This article presents the results of a study focused on collaboratively developing an Innovation Management Model (MGI) for the leather agro-industrial chain in Colombia. This study integrates the participation of interested parties, the prioritization of variables, the literature review, and the validation of the model, emphasizing sustainability considerations throughout the process. The methodology involved a literature review, using Scopus and Google Scholar, focusing on innovation management models, open innovation, and sustainability of the leather sector. In addition, three surveys were conducted to prioritize the established variables, using Likert scale questions, to assess relevance and congruence. Key findings included 26 critical variables covering aspects such as agricultural and technological innovation in platforms and projects, capacity development, R&D activities, supply chain dynamics, innovation management processes, knowledge and technology integration, business model adaptation for sustainable development, and environmental impact assessment. The prioritized innovation model aims to guide stakeholders to define open innovation strategies, sustainable and regenerative innovation generation, and improvement of strategic and technological capabilities.

This paper proposes a sustainable innovation management model (hereinafter MGI) aimed at enhancing sustainability and leveraging open innovation opportunities within the Citrus agro-industrial chain in the Quindío Department, Colombia. The methodology combines surveys, consensus percentages, relevance and congruence indices, and a review of the literature from the last ten years, particularly in the Google Scholar and Scopus databases. A total of 97 documents directly related to innovation management in the citrus sector were reviewed, along with 58 indirect references. Through three questionnaires, 120 variables were identified, categorized into input (53), transformation (36), and output (31) stages. The findings, supported by sector analysis and foresight studies conducted for six regional agro-industrial chains, led to the development of three potential MGI models, one of which was selected for further application. The study highlights several challenges within the citrus value chain, including weak leadership, limited market competitiveness, outdated organizational structures, slow adoption of advanced technologies, and inadequate investment. The proposed MGI, with a focus on sustainable innovation, offers a generic interactive model that presents a dynamic and adaptable solution to drive competitiveness and value creation in the citrus sector. The chain studied requires not only the participation of different interest groups, but also the application of artificial intelligence to close the gaps and allow for sustainable innovation to be generated of sustainable innovation.

The objective of this article is to identify and prioritize technologies, innovations and new businesses related to the dairy agro-industrial chain that are expected to emerge by 2035. To do so, the two-round Delphi method was used and questionnaires were applied to 27 national and international experts. A technology tree was built with Python codes and libraries, consisting of 174 topics. Additionally, 39 variables were generated for scenarios in the Good Livestock Practices BPG; Research, Development and Innovation R&D&I; Sustainable Livestock and Agroindustry groups, as well as four hypotheses and a bet scenario, with the future objectives of sustainable specialization of forage production and mass production and standardization in collection centers. This can be achieved through projects on technologies and innovations prioritized in the Delphi method, including ultrasound, pulsed combustion drying, dairy-derived medicinal products, bioethanol produced from whey, artificial intelligence and selection assisted by molecular markers, electromembrane filtration technologies, whey protein concentrates, life cycle assessment, blockchain, neural networks and smart assays, among others. The opportunity that actors in the Science, Technology and Innovation system have in the chain for the development of programs, plans, public policies and open innovation challenges in the prioritized technologies is highlighted.

This study proposes a sustainable Innovation Management Model (MGI) for the plantain agroindustrial chain, applied to the Quindío region of Colombia. A mixed-methods approach was employed, incorporating various techniques, including a systematic literature review using the Scopus database, which analyzed 95 documents through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The identification and prioritization of relevant variables, along with the validation of the proposed model, were also conducted through the use of three questionnaires, supplemented by relevance and congruence indices. The analysis identified 53 variables for the entry stage, 36 for the transformation stage, and 31 for the exit stage. The findings revealed significant gaps within the agroindustrial chain, particularly in areas such as leadership, strategic management, and resilience among key stakeholders. The MGI, as prioritized by stakeholders, provides a framework that integrates variables and information flows, facilitating the development of new open innovation challenges. These challenges engage not only seekers—entities that require innovation—but also solvers—organizations that offer solutions. The implementation of this model will require supportive public policies, projects, and web platforms, such as Innocentive/Wazoku, Ninesigma, Ruta N, Yet2.com, Itonics, and Ennomotive, which, with the aid of artificial intelligence, can connect innovation supply and demand through open challenges.