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Climate-Adapted Soil Cultivation as an Aspect for Sustainable Farming – Task-Technology-Fit of a Decision Support System
Author(s) -
Welf Guenther-Lübbers,
Ludwig Arens,
Ludwig Theuvsen
Publication year - 2013
Publication title -
international journal on food system dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.34
H-Index - 8
ISSN - 1869-6945
DOI - 10.18461/ijfsd.v4i1.416
Subject(s) - agriculture , task (project management) , sustainable agriculture , agricultural engineering , decision support system , environmental resource management , environmental science , agroforestry , computer science , geography , engineering , systems engineering , artificial intelligence , archaeology
Due to global climate change and its impact on local weather conditions, decision support systems are becoming more important in agriculture. Such systems allow farmers to adapt more effectively to the complex changes affecting their farms. Marginal production sites must apply new tillage strategies adapted to new climatic conditions. Information about proper strategy adjustments is often disseminated through agricultural extension services and journals. A new internet information platform, KlimaBob, which focuses on climate-flexible tillage, was established under the auspices of the Innovation Network of Climate Change Adaptation Brandenburg Berlin. Successful and permanent introduction of such a system requires analysis and verification of its acceptance among individual farmers. This study addresses this need by applying the established task-technology fit approach. A survey was conducted among farmers in the Brandenburg region. The resulting data provided the basis for a structural equation model that explains and evaluates the task-technology fit of the KlimaBob platform. The results indicate that the performance spectrum of the system exerts a strong influence on the task-technology fit when assessed by both the name characteristics of KlimaBob and the individual characteristics of users (for example, time management, technology affinity and risk attitude).

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