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This paper aims to explore the connectivity between social media use, access to migrant networks, information asymmetry and migration intentions.

The study was conducted using data from individuals living in Nigeria and analysed with a generalized structural equation model, which is rare for this kind of research.

The authors find a dual mediating role of the social media and the migrant networks in facilitating migration, i.e. reducing the threshold cost required to migrate and introducing a bias in terms of information asymmetry. While social media and access to migrant networks directly increase migration intentions, this changes when incomplete information is provided. People who use social media and their migrant networks for information are more likely to have information about destination countries than information on the transit risk.

The study adds valuable insights for designing awareness campaigns aimed at reducing irregular migration.

This study contributes to the understanding of the intersection of migration and digitalization

This chapter opens the second part of the Volume, focusing on the small farms' role and dynamics within the evolving food system. Assessing small farmers' actual and potential contribution to the change towards a sustainable food and nutrition security requires a deep understanding of their strategic decision-making processes. These processes take place in a context highly conditioned by internal and external conditions, including the complex relations between farm and household, which are mapped and described. Building on an adaptation of Porter's model (Porter, 1990), the chapter investigates how farmers, given those conditions, define their strategies (in particular their innovation strategies) aimed at economic and financial sustainability through a multidisciplinary analysis of scientific literature. Internal conditions are identified in the light of the Agricultural Household Model (Singh & Subramanian, 1986) which emphasizes how family farming strategies aim at combining business-related objectives, and family welfare. Then, a comprehensive set of external conditions is identified and then grouped within eight categories: ‘Factors’, ‘Demand’, ‘Finance and Risk’, ‘Regulation and Policy’, ‘Technological’, ‘Ecological’, ‘Socio-institutional’ and ‘Socio-demographic’. Similarly, six types of strategies are identified: ‘Agro-industrial competitiveness’, ‘Blurring farm borders’, ‘Rural development’, ‘Risk management’, ‘Political support’ and ‘Coping with farming decline’.

Among the food system's outcomes, food and nutrition security remains a key concern also in developed countries. This chapter analyzes food and nutrition security issues, unpacking the four dimensions in which the concept is articulated: availability, access, utilization and stability. Then the concept is explored, beyond the official definitions, through a description of the various frames that shape the public debate on food and nutrition security. These frames are: the classical productivist view emerged in the early post-war period; the neoproductivism, promoting a sustainable intensification aimed at producing more food while reducing negative environmental impacts, the entitlement approach based on Sen's reflections on people's capability to access food; the food sovereignty (Via Campesina, 1996) which regards food insecurity as an outcome of unequal power relations: the livelihood approach focused on the assets that determine the living gained by the individual or household; the right to food (De Schutter, 2014) based on the status of each individual as a rights-holder; the similar but less individualistic food democracy and food citizenship perspective which focusses on the collective dimension of those rights; the community food security, again close to the food citizenship but with stronger emphasis on communities and localization. Finally, the main contributions given by small farms to food and nutrition security are described, as identified on the base of the SALSA project outcomes.

This chapter focusses on food systems' vulnerability. In a rapidly and unpredictably changing world, vulnerability of farming and food systems becomes a key issue. The conceptual bases for food vulnerability analysis and food vulnerability assessment are discussed in a systemic perspective with an eye to the transition approach (Geels, 2004) as a perspective capable to analyze how novelties can develop and influence the system capability to fulfil societal functions, and food and nutrition security in particular. A framework for assessing people's food vulnerability is presented together with a simple vulnerability model based on the three dimensions of exposure (the degree to which a system is likely to experience environmental or sociopolitical stress), sensitivity (the degree to which a system is modified or affected by perturbations) and adaptive capacity (the ability to evolve in order to accommodate environmental hazards or change) (Adger, 2006). Then, other sections are dedicated to discuss the general questions that should be answered by a vulnerability assessment exercise, and the specific challenges emerging when the assessment concerns a food system. These elements are then used in the Annex to this chapter as a base for the development of a detailed method based on seven distinct steps for conducting participatory assessments of the vulnerability of food systems.

To analyze more deeply and in a systemic perspective food system outcomes, and the contribution that small farming can give to the achievement of those outcomes, a detailed analysis of food systems is required, which highlights its components, activities and dynamics. Thus, this chapter deepens the analysis of the food system. We first reflect on the complexity of the concept of food system, discussing the abundance of different conceptualizations proposed in the scientific and political debate on the base of different disciplines and perspectives. Then, a comprehensive representation is shown, which is then unpacked. The food system actors, assets and functions are explored, with an eye on power relations among actors and on the main drivers of change. Governance (that also includes actors external to the food systems) is called ‘reflexive’, as long as it characterizes a system that is able to reflect upon the conditions and the forms of its own functioning, to detect and analyze threats and to change accordingly, with the involvement of actors external to the food systems. This analysis, which represents the focus of this section, provides the base for the description of the food system vulnerability developed in Chapter 4. Drivers of change and governance emerge as key categories to consider.

Investigating the drivers of consumers’ behaviour towards purchasing in short food supply chains (SFSCs) and clarifying their relationships, the purpose of this paper is to test the theory of planned behaviour (TPB) in order to predict the intention and the behaviour under investigation.

The research includes a literature review of SFSCs. To investigate all the variables (attitudes, subjective norms (SN), perceived behavioural control (PBC) and intention) underlying consumers’ behaviour towards buying in SFSCs, an exploratory survey with a TPB questionnaire and a principal component analysis have been carried out among university students in Italy. Using a system of simultaneous equations, the relationships among variables have been measured.

Findings illustrate that both attitudinal variables (i.e. sustainability, typicality and loyalty), SN and PBC play a key role in the consumers’ intention, that has a predictive effect on behaviour instead of PBC.

This paper fulfils the purpose to explain and predict post-modern consumers’ preferences towards SFSCs, in order to orient policy strategies to support SFSCs.

The purpose of this paper is to develop a novel method to analyse dynamic interactions of stakeholders to explain how a set of agents can act by considering the power/influence positions.

A novel mathematical application uses the importance of characteristics algorithm in combination with composition max-min to compare, group and order information according to the importance of its characteristics. The mathematical application is focused on a strategic analysis, evaluating stakeholder dynamics through power relationships.

The results show a comparison of the relationships among each of the stakeholders to obtain the relative intensity and importance of relationships between them, given by the fuzzy matrix FRInM and the fuzzy matrix FRIM, respectively. This application provides a useful tool for a dynamic analysis of stakeholders in a complex environment, where the best approach to performing a strategic analysis process is sought.

The main implication of the proposed approach is taking into account the importance of information to establish the boundaries and relationships of each characteristic according to its intensity. However, limitations are due to the nature of this research, based on theoretical assumptions regarding stakeholders and the use of a hypothetical example to show the operation of algorithms.

The primary advantage of this proposition is that it takes into account the importance of information to establish the relationships among the characteristics according to their intensity. In addition, it performs multiple comparisons among each characteristic of the information. The interests and opinions of decision makers can be parameterised. A mathematical application shows how each interest group could be classified and related according to subjective information.

This study aims to explore how closed factories could be transformed and provide a path for sustainable development for a territory. The authors focus on the case of the Great Mine Serbariu, located in Carbonia (Sardinia), which used to be the largest coal mine in Italy between 1939 and 1964.

The authors adopt a qualitative research design based on an exploratory single-case study, drawing on interviews with the main stakeholders, on a survey conducted among 5,158 visitors, and on administrative documentation of the City Council.

The analysis of the Great Mine Serbariu case showed that the regeneration of an exhausted mine serves a model of sustainable development, especially for the redevelopment of other urban and industrial degraded areas. The Great mine Serbariu was restored and turned into a place of culture, tourism, research and higher education, with the Italian Cultural Centre of Coal Mining (ICCCM) establishing its headquarters in the heart of the former mine. It attracted almost 220,000 visitors, generating both domestic and international tourist flows and making an industrial heritage a real resource for the area.

This article advances the authors’ understanding of how closed industries could become an instrument for sustainable development on the social, economic, touristic and cultural levels. This study would help local governments with examples to enhance the historical resources to create a new identity that led to a sustainable development of an urban landscape, and to create networks with other comparable museums all over Europe to better exploit the touristic and cultural potential.

This paper analyzes the effect of circular economy practices on firm performance for a circular supply chain and explores the moderating role that big-data-driven supply chain plays within these relationships.

This study uses data collected through an online survey distributed to managers of 378 Italian firms that have adopted circular economy principles. The data are processed using multiple regression analysis.

The results indicate that the three categories of circular economy practices investigated – namely circular economy supply chain management design, circular economy supply chain relationship management and circular economy HR management – play a crucial role in enhancing firm performance from a circular economy perspective. A big-data-driven supply chain acts as a moderator of the relationship between circular economy HR management and firm performance for a circular economy supply chain.

This study makes a number of original contributions to research on circular economy practices in a big-data-driven supply chain and provides useful insights for practitioners. First, it answers the call to capture digital transformation trends and to extend research on sustainability in supply chain management. Second, it enhances the literature by investigating the relationships between three different kinds of circular economy supply chain practices and firm performance. Finally, it clarifies the moderating role of big data in making decisions and implementing circular supply chain solutions to achieve better environmental, social and economic benefits.