The purpose of this article is to contribute to the understanding of the effects generated by the technology and knowledge transfer processes in the agro-food sector, within the context of Mexico, a developing country where the economic sector is one of the most lagging in terms of technological development. To achieve this objective, academic-industry relations, key elements, results, and benefits will be examined in 87 identified cases. The analysis begins by describing the context of agriculture and the food industry in Mexico. Then, 14 cases are presented. Results show that companies implement new processes and methods or launch new products to the market, but also implement a new culture of innovation, by establishing laboratories and undertaking research areas of the firm, creating R&D programs which formalize and continue with the academy-industry alliances. The elements that were not found with the expected frequency, according to international scientific publications, was the participation of an available intellectual property.

The objective of this research is to develop a methodology that allows the construction of a standard of knowledge management and technological innovation applicable to the field of the universities in Mexico, the use of which results in better use of their resources and the improvement of their productivity. The analysis is carried out based on the systematic integration of the knowledge management and innovation models published in recent years, as well as the results of the experiences that propose standards for knowledge management and innovation. The results found are that knowledge management favors and facilitates innovation in organizations and allows them to offer better products and services. These findings are with the application of a methodology and an instrument to measure the maturity of the organizational structure. The application of the evaluation instrument was applied in a single organization. However, it can be considered a case study that empirically contributes to the state of the art of knowledge management. Organizations need to become aware of the high value of the knowledge and experience in various fields of the people who participate in them. It has been observed that the participation of experts facilitates the achievement of organizational objectives and favors knowledge management and innovation. This study provided information and experiences of an administrative nature to a higher education institution, which allowed an improvement in strategic decision-making, the promotion of technological developments, and the improvement of internal processes that lead to greater effectiveness of the academic and research processes.

Agricultural public policy analysis in Mexico is hampered by data fragmentation across 32 decentralized state agencies. This study presents the Mexican Agricultural Policy Observatory (MAPO), a digital governance tool developed using R-Shiny to centralize and visualize policy information. Through a systematic audit and functional classification adapted from World Bank frameworks, 429 were analyzed. Results indicate a significant concentration in financing (42%) and a critical gap in commercialization support. MAPO enhances transparency and enables evidence-based policymaking by cross-referencing policy data with production metrics, facilitating the identification of regional priorities and strategic opportunities for integrated agricultural development.

Public administrations increasingly publish programmatic and sectoral data, yet fragmented formats, inconsistent terminology, and uneven documentation limit their joint use. This article presents the design and functional evaluation of the Mexican Agricultural Policy Observatory (MAPO), a digital artifact that integrates agricultural support programs with territorial and production indicators for Mexico’s 32 states. Following a design science research approach, the study constructed a 429-record documentary inventory and retained 407 records with both a recognized state and a validated primary category as the main analytical base. This base was used to generate a 32-by-8 descriptive benchmarking matrix, interactive maps, state profiles, downloadable reports, and a structured-context generative artificial intelligence module. Input acquisition, financing, and technification accounted for 71.01% of the comparable analytical base, while state comparisons revealed marked variation in program counts and thematic diversity. A bounded audit of 50 GenAI outputs showed that prompt constraints did not eliminate causal language, policy prescriptions, or count-to-impact equivalences. MAPO separates deterministic calculations from generative interpretation and requires human review before narrative outputs are used. The study contributes a replicable approach to traceable data integration and design principles for AI-assisted public-sector observatories. MAPO supports exploration, communication, and agenda setting; it does not evaluate program impact, budget adequacy, or beneficiary coverage.

Knowledge Management (KM) is a relatively new phenomenon that appears in the field of Public Sector Organizations (PSO) bringing new paradigms of organizational management, challenges, risks and opportunities for its implementation, development and evaluation. KM can be seen as a systematic and deliberate effort to coordinate people, technology, organizational structures and its environment through knowledge reuse and innovation. This management approach has been established in parallel with the development and use of information and communications technologies (ICT). Nowadays more PSO are embodying KM practices in their core processes for support them, and as an advanced management strategy to create a new culture based on technology and resources efficiency. In this paper, we observed that KM can support organizational goals in PSO. The aim of this paper is to understand KM factors and its associated components, and propose KM metrics for measure KM programs in PSO. Through a critical literature review we analysed diverse studies related with KM performance indicators in PSO, then based on previous works we summarized the more convenient this purpose. We found that, in academic literature, studies about KM measurement in PSO are uncommon and emerging. As well, in the last section of this paper, we present a proposal of KM metrics for PSO, and some recommendations and practical implications for KM metrics development in PSO. This academic endeavour seeks to contribute to theoretical debate about KM measure development for KM initiatives in PSO.