The development of agribusiness sector is given gradually increasing importance. This works aims at identifying the elements that create the successful ecosystem for agricultural development, their benefits and application in agri-food systems; additionally, to bring on a light of the role of agricultural policies in these processes. For this purpose, the authors have carried out an analysis of the concern related literature and present a preliminary theoretical framework/model as a tool for supporting local development and incorporate a successful effective ecosystem. The key implications of this paper include an increased attention to agricultural research, to the role of the collaboration between relevant stakeholders, as well as of the agriculture, which uses information technologies for the better utilization of natural resources, and what is the most important is, the role of agricultural policies.

Purpose: Healthy and safety food issues are more and more becoming the purchasing process core of conscious consumer. “Type 1” wheat flour means higher protein and ash content. The purpose of this paper is to investigate the attributes usually referred to the characteristics of wheat flour known to consumers and at implementing a predictive model of purchasing that allows to make correct decisions without the necessary experience of a real human expert. Design/methodology/approach: In order to investigate the research aims of the paper, an online survey was carried out and conducted by means of the Google Forms in the detection time January-April 2016. The online survey collected responses from 467 Italian respondents asked to give feedback about their buying habits of various types of flour. The responses were analyzed through a data mining approach. This paper implements predictive analytics to create a statistical model of future behavior by means of a machine learning algorithms. Findings: In line with recent healthy and dynamic trends in the food industry, conscious consumer seems to be willing to pay a price for “type 1” wheat flour that is four times higher than the price related to the basic types of wheat flour. Social implications: Consumer seems not to know well the “type 1” wheat flour and its healthy characteristics; then, it should be crucial to implement promotional strategies and marketing hand in hand. Promotion can be a key element in putting across the health benefits of special kinds of wheat flour. Originality/value: Highlighting health issues about the “type 1” wheat flour gives insights and sheds some light on the crucial need of changing eating and purchasing behavior. Then, originality of this paper can be found in the used predictive algorithm of the artificial intelligence.

Inner areas are rural areas with low population density, distant from the main hotspots offering essential welfare services and endowed with significant environmental assets and cultural heritage. In Italy, their development is at the core of the national strategy for inner areas. Specific documents and program agreements were issued for each inner area and summarized the intervention themes and projects to implement. However, when the inner areas are considered within a regional territorial ‘matrix’, further collective policy actions have to be identified, through comparison and in-depth analysis of their features and influence on development. Therefore, this research aims to identify and analyse the development needs and potentialities of the inner areas, for strengthening the national strategy and improving their recovery and resilience through collective policy actions. The Multiple Criteria Decision Aiding (MCDA) method PROMETHEE II was applied as research methodology to four inner areas in Puglia region (southern Italy), using 43 indicators organized into seven thematic dimensions and setting specific parameters. The results enabled to delineate the overall development score of the four inner areas, and the profile of each inner area based on every indicator and dimension. By analysing this profile, key thematic dimensions where to direct collective policy actions were identified, related mainly to contrast with the depopulation by improving specific essential services (e.g., digitalization, health, education) and to foster the development of agriculture, tourism, and cultural heritage. This research can be considered a first step for future broader studies, to guide the process of policy making for the recovery and resilience of European and Italian inner areas with a multi-perspective approach.