local re-centering of fluxes and local adaptive time-stepping to reduce computational cost while being robust and accurate.

A network of partners helps and assists a crowdfunding platform (CFP) in scouting, assessing and selecting projects. This cooperation increases the number of successful projects by attracting a sizable number of investors, proponents and attracting marginal investors when a campaign falls short of the threshold for success. This study examines the role of partner networks in a platform ecosystem, specifically in terms of number of different partners and their diversity in the performance of the crowdfunding campaign.

Using logistic and linear regressions, we analyze a sample of 233 projects, both funded and not funded, launched by 10 Italian equity CFPs between 2014 and 2018.

Our findings indicate that the variety of partners in a platform's network influence the probability of campaign success and how much capital the proponent company raises. CFPs are resource-constrained new ventures, and a network with a wider variety of partners ensures the strategic resources and competencies that are required in an early stage market, thus facilitating campaign funding.

The variety of partner networks could help CFPs to offer unique and strategic value propositions and define the competitive positioning of platforms.

This study provides a deeper understanding of the determinants of equity crowdfunding campaign performance by emphasizing the role of CFP's network of partners on the entire crowdfunding ecosystem and its underlying organizational elements.

Beginning with a historical outline and the definition of tourism as a privileged opportunity for physical and spiritual renewal, the author deals with the question of how young people put themselves in touch with religion and spirituality. After 2012, Catholic pastoral has changed: not only devotional attention to the pilgrimages but also an overview of the resources constituted by sacred places as a tool for socioeconomic and cultural development of destinations. Religious tourism means an appropriate moment to let the body relax and to nourish the spirit: from this approach, the author shows examples of ‘religious light tourism’ in Europe founded on an ecumenical approach and on sustainability. The effects are positive: for the offer, new jobs (guides, resorts, enogastronomic and folkloristic services); for the demand, a new way to preserve the beauty of creation for future generations, by offering emotional and not massive travels: Caminos, trekking and slow paths, in order to know local traditions and nature. Therefore, ‘religious light tourism’ is a champion of sustainability and responsible tourism because religious tourism is, usually, less affected by season's trends, social and economic crisis (but not in the present COVID-19!).

This study empirically explores the factors that influence consumers’ readiness toward engagement in circular food consumption.

A conceptual model based on the motivation–opportunity–ability (MOA) framework was developed. In addition to all the classical relationships in this theoretical framework, respondents' age and education were added to the model. An online survey was conducted, resulting in an overall sample of 411 Italian participants. Data were statistically analyzed by using partial least squares structural equation modeling (PLS-SEM).

The results indicated that motivation, opportunity and ability had positive effects on consumers’ readiness toward engagement in circular food consumption (CFC). Of all the constructs, intrinsic motivation had the most significant impact on consumers’ readiness toward engagement in CFC. The results also showed that sociodemographic traits—particularly age and gender—significantly influenced consumer readiness toward engagement in CFC. Practical and policy implications are proposed based on the study findings.

The study analyzes factors influencing consumers' readiness to engage in CFC. While great attention has been paid toward circular economy (CE) implementation in food consumption, empirical evidences on how to prompt the consumers' readiness toward CFC are still lacking. More specifically, the authors explore for the first time, sociopsychological factors affecting consumers' readiness to reduce, reuse and recycle technical components of food products, using the MOA theory as conceptual model.

Digital transformation affected modern society influencing how businesses cooperate and produce value. In this context, Artificial Intelligence plays a critical role. This study aims to explore the role of Artificial Intelligence in organisational positioning within the market, influencing firms' competitiveness. In this vein, this research seeks to respond to the following research question: How does AI impact the competitive advantage of healthcare organizations?.

To tackle the research question, an explorative analysis using the case study method to investigate an international healthcare center in Dubai was conducted. Nine semi-structured interviews were conducted with the head and the members of the robotic surgery team in CMC Dubai to thoroughly understand what the components of the robotic approach are and how the arrangement before the introduction of this innovative technique while shedding light on the added value and the advantages of adopting such technique on both patient safety and patient satisfaction. Additionally, archival data and online documentation (e.g. industry reports, newspaper articles and internal documents) were analyzed to obtain data triangulation.

The results highlight three primary outcomes influenced by implementing AI in organizational processes: clinical, financial and technological outcomes. The study will offer interesting non-studied insights about the implementation of Artificial Intelligence tools in the healthcare sector and specifically robotic surgeries, and to which extent this will contribute and represent a competitive advantage. Results will hopefully insert a brick in the wall of the impact of AI tools on the quality and the results of surgical operations while emphasizing the benefits of integrating AI in surgical practice.

This study offers interesting theoretical and practical implications. It opens a new perspective to understand and manage AI tools in service. This research is not without limits providing valuable insights for future research.

The present research aims to develop and test an evaluation support model for decisions alert soil surface saving to be used in the redevelopment of abandoned and degraded properties through involvement of private developers.

Adapting operations research principles to the public–private partnership features that are typical of urban planning issues, the model pursues a complex objective function, that concerns urban parameters to be attributed to properties to be recovered. An elaboration of a Pareto-optimal frontier has defined possible scenarios for different trends of the variables under consideration.

The efficiency of the model is verified through application to a real case study concerning urban renewal of a property in disuse located in a city in Southern Italy. The outputs confirm the potentialities and flexibility of the proposed model to support urban planning decisions by improving the implementation of conservation policies, in terms of a reduced impact of urban transformation projects on the available natural land surface.

Depending on the objectives of public sector, the model can generate a range of urban parameter combinations to be attributed to the recovered properties to achieve low consumption of natural surfaces, with bargaining between the public and private sectors around these parameters. The model can also be used in the initial phases of the renewal initiative, when it is necessary to define the costs and the revenues involved or to assess alternative solutions capable of reducing impacts on the environment.

The model can be applied to identify the appropriate rewards in a project that can stimulate the private developers to realize further public infrastructures and services than minimum quantities established by the current local urban regulations. In this sense, the model represents an original scientific reference in the current strategies promoted by the European Union for achievement of a “no net land take” by 2050, aimed at reducing natural surface occupied by buildings and roads.

This study investigates the variables that play a role in the purchase intention of a hot beverage at a vending machine (1) served in a 100% recyclable plastic single-use cup, (2) served in a biodegradable paper single-use cup and (3) served in personal, reusable cups brought by customers. The variables considered are perceived environmental benefits (PEBs), perceived contamination risk (PCR), social norms (SNs), value for money (VM), gender and age. The secondary objective is to investigate respondents’ perceptions of these cups using the first four variables and to assess the existence of significant differences among them.

For the first purpose, three separate logistic regression models on purchase intention were created, considering PEBs, PCR, SNs, VM, gender and age as independent variables. For the second purpose, the analysis relied on Friedman’s nonparametric test. The entire survey was conducted in Italy on a sample of 1,006 consumers.

SNs and VM are the variables with the greatest influence on final purchase intention. PEBs seem to have an effect only in the case of the plastic and paper single-use cups, while PCR only in the case of the reusable cup. Neither gender nor age seem to play a significant role in final purchase intention. Friedman’s test revealed significant differences among the three cup types in terms of perceptions, but not in the case of the PCR variable.

The study is the first to compare new single-use cups with reusable cups from vending machines in terms of consumers’ perceptions and preferences.