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Information policies and practices of knowledge management (KM) as related to the development of the Global Aviation Information Network (GAIN): An applied case study and taxonomy development.

机译:与全球航空信息网络(GAIN)的发展有关的知识管理(KM)的信息政策和实践:应用案例研究和分类法开发。

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The Global Aviation Information Network (GAIN) was initiated in response to U.S. Government policies seeking to reduce airline accidents. GAIN was to disseminate airline or aviation safety information in environments where public disclosure impedes the diffusion of information. Government legislation such as the U.S. Freedom of Information Act and other information policies create risks of public disclosure to those reporting information. Therefore, the problem investigated in this research was to identify and evaluate potential solutions to policy issues in public disclosure that prevent the collection and sharing of aviation safety information.; Interactions between GAIN, information policy, and knowledge management (KM) and their impact on the diffusion of information were explored. A generalized taxonomy and ontology of KM was interpreted and presented. This taxonomy represents grounded theory developed from examination of examples and cases of KM contained in the literature. This taxonomy may be used to address challenges related to information or knowledge diffusion in various settings.; A specialized taxonomy and ontology addressing issues controlling the diffusion of airline safety information was interpreted. This taxonomy presented issues related to diffusion, disclosure, and policy that may be used to help design and implement airline safety information sharing systems.; Content analysis and text-mining processes were used to help interpret and develop the taxonomies, ontologies, and recommendations made in this study. This dissertation presents models for using these techniques to develop taxonomy and related ontology from published documentation and recorded interviews. Practitioners may use the methodology of this study to build taxonomy and ontology in other areas of study.; Inductive reasoning was used to develop potential solutions to policy issues in public disclosure that prevent the collection and sharing of aviation safety information within GAIN's community and network of practice. GAIN should evolve into a community of practice serving as an information intermediary to various alliances seeking to share aviation safety information. GAIN should focus on assisting alliances with creating environments of trust, collaboration, and the development of policies and fair processes for addressing public disclosure as a barrier to the diffusion of aviation safety information.
机译:全球航空信息网(GAIN)是为响应美国政府旨在减少航空事故的政策而发起的。 GAIN旨在在公开披露阻碍信息传播的环境中传播航空公司或航空安全信息。美国的《信息自由法》和其他信息政策等政府法规给报告信息的人带来了公开披露的风险。因此,本研究调查的问题是在公开披露中识别和评估针对政策问题的潜在解决方案,以防止收集和共享航空安全信息。探讨了GAIN,信息政策和知识管理(KM)之间的相互作用及其对信息传播的影响。解释和提出了知识管理的广义分类学和本体论。该分类法代表了扎根的理论,这些理论是通过研究文献中包含的KM实例和案例而发展起来的。该分类法可用于解决与各种环境中的信息或知识传播有关的挑战。解释了专门的分类法和本体论,其解决了控制航空安全信息传播的问题。该分类法提出了与传播,披露和政策有关的问题,这些问题可用于帮助设计和实施航空公司安全信息共享系统。内容分析和文本挖掘过程用于帮助解释和发展分类法,本体论和本研究中提出的建议。本文提出了使用这些技术从已发表的文献和记录的访谈中发展分类学和相关本体的模型。从业者可以使用本研究的方法来建立其他研究领域的分类学和本体论。归纳推理被用来为公共披露中的政策问题开发潜在的解决方案,以防止在GAIN的社区和实践网络中收集和共享航空安全信息。 GAIN应该发展成为一个实践社区,成为寻求共享航空安全信息的各个联盟的信息中介。 GAIN应该专注于协助联盟创造信任,合作的环境,并制定政策和公平程序来解决公开披露问题,这是航空安全信息传播的障碍。

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