El objetivo general que orientó el trabajo fue analizar a la luz de las teorías las ciencias de la administración la situación empresarial de La Integradora de la Frontera Sur, S.A. de C.V., para generar propuestas concretas de acción que les permitan mejorar su gestión empresarial. Los objetivos particulares serían analizar formas para proponer estrategias concretas en el interés de contribuir a su mejora e incidir con actividades de capacitación.
La “innovación inclusiva”, es decir, la incorporación de distintos actores, incluyendo grandes y pequeños productores, en procesos de innovación y aprendizaje, representa uno de los grandes retos del sector palmero, y más allá, de la agricultura en Colombia. Este estudio presenta un marco teórico y práctico basado en tres elementos clave que refuerzan este debate. El primero se reiere a la importancia de la asociatividad y la conectividad entre pequeños productores y estos con organizaciones centrales en redes sociales dirigidas a lograr una acción coordinada.
Este estudio pretende analizar las relaciones entre educación cooperativista y extensión rural en la gestión de cooperativas agrarias. En la metodología se utilizó la técnica del cuestionario que fue enviado a las cooperativas agrarias del estado de Minas Gerais. En los resultados, se muestra que el desarrollo de esta modalidad de educación y el trabajo llevado a cabo por las organizaciones, especialmente la Empresa de Asistencia Técnica y Extensión Rural del Estado de Minas Gerais (Emater-MG), se ha manifestado como auténticas organizaciones de naturaleza consultiva.
Dairy extension specialists must adapt to meet the challenges of a dairy industry that is increasingly adopting technology to assist with daily management activities as well as to make long-term decisions. Specialists typically work with youth programs to provide educational opportunities for young people that will attract new people into the dairy industry.
This study aims to describe and characterize the state of understanding about RSBs, and to fill knowledge gaps about their role and potential impact. The article will explore the historic and possible future trajectories of the RSBs at the country- and global-levels, by responding to three closely-related research questions: 1. What are the governance structures of the roundtables for sustainable beef? 2. What actions have been taken by, or are planned or likely to be taken by, the roundtables for sustainable beef, that are intended to enhance the sustainability of beef supply chains? 3.
La investigación participativa ecológica forestal y agroforestal (IPEFA) se concibe y se practica de muy distintas maneras, definidas por voluntad de quienes investigan y/o por las circunstancias que enfrentan.
The purpose of this study is to develop a robust, rigorous and replicable methodology that is flexible to data limitations and spatially prioritizes the vulnerability of agriculture and rural livelihoods to climate change. The methodology was applied in Vietnam, Uganda and Nicaragua, three contrasting developing countries that are particularly threatened by climate change. We conceptualize vulnerability to climate change following the widely adopted combination of sensitivity, exposure and adaptive capacity.
The purpose of this study is to explore the factors that drive producers to market their products through Community Support Agriculture (CSA) by using a county-level data set from the US.
Collaborative approaches are being promoted as inclusive forums for bringing state and non-state interests together to solve complex environmental problems. Networks have been recognized through previous research as important ways to involve stakeholders in such forums with members participating in knowledge creation and sharing as part of deliberative processes. Less well understood is the effectiveness of network creation and promotion by external actors, especially in relation to knowledge creation and sharing.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.