La innovación está entre los principales atributos de supervivencia y mejora el desempeño de los negocios. Las empresas startups, conscientes de esta realidad, han introducido innovaciones disruptivas e incrementales en el mercado, para alcanzar mayor número de clientes y obtener éxito empresarial. Así, este artículo, presentado en forma de ensayo teórico, tiene como objetivo proponer un modelo conceptual que integre selección de tipologías y estrategias de innovación dirigidas a aumentar la práctica de innovación en startups, especialmente en el sector de tecnología de la información.
Agricultural extension, as an informal educational system, is one of agricultural development tools that lean on human capitals. Inefficiency of public bureaucracy on the one hand, and managerial problems on the other hand, as well as neglecting real needs of beneficiaries in planning, have determined responsible to transfer administrative tasks to the private sector and reduce government's tenure. This survey was conducted in Kerman as the first ranked province of pistachio production in Iran to investigate attitudes about extension private services among pistachio farmers.
In this paper, was analyzed farmers' preferences for high-input maize production supported by site-specific nutrient management recommendations provided by an ICT-based extension tool that is being developed for extension services in the maize belt of Nigeria. Was used a choice experiment to provide ex-ante insights on the adoption potentials of site-specific extension services from the perspective of farmers. We control for attribute non-attendance and account for class as well as scale heterogeneity in preferences using different models, and find robust results.
This study aimed to identify the perceptions of farmer community towards the electronic media and relationship between different demographic characteristics of respondents with the use of electronic communication of TV and radio, in Khyber Pakhtunkhwa (KPK), a province of Pakistan. Random sampling technique was used for selecting 183 respondents. Data were analyzed with descriptive statistics and Chi-square
Rapid climatic and socio-economic changes challenge current agricultural R&D capacity. The necessary quantum leap in knowledge generation should build on the innovation capacity of farmers themselves. A novel citizen science methodology, triadic comparisons of technologies or tricot, was implemented in pilot studies in India, East Africa, and Central America. The methodology involves distributing a pool of agricultural technologies in different combinations of three to individual farmers who observe these technologies under farm conditions and compare their performance.
Innovative approaches are needed to shift towards more sustainable, equitable and healthy agri-food systems. Building on the increasing recognition of the relevance of traditional agroecological knowledge (TAeK) in sustainable food systems, this paper aims to describe innovative agri-food initiatives and explore how the use and valorization of TAeK may transform conventional agri-food systems. It employs a case-study approach in Spain, where we conducted semi-structured interviews with 12 representatives of alternative agri-food initiatives.
Este folleto describe brevemente el proyecto "Desarrollo de Capacidades para los Sistemas de Innovación Agrícola en El Salvador", implementado por la FAO en conjunto con el Centro Nacional de Tecnología Agropecuaria y Forestal “Enrique Álvarez Córdova” (CENTA), del Ministerio de Agricultura y Ganadería (
In this paper, is first described the design and development process of a modular ICT application system called GeoFarmer. Geofarmer was designed to provide a means by which farmers can communicate their experiences, both positive and negative, with each other and with experts and consequently better manage their crops and farms. We designed GeoFarmer in a collaborative, incremental and iterative process in which user needs and preferences were paramount.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.