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Supply chain digitisation trends: An integration of knowledge management

机译:供应链数字化趋势:知识管理的整合

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The rapid digitisation of industry, or industry 4.0, is trending in supply chain management. While the amount of data made available through digitisation has enabled supply chain benefits, there still exist challenges regarding the rapid digitisation of the field. Therein lies opportunities for scholars to leverage the growing amount of data through knowledge management to cultivate valuable information for organisations. The purpose of this paper is to understand future inquiries for scholars to broaden their perspectives and leveraging knowledge management to enhance the supply chain digitisation research paradigm. This is done through both a large-scale literature review as well as a textual analysis and forecasting on industry- and field-applications, technologies and topics in digitisation. Utilizing textual data as well as google trends data from 2010 to 2018, comparisons are conducted on two measurements (prevalence and growth) to determine significant differences between the scholarly publications and practitioner (news and video) media to compare scholarly vs. practitioner activity in the aforementioned areas of supply chain digitisation. Applying the field of knowledge management to supply chain management through a knowledge management theoretical framework, this paper provides future research inquiries pertaining to how scholars can utilize the largely ignored areas of supply chain digitisation as well as the growing areas to explain how the human dimension of supply chain management can be further explored for the purposes of optimizing supply chain digital performance.
机译:工业或工业4.0的快速数字化正在供应链管理中发展。尽管通过数字化获得的数据量使供应链受益,但在现场快速数字化方面仍然存在挑战。这为学者提供了通过知识管理来利用不断增长的数据来为组织培养有价值的信息的机会。本文的目的是了解学者们将来的询问,以扩大他们的视野,并利用知识管理来增强供应链数字化研究范式。通过大型文献回顾以及对行业和现场应用,技术和数字化主题的文本分析和预测,可以做到这一点。利用2010年至2018年的文字数据以及Google趋势数据,对两个指标(流行率和增长)进行比较,以确定学术出版物和从业人员(新闻和视频)媒体之间的显着差异,从而比较学术与从业人员在供应链数字化的上述领域。通过知识管理理论框架将知识管理领域应用到供应链管理中,本文提供了有关学者如何利用被忽视的供应链数字化领域以及成长中的领域来解释人类的维度的未来研究查询。为了优化供应链数字性能,可以进一步探索供应链管理。

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