Estudio de prospectiva sectoriales como insumo para la formación e investigación en ingienería en procesos agroindustriales

Abstract

The present study shows the results of three prospective studies in Cocoa, Avocado and blackberry by 2032, as part of the activities and results of the project "Regional Alliance for the Strengthening of the Agroindustrial Sector in Risaralda-Colombia" which will become a commitment to the development of new and / or improved training programs in the agribusiness sector of Risaralda by 2032, being input for training programs, curricula and research projects for interest groups related to Agroindustrial and Related Process Engineering. The methodology used included several techniques such as PESTAL analysis, structural analysis, transposed matrices, simple probabilities, conditioned probabilities, bayes theorem for the co-development of scenarios, fashion calculation and consensus percentages, techniques used within the scenario methodology and the method Delphi two rounds. Among the most important results is the obtaining of 38 key variables or drivers in the three sectors, the identification of 22 actors between each sector with a greater force relationship, the generation of 6 future objectives, 14 hypotheses and 80 scenarios for each chain agroindustrial, as well as the prioritization of 94 themes / technologies and innovations among which are highlighted in Cocoa: 42 Avocado: 26 Mora: 26, this study is expected to become an input for the programs of Agroindustrial Process Engineering and others programs focused on food and agrifood processes can establish and validate research priorities, new R & D & I projects, training and extension programs and provide feedback on their areas and courses.