The challenges faced by agricultural innovation systems (A.I.S.) are complex to solve, however, the authors consider that understanding the processes of innovation and development (R&D), sustainability, use of information and communication technologies, training, and outreach, as the focus of discussion in this review, have great potential to close the gaps in the system; as well as exploring strategies, projects and best practices that dynamize the operation of the system. The objective of this article is to review the literature on A.I.S.A. to identify its obstacles, challenges, and solution to close its gaps. The methodology identified the critical factors of system monitoring and defines search suitability to obtain 55 documents. With the results, a qualitative analysis is conducted on the mentioned axes, which is complemented with the text mining software Vantage Point V 15.1 to observe in graphical form the most relevant aspects. Within the conclusions is a constant demand from actors for access to information, and knowledge in the training processes, it is recommended in this regard the additional skills for innovation and participation in concerted practices. As regards the limitations of agricultural innovation processes, it suggests the involvement of cooperatives, technological platforms, and farmers’ organizations as intermediaries relevant to closing gaps. With regard to sustainability, A.I.S. thinking is recommended for an inclusive dialogue among actors and to facilitate sustainability transitions. Finally, to address the socio-technical and ethical challenges of access to technologies and technological transition, it is recommended to design appropriate policies for access to resources and the development of markets that enhance business opportunities and the development of sustainable innovations.

This article examines the diagnosis of the Agricultural Innovation System (SIA) in the department of Tolima, Colombia, as part of a project led by the Colombian Ministry of Agriculture and Rural Development and the Technological University of Pereira (TUP), which also evaluated the National Agricultural Innovation System (NAIS) in regions such as Chocó, Bolívar, and Meta. A methodology was used that involved a survey with 58 questions on a Likert scale with 300 participants, evaluated with congruence and relevance indexes, identifying key variables in the operation of the Agricultural Innovation System (AIS). A survey was applied to map actors in the National Innovation System for Higher Education in Agriculture, as well as the participating actors in the regional agricultural innovation systems of Tolima to identify gaps in extension, innovation, development, sustainability, information technology (TI), education, and training. Among the conclusions, it stands out that the associativity subsystem presents the lowest performance and is close to a score of two on the scale of gaps. An evaluation was carried out among the five subsystems, including extension, TI, environmental aspects, and public policy. The department of Tolima shows low performance in innovation and TI, while their extension performance is less weak. In Chaparral, there is a general lag, with innovation being the worst evaluated subsystem. Rovira obtains high scores in most subsystems, although innovation and TI have lower scores. At the national and regional levels, innovation is low, and communication among the NARS actors is insufficient, which highlights the need to promote good practices, strategies, and projects.

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.

This article examines the diagnosis of the Agricultural Innovation System (SIA) in the department of Tolima, Colombia, as part of a project led by the Colombian Ministry of Agriculture and Rural Development and the Technological University of Pereira (TUP), which also evaluated the National Agricultural Innovation System (NAIS) in regions such as Chocó, Bolívar, and Meta. A methodology was used that involved a survey with 58 questions on a Likert scale to 300 participants, evaluated with congruence and relevance indexes, identifying key variables in the operation of the Agricultural Innovation System (AIS). A survey was also applied to actors of the National Innovation System for Higher Education in Agriculture, A survey was also applied to map the participating actors in the regional agricultural innovation systems of Tolima to identify gaps in extension, innovation, development, sustainability, ICT, education and training. Among the conclusions, it stands out that the associativity subsystem presents the lowest lag and is close to a score of two on the scale of gaps, evaluation carried out among the five subsystems including extension, ICT, environmental aspects, and pub-lic policy. The department of Tolima shows low performance in innovation and ICT, while the extension is less lagging. In Chaparral there is a general lag, with innovation being the worst evaluated subsystem. Rovira obtains high scores in most subsystems, although innovation and ICT have lower scores. At the national and regional levels, innovation is low, and articulation among NARS actors is insufficient, which highlights the need to promote good practices, strategies, and projects.

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 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.