The project aims at invigorating the competitiveness of farmers and SMEs in the Mediterranean agri-food sector by proposing and piloting a menu of innovative governance and marketing solutions. These solutions try to deal with the producer fragmentation and the lack of a customer-oriented approach that typically burden the upstream stages of the Mediterranean food supply chain. To this end, our research focuses on two main ways of improving smallholder competitiveness and strengthening their position in the value chain. On the one hand, we focus on Cooperatives and other POs (WP1) and Geographical Indications of origin (GIs) (WP2), as fundamental tools for achieving cooperation and integration in agri-food chains. On the other, we consider new market opportunities for smallholders (WP3) arising from technology (e.g., e-commerce) and regulation (e.g., public procurement). Based on these research areas, the motivations and objectives of the project are as follows. First, the success of cooperatives or producer organisations differs substantially across types of co-op or PO, countries and industries, and significant inefficiencies can still be found in their operation. Therefore, WP1 will identify and assess pressing organisational challenges facing POs in the agri-food system, and will benchmark cooperative performance relative to other types of organization. It will then co-create, together with Mediterranean cooperative leaders, solutions to their dilemmas and a road map to continuously and sustainably build capabilities for change in their organizations. Second, the effectiveness of GI systems to facilitate access to local and international markets and to adapt to the sustainability challenges of agri-food chains is conditioned by both their internal governance systems and their institutional environments. Thus, WP2 will seek to identify and explore the feasibility of new or improved governance solutions to improve the functioning of the European GI system and the competitiveness of GI associated producers, assessing (in collaboration with other SC stakeholders) their effectiveness in different institutional settings. Third, taking advantage of e-commerce or accessing public procurement contracts is not easy for smallholders and POs. This is because of high investment risks, lack of awareness of their business models and technology, and regulatory uncertainty. Consequently, WP3 will investigate alternative e-business models for agri-food producers, the critical drivers of smallholders’ e-business transformation, and how public procurement policies can increase SMEs’ participation in public markets and ensure the sustainability of public procurement. The proposed methodology is multi-approach and multi-actor. This is because, going beyond the traditional, quantitative, survey-based studies, we propose the study of success cases to identify the most effective solutions and co-create with various agri-food supply chains (agri-food SC stakeholders) new solutions and how they can be adapted, putting them into practice in some organisations. Furthermore, these methodologies are transversal insofar as they will be applied in the three work packages into which this research is grouped (WP1, WP2, and WP3). Implementation is also supported by two additional work packages: dissemination, communication, and exploitation (WP4) and management (WP5). WP4 is key in this project because smallholders must be aware of this menu of solutions and their effectiveness so that they can implement them in their organisations and improve their competitive position in the agri-food supply chain. The AGRICOMPET consortium is made up of 7 inter-disciplinary teams (economics, management, and marketing) from 5 Mediterranean countries (Spain, France, Italy, Greece, and Turkey) with extensive experience in agri-food and research projects.

Nowadays great attention is paid to the Industry 4.0. concept whose central idea is the exploitation of large amounts of data generated by different kinds of sensors, to enact highly automatized, robust processes and to develop high quality monitoring systems of process realization that support intelligent semi-autonomous decision making. At the same time, big data analytics as core competency and a process-oriented management approach are very often indicated as one of the main pillars of any modern company. Towards this, the main objective of PACMEL is to develop a process-aware analytics framework for analyzing data from sensors and devices to enable the use of this data for process modeling and analysis, with the aim of improving the business processes according to the BPM cycle. The framework can be applied to the data system of smart factories to support the business process management activities in the scope of process modeling and analysis. On the one hand, it will allow the creation of conceptual models of particular industrial processes being executed in the factory, taking into account the various abstraction levels of the collected data, by combining knowledge extraction techniques with semantic technologies such as ontology-based data access and integration. On the other hand, it will support model mapping methods and visualization techniques that allow one to relate the interpreted sensor data to the process models for process analysis. We will use a real dataset, related to a very complex and specific process, from an industrial domain (mining). The complexity of the considered process is a consequence both of its intrinsic characteristics, and of the conditions under which it is realized. Working with this challenging example will bring valuable insights and results that can be applied across various industrial domains including aeronautics and manufacturing.