SECI知识模型和通过成熟度级别参与商业智能的机会:捷克共和国选定企业的案例研究

Petra Kašparová, Tereza Michalová
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引用次数: 0

摘要

本研究旨在探讨在系统性知识管理(KM)中引入商业智能(BI)与成熟度水平的可能性。Nonaka的SECI模型说明了知识共享和转换的个体模式,该模型定义了知识交换的四种转换模式:社会化、外部化、组合和内部化。提交的案例研究展示了在三个不同规模的捷克组织中应用知识转换工具时,当前和潜在的商业智能参与。大多数企业同时使用这两种工具(BI和KM),但它们通常不能以合适的方式协调它们的联合实现。目前,案例研究的结果表明,在更大的企业环境中,更优的适应。然而,所涉及的业务,无论其规模大小,大多数都看到了未来组合模式下工具的潜力和巨大机会。
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SECI Knowledge Model and Opportunities of Engaging Business Intelligence by Maturity Level: Case Study at Selected Businesses in the Czech Republic
This study aims to examine the possibilities of engaging business intelligence (BI) with regard to the level of maturity within systemic knowledge management (KM). The individual modes of knowledge sharing and conversion are illustrated in Nonaka’s SECI model that defines four conversion modes of knowledge exchange: socialisation, externalisation, combination and internalisation. The submitted case study presents the current and potential engagement of BI when applying knowledge conversion tools in three Czech organisations of various sizes. Most businesses use both tools (BI and KM) but they are often not able to coordinate their joint implementation in a suitable way. Currently, the results of the case study indicate a more optimal adaptation in the environment of larger businesses. However, the addressed businesses, regardless of their size, most often see the potential and great opportunities of the tools in the combination mode in the future.
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来源期刊
CiteScore
2.00
自引率
11.10%
发文量
0
审稿时长
8 weeks
期刊介绍: The Journal of Intelligence Studies in Business (JISIB) is a double blinded peer reviewed open access journal published by Halmstad University, Sweden. Its mission is to help facilitate and publish original research, conference proceedings and book reviews. The journal includes articles within areas such as Competitive Intelligence, Business Intelligence, Market Intelligence, Scientific and Technical Intelligence, Collective Intelligence and Geo-economics. This means that the journal has a managerial as well as an applied technical side (Information Systems), as these are now well integrated in real life Business Intelligence solutions. By focusing on business applications the journal do not compete directly with journals of Library Sciences or State or Military Intelligence Studies. Topics within the selected study areas should show clear practical implications.
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