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Managing indigenous knowledge for sustainable agricultural development in developing countries: Knowledge management approaches in the social context

机译：管理土著知识以促进发展中国家的可持续农业发展：社会背景下的知识管理方法

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This paper is based on a PhD study (Lwoga, 2009) that sought to assess the application of knowledge management (KM) approaches in managing indigenous knowledge (IK) for sustainable agricultural practices in developing countries, with a specific focus on Tanzania. This study used a mixed-research method which was conducted in six districts of Tanzania. Non-participant observation, semi-structured interviews, and focus groups were used to collect primary data from small-scale farmers in the selected districts. A total of 181 farmers participated in the semi-structured interviews, where the respondents ranged between 27 and 37 per district. Twelve focus group discussions were conducted in the selected districts. The study revealed that IK was acquired and shared within a small, weak and spontaneous network, and thus knowledge loss was prevalent in the surveyed communities. There were distinct variations in the acquisition of agricultural IK both in different locations and between genders. Information and communication technologies (ICT), culture, trust, and status influenced the sharing and distribution of IK in the surveyed communities. The research findings showed that KM models can be used to manage and integrate IK with other knowledge systems, taking the differences into account (for example, gender, location, culture, infrastructure). The paper concludes with recommendations for the application of KM approaches for the management of IK and its integration with other knowledge systems for agricultural development in developing countries, including Tanzania.
机译：本文基于一项博士研究（Lwoga，2009年），该研究旨在评估知识管理（KM）方法在发展中国家为可持续农业实践管理本地知识（IK）中的应用。这项研究使用了在坦桑尼亚六个地区进行的混合研究方法。使用非参与者观察，半结构化访谈和焦点小组从选定地区的小规模农民那里收集主要数据。共有181位农民参加了半结构化访谈，每个地区的受访者介于27至37之间。在选定的地区进行了十二次焦点小组讨论。该研究表明，IK是在一个小的，虚弱且自发的网络中获取和共享的，因此，知识损失在被调查的社区中很普​​遍。在不同地点和性别之间，农业IK的获取都有明显的差异。信息和通信技术（ICT），文化，信任和地位影响了被调查社区中IK的共享和分布。研究结果表明，考虑到差异（例如，性别，位置，文化，基础设施），KM模型可用于管理IK和将其与其他知识系统集成。本文最后提出了将KM方法应用于IK管理及其与包括坦桑尼亚在内的发展中国家农业发展的其他知识体系相集成的建议。

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