Agri‐Food producers have a responsibility to provide safe, secure and sustainable food in a world characterized by disruption and increasing intolerance of waste along supply chains. As such, it is critical that they adopt new technologies to ensure efficient and effective management of their responsibility. While Industry 4.0 (I4.0) technologies can underpin process innovation opportunities, there is a gap in research‐based understanding of how they influence innovation practice and outcomes in Agri‐Food. In this paper, we investigate how I4.0, as a set of enabling technologies, influences core process innovation practice and product innovation outcomes in Agri‐Food firms. We present case studies of two Spanish firms processing fresh food products, competing in two important subsectors of the industry, meat and fruit and vegetables. We used secondary material and semi‐structured interviews as data sources. The findings describe how, in the two cases, I4.0 has enabled responses to new customers requirements through process innovations resulting in enhanced functionality, aesthetics and meaning of the delivered products. Our paper contributes a framework identifying for researchers and managers how I4.0 technologies act as enablers of the core innovation processes and competitive outcomes.

No abstract

The debate on the multifunctionality of agriculture and its connections with territorial policies are the basis of the most appropriate approach to legitimize public interventions in the agricultural sector. The main obstacle of this public intervention is to know the goods and services provided by agricultural systems and elicitation of the social preferences for them. We created a descriptive approach for the multifunctionality of agricultural systems that is based on the review of the scientific literature focused on multifunctionality and the goods and services of agricultural systems. The review shows a large variety of activities and approaches, which can be grouped by their economic dimension, social dimension and environmental dimension. Multicriteria techniques, such as the Analytic Hierarchy Process (AHP), can help elicit the priorities and the relative importance of different functions attributed by the society as a whole. The authorities can take into account these results to inform and support their political decisions. This paper describes a methodological approach to determine the Social Welfare Function by using AHP. The proposed methodology is applied to the “Huerta de Valencia”, a rich peri-urban agricultural system with a variety of resources, around which there is an open political-institutional debate to define a protection scheme. The results are very interesting and useful to enrich this debate.

Solar energy generated by grid-connected photovoltaic (GCPV) systems is considered an important alternative electric energy source because of its clean energy production system, easy installation, and low operating and maintenance costs. This has led to it becoming more popular compared with other resources. However, finding optimal sites for the construction of solar farms is a complex task with many factors to be taken into account (environmental, social, legal and political, technical-economic, etc.), which classic site selection models do not address efficiently. There are few studies on the criteria that should be used when identifying sites for solar energy installations (large grid-connected photovoltaic systems which have more than 100 kWp of installed capacity). It is therefore essential to change the way site selection processes are approached and to seek new methodologies for location analysis. A geographic information system (GIS) is a tool which can provide an effective solution to this problem. Here, we combine legal, political, and environmental criteria, which include solar radiation intensity, local physical terrain, environment, and climate, as well as location criteria such as the distance from roads and the nearest power substations. Additionally, we use GIS data (time series of solar radiation, digital elevation models (DEM), land cover, and temperature) as further input parameters. Each individual site is assessed using a unique and cohesive approach to select the most appropriate locations for solar farm development in the Valencian Community, a Spanish region in the east of Spain.

Purpose:This work provides an analysis and an optimization model of the spatial impact for the externalities derived from urban regeneration and rehabilitation of degraded and segregated historic heritage areas.Design/Methodology/Approach: From the amount invested and state intervention locations, an impact index is put forward. The spatial distribution of these impact indexes in the interventions' area of influence will be the basis for the analysis. Hence, by setting some specific objectives of the decision agent about this distribution homogeneity, and with the aim of avoiding inner segregation and to facilitate the sustainable urban development and cohesion of the neighborhood as a whole, a model which will allow the allocation of the budget available among the different locations fixed a priori is proposed. Findings:By comparing the spatial distributions of impact indexes obtained in both situations, a measure of the urban regeneration and rehabilitation process and its impact can be obtained. Originality/value:In order to favour the neighborhood internal cohesion and to avoid inner segregation, the model enables to better address priority areas of intervention inside a historic heritage urban area and to better achieve sustainable urbanization by providing a more equitably and efficiently managing of resources.