La pedagogia relazionale e l'educazione estetica

Il saggio si propone di porre a fondamento dell\u2019educazione estetica la teoria relazionale dell\u2019esperienza (E. Paci) coniugata con la fenomenologia come metodo di ricerca nella comprensione e nella fruizione dell\u2019attivit\ue0 estetica (tanto del soggetto produttore quanto del soggetto contemplante), seguendo una linea di ricerca che conduce Luigi Pareyson a Dino Formaggio per prolungarsi ad Hans R. Jauss e a R. Arnheim. La filosofia estetica fenomenologica e la psicologia (inserendosi il problema della percezione) forniscono le basi per la realizzazione del programma di educazione estetica da promuovere in tutto l\u2019arco dell\u2019esperienza apprenditiva del soggetto

Mutamenti di paradigma nell\u2019educazione interculturale

Analisi teorica e storica sui mutamenti nell'educazione interculturale. Verso una prospettiva transculturale e la costruzione di un curricolo

E-grocery logistics: exploring the gap between research and practice

Purpose: This paper investigates the logistics management in the e-grocery sector. It contrasts the key issues faced by practitioners and the topics addressed in the academic literature, to identify potential misalignments between research and practice and propose avenues for future efforts. Design/methodology/approach: This work adopts a twofold methodological approach. From an academic perspective, a systematic literature review (SLR) is performed to define the topics addressed so far by scholars when analysing e-grocery logistics. From a managerial perspective, a Delphi study is accomplished to identify the most significant issues faced by logistics practitioners in the e-grocery context and the associated significance. Findings: The study develops a conceptual framework, identifying and mapping the 9 main logistics challenges for e-grocery along 4 clusters, in the light of a logistics-related revision of the SCOR model: distribution network design (area to be served, infrastructures), order fulfilment process (picking, order storage, consolidation, delivery), logistics-related choices from other domains (product range, stock-out management) and automation. These elements are discussed along three dimensions: criticalities, basic and advanced/automation-based solutions. Finally, the main gaps are identified – in terms of both under-investigated topics (order storage and stock-out management) and investigated topics needing further research (picking and automation) – and research questions and hypotheses are outlined. Originality/value: This paper provides a threefold contribution, revolving around the developed framework. First, it investigates the state of the art about e-grocery logistics, classifying the addressed themes. Second, it explores the main issues e-grocery introduces for logistics practitioners. Third, it contrasts the two outcomes, identifying the misalignment between research and practice, and accordingly, proposing research directions

Smart metering and Internet of Things for efficient water management

Global water use has grown steadily in the past decade, and climate change will further worsen the levels of water stress. Another global issue lies in the ageing of water infrastructures, registering conspicuous water losses (40% in the Italian scenario). A great opportunity is represented by the exploitation of new technologies relating to IoT, namely smart meters, which can enable the prediction of water consumption, detect leaks, and customise the service. This paper assesses the economic and environmental impact of smart meters adoption for water consumption, by taking the Italian scenario as a reference context, through the development of an analytical model which considers the benefits and costs associated with their adoption, with the ultimate objective of evaluating the convenience of the investment. Data to feed the model was collected through secondary sources, literature reviews, and interviews with utility companies' employees. Results provide corroborating evidence of the positive impact of smart water meter adoption, both in economic and environmental terms, in particular by increasing the roll-out number, given the higher amount of data available and economies of scale to be exploited. The present study contributes to the academic literature by providing a comprehensive model that considers economic and environmental aspects of smart water adoption, which allows practitioners to have an insightful understanding of the involved variables in such investments

Big Bang nucleosynthesis revisited via Trojan Horse Method measurements

Nuclear reaction rates are among the most important input for understanding the primordial nucleosynthesis and therefore for a quantitative description of the early Universe. An up-to-date compilation of direct cross sections of 2H(d,p)3H, 2H(d,n)3He, 7Li(p,alpha)4He and 3He(d,p)4He reactions is given. These are among the most uncertain cross sections used and input for Big Bang nucleosynthesis calculations. Their measurements through the Trojan Horse Method (THM) are also reviewed and compared with direct data. The reaction rates and the corresponding recommended errors in this work were used as input for primordial nucleosynthesis calculations to evaluate their impact on the 2H, 3,4He and 7Li primordial abundances, which are then compared with observations.Comment: 22 pages, 7 figures, accepted for publication in The Astrophysical Journa

Smart Retailing: a model to assess the economic sustainability of smart shelf-enabled dynamic pricing

Smart Retailing, a new approach to retail management that leverages digital technologies, is gaining much attention, as it enables innovation and improvements in consumers’ quality of life. However, the potentialities stemming from the application of such technologies are still not fully explored. Investment analyses addressing specific technologies could be useful to fill the academic gaps and guide retailers in their digital transition. This paper aims thus at evaluating the economic sustainability of investment in smart shelves, which are employed to perform dynamic pricing in presence of perishable goods. A model simulating the pricing variation in different scenarios was built and economic and financial analyses were performed to evaluate the sustainability of the investment. Data to feed the model were collected through semi-structured interviews with a smart shelf technology provider and three grocery retailers. The results show that the employment of smart shelves allows retailers to increase their profits. First, they are always able to assign to the product the price which most accurately reflects the customers’ willingness to pay. Second, the costs related to misplacement issues are reduced. This study contributes to the knowledge in this unexplored field by providing a model that simulates the dynamic pricing policy after the introduction of smart shelf technology and evaluates its economical sustainability. It also provides retailers who want to join the digital transformation of the stores with a useful tool to guide their investments

Combining crowdsourcing and mapping customer behaviour in last-mile deliveries

In the light of the dramatic rise of online sales, last-mile deliveries (i.e., the delivery of products ordered online to the final customer) have been increasingly gaining the attention of both managers and academics. As a matter of fact, they are very critical in terms of effectiveness (as customers demand fast and accurate deliveries), and efficiency (since they imply very high costs). Henceforth, logistics players operating in the B2C e-commerce environment are striving to find and implement innovative solutions, different from the costly traditional by-van home deliveries. Among the options analysed by scholars so far, two promising ones are crowdsourcing logistics (i.e., outsourcing delivery activities to “common” people) and mapping the behaviour of customers (i.e., analysing the probability distribution of the customer presence at home and accordingly scheduling deliveries to minimise the probability of failed deliveries). In this paper, we introduce and study a combination between the two solutions, proposing a variant of the Vehicle Routing Problem, which considers both the Availability Profiles and Occasional Drivers (VRPAPOD). We model the delivery problem as a mixed-integer program and solve it with a branch-and-price algorithm. To analyse the benefit of the combined use of crowdshipping and customers availability profiles (APs), we conduct several experiments in a real context in the city of Milan, randomly extracting 100 customers in a 16 km2 area. The combined solution is compared with two benchmarking models, namely the traditional home delivery (traditional VRP) and the crowdsourcing logistics option (Vehicle Routing Problem with Occasional Drivers (VRPOD)). Results prove that logistics players can achieve important benefits by relying on the crowd and scheduling deliveries according to clients' APs, which become more significant in case of high drivers availability

Semplicit\ue0 di Socrate e buon senso di Galileo. Dell\u2019insegnamento e dei manuali di filosofia nei licei italiani da Torino a Modica [1848-1909],

Una ricostruzione storica sull'insegnamento della filosfia nei licei dal 1848 al 1900. Con particolare riferimento ai programmi didattici, manuali di filosofia e formazione dei docenti

Cluster states in nuclei as representations of a U(n+1) group

We propose a description of cluster states in nuclei in terms of representations of unitary algebras U(n+1), where n is the number of space degrees of freedom. Within this framework, a variety of situations including both vibrational and rotational spectra, soft and rigid configurations, identical and non-identical constituents can be described. As an example, we show how the method can be used to study alpha-clustering configurations in 12C with point group symmetry D(3h).Comment: 5 pages, 2 figures, Phys. Rev. C, in pres