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A Knowledge Management System (KMS) using a storytelling-based approach to collect tacit knowledge

机译:使用基于讲故事的方法来收集默契知识的知识管理系统(KMS)

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Since the 1990s, Knowledge Management Systems (KMS) have been largely unsuccessful in the collection of tacit knowledge. This includes direct input by the holder of the tacit knowledge into a KMS or through an intermediary such as the collection of tacit knowledge through interviews and videos then posting the data to a KMS. The reasons span the organizational, technological, and individual. In this paper, we concentrate on the tacit knowledge reasons that spans the technological and individual. We believe that tacit knowledge can be effectively and consistently collected from the contributors themselves and placed into a KMS by the contributors using a storytelling-based approach. This study extends past research that collected stories using interviews and videos. The methodology utilizes a storytelling-based KMS, developed in a relational database management system (RDBMS), for Domain Experts (DEs) to contribute their tacit knowledge. It is hypothesized that having contributors use stories to enter their tacit knowledge themselves into a KMS will overcome their reluctance thus making the overall process successful. Once tacit knowledge is entered into a KMS, it becomes explicit knowledge available to anyone who requires it.
机译:自20世纪90年代以来,知识管理系统(KMS)在默契知识的收集方面已经在很大程度上不成功。这包括通过默认知识的持有者直接输入到KMS或通过中间人通过访谈和视频作为默认知识的集合,然后将数据发布到KMS。原因跨越组织,技术和个人。在本文中,我们专注于跨越技术和个人的默契知识原因。我们认为,可以从贡献者自己有效和一致地收集默认知识,并使用基于讲故事的方法的贡献者将其置于KMS中。本研究扩展了过去研究使用访谈和视频收集故事。该方法利用基于讲故事的KMS,在关系数据库管理系统(RDBMS)中开发,用于域专家(DES),以促进其默认知识。假设有贡献者使用故事将其默契知识入学进入KMS将克服他们的不情愿,从而使整体过程成功。一旦将默认知识输入到KMS中,它就会成为需要它的任何人的明确知识。

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