Digital platforms have the ability to connect people, organizations and resources with the aim of facilitating the core interactions between businesses and consumers as well as assuring a greater efficiency for the business management. New business concepts, such as innovative start-ups, are therefore created based on innovation, scalability and the relationships within the community around them. The purpose of this work is to deeply understand the evolution of business models brought by innovative and dynamic companies operating through online platforms. In order to achieve the objectives set, an exploratory multiple-case study was designed based on in-depth structured interviews. The aim was to conduct a mixed analysis, in order to rely both on qualitative and quantitative data. The structured interview protocol was therefore designed to collect and then analyse data concerning the company profile and managers’ perspectives on the phenomenon of interest. The interview protocol was submitted in advance and then face-to-face interviews were carried out with the following professional figures: Chief Executive Officer (CEO), General Manager, Chief Technology Officer (CTO), Marketing Manager and Developers. Collected data were analysed and processed through the Canvas Business Model in order to clearly outline similarities and differences among the sample. Results can be considered under two viewpoints. On the one hand, this work provides a detailed overview of the companies interviewed, according to the dimensions of: reference market dynamics, type and number of customers, scalability. On the other one, they allow to identify some success patterns regarding key activities, key resources, channel mix strategy, costs management, value proposition, customer segmentation, key partners and the way to obtain revenues. Results from the multiple-case study with 15 Italian start-ups provide interesting insights by comparing the innovative business models developed and highlighting key differences and similarities. Overall, the start-ups analyzed, operating in several sectors, showed great growth prospects and the possibility to create value for their customers through innovative products and services offered through digital platforms.

According to the United Nations (UN), although cities occupy only 3% of Earth’s surface, they host more than half of the global population, are responsible for 70% of energy consumption, and 75% of carbon emissions. All this is a consequence of the massive urbanization verified since the 1950s and which is expected to continue in the coming decades. A crucial issue will therefore concern the management of existing cities and the planning of future ones, and this was also emphasized by the UN Sustainable Development Goals (SDGs), especially in Goal 11 (Sustainable Cities and communities). Smart Cities are often seen as ideal urban environments in which the different dimensions of a city (economy, education, energy, environment, etc.) are managed successfully and proactively. So, one of the most important challenges cities will have to face, is to guide citizens towards a form of “clean” energy consumption, and the dimension on which decision-makers will be able to work is the decarbonization of transport. To achieve this, electric mobility could help reduce polluting emissions on the road. Within this research, the strategies that six Smart Cities (London, Hamburg, Oslo, Milan, Florence, and Bologna) have implemented to encourage the transition to this form of mobility have been studied. Through a systematic review of the literature (Scopus, Google Scholar, and Web of Science) and through the study of the main political/energy documents of the cities, their policies on electric mobility have been evaluated. Then, for each city, SDG 11.6.2 was analyzed to assess the air quality in the last four years (2016–2019) and, therefore, the effectiveness of the policies. The analysis showed, in general, that the policies have worked, inducing reductions in the pollutants of PM2.5, PM10, NO2. In particular, the cities showed the most significant reduction in pollutant (above 20%) were Hamburg (−28% PM2.5 and −2%6 NO2), Milan (−25% PM2.5 and −52% NO2), and London (−26% NO2).

Access to healthy food and the introduction of sustainable nutrition practices are two important issues today. The COVID-19 pandemic has brought new challenges to food security but it has also provided opportunities for local food production. The discussion on local food has been gaining attention in recent years, but there is still a lack of clear understanding of the term ‘local food’ in the literature. The relationship between local food and sustainability issues is still unclear and has various connotations. This discordance leads to further discussions on whether buying local food should be considered a sustainable behavior and whether consumer preference for local food can be perceived as a sustainable practice. A scoping literature review was conducted in order to fill this gap and to shed light on the main tendencies of the scientific literature regarding this topic. The outcomes of the research revealed three dimensions of ‘local food’ definitions in the literature: geographical, geopolitical, and organic; while the problem of a unified local food definition remains open. The studied literature did not show any sound evidence for sustainability attributes in the definition of local food and consumer perception of local food.

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The paper is part of a broader research project studying consumer’s attitude towards “Made in Italy” products through empirical investigation. The research questions addressed are: 1) Does recognition in terms of the qualitative characterization of “Made in Italy” products exist? And if so, 2) are people willing to pay, in quantitative terms, a premium price for such products? From a theoretical standpoint, the research seeks to fill a gap in the literature, since studies combining the “made in” characteristic with measured “willingness to pay” are neither conventional nor numerous. The specific purpose of this contribution is to analyze the relationship between the purchase of “Made in Italy” products, recognition of the quality and willingness to pay a premium price on the part of Italian consumers, reporting the results of an empirical research. The survey involved a total of 315 Italian consumers while three commodity sectors were analysed: food, fashion and mechanical automation. The results confirm that there is a propensity to purchase “Made in Italy” products which does not seem to be a matter of irrational consumer behaviour. “Made in Italy” is confirmed as a conceptual category consolidated in the minds of consumers, since there is clear recognition of these products in terms of qualitative characterization. These and other results of the research (which need to be confirmed and extended with further empirical investigations) should prove relevant both to the literature and as indications for public policies and the strategies of companies operating in the sectors examined. For the literature this research can be useful because there is no complete overview of quantitative data on the premium price. It can also serve for public policies because quantification of the premium price can influence the choices and strategies of companies. This study shows a significant willingness to pay a premium price for the three sectors analyzed, although the premium price is not homogeneous: while the measures range mostly between 10 and 30%, higher values appear for products in the food sector.

This paper evaluated the environmental impacts of different agronomic practices for a hemp seed crop grown in Mediterranean environment. The following agricultural variables have been considered: seven monoecious hemp varieties(Epsilon68 (E68), Fedora17 (F17), Felina32 (F32), Ferimon (Fe), Futura75 (F75), Santhica27 (S27), Uso31 (U31)), three plant densities (40, 80, and 120 plants m−2), and two levels of nitrogen (N) fertilization (50 and 100 kg ha−1 of N). Life cycle assessment (LCA) and carbon footprint (CF) methodologies have been applied to evaluate impacts. In all hemp genotypes, the impacts grew by decreasing both N fertilizer and plants densities. The scenario most impacting was E68/F75/S27 genotypes cultivated with 50 kg ha−1 of N fertilizer and 40 plants m−2, while the lowest one was Fe with 100 kg ha−1 of N fertilizer and 120 plants m−2. The highest CF was found for E68/F75/S27 cultivated with 50 kg ha−1 of N fertilizer and 40 plants m−2 (18.720 kg CO2 eq). This study highlighted the most environmentally sustainable agronomic practices to support farmer and decision maker in Cannabis sativa L. cultivation for seed production.

Industrial Hemp, Cannabis sativa L., is characterized by low content of THC (<0.2%). An edible oil with excellent nutritional proprieties is obtained from cold pressing of hempseed. Since Hempseed oil is not reported in a Regulation yet, in order to ensure quality parameters, it is necessary to optimize standard methods (taken from the Regulation for EVOO). In this work, the standard method of quality parameters (free fatty acidity, peroxide number, and anisidine number) were miniaturized and optimized for Hempseed oil matrix. The miniaturized methods result in being sustainable, in environmental and economical perspectives, by using a smaller amount of chemicals (e.g., reagents, solvents), also reducing waste production and the sample needed in relation to the high cost of the Hempseed oil (60–70 €/L). The standard methods of miniaturization, carried out by using the Central Composite Design, allow for great saving of sample (5.35 g vs. 29 g) and reagents (up to 50%).

The electro-mobility of vehicles could solve the negative effects of road transport, by decreasing greenhouse gas emissions. However, some electric vehicles also have a negative impact on the environment related to the nature of electricity used. This paper aims to evaluate the electricity sources for electric vehicles using a Life Cycle Thinking approach. Life cycle assessment, using several midpoints and endpoint methods, highlighted that the most damaging sources were lignite and diesel, while hydropower, wind, and biomass were the most sustainable ones. Cumulative energy demand showed that biomass used the least energy (0.034 MJ eq.), but originates from 100% non-renewable sources. Lignite, which also comes from 100% non-renewable sources, used the most energy (17.791 MJ eq.). The lowest carbon footprints were for wind, biomass, and photovoltaic (<0.1 kg CO2 eq). Municipal waste incineration and natural gas had a medium impact, while lignite, coal, peat, and diesel had a high impact (>1.0 kg CO2 eq.). Considering life cycle costing, photovoltaic electricity generation was the most expensive (0.2107 USD/kWh) while natural gas the cheapest (0.0661 USD/kWh). Therefore, this study presents an integrated approach that may offer a valid tool for decision-makers, giving them the possibility to choose the electricity sources for electric vehicles.