Knowledge networks to improve the technological capability in a solar energy enterprise cluster
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Issue Date
2015-08Keywords
Enterprise resource planningLoad forecasting
Photovoltaic systems
Production
Solar energy
Solar heating
Technological innovation
Water heating
Metadata
Show full item recordPublisher
IEEEDOI
10.1109/PICMET.2015.7273150Abstract
The sector of renewable energies is studied for the possibilities that offers to take care of the environmental and energy save. In the production areas, it is need to understand some topics like the technological capability and absorption capacity, to identify the patterns of learning, to improve the knowledge generation, innovation and competitiveness. This is applied specifically in the cases of small enterprises that belong to an incipient cluster, in a region with availability of solar energy resources, like Arequipa in the south-west of Peru. In this context it's developed a study to identify the technological capability and learning aspects, for a solar enterprise cluster acting in Arequipa. The methodology is the case study, through applying a questionnaire to seven enterprises. The questionnaire was formulated according the theoretical backgrounds regarding to this theme. The results of the research are useful to planning the local development through the application of tools as the technological surveillance, technological forecasting, and also for the local technology improvement through the incentive of knowledge networks.Type
info:eurepo/semantics/conferenceObjectRights
info:eu-repo/semantics/embargoedAccessLanguage
engDescription
2015 Portland International Conference on Management of Engineering and Technology (PICMET)El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
ae974a485f413a2113503eed53cd6c53
10.1109/PICMET.2015.7273150
Scopus Count
Collections