数字供应链中的知识风险格拉茨大学经济与社会科学学院论文项目提案

J. Zeiringer
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引用次数: 0

摘要

数字化转型改变了组织在供应链(SC)中交换数据的方式。数据传统上是共享的,生产过程中传感器捕获的详细数据集丰富了数据。先进的数据分析方法可以从这些数据集中提取知识,从而增加竞争性知识无意中溢出的风险。从知识管理的角度来看,很少有人关注以数据为中心的协作所带来的知识风险。因此,本博士项目旨在通过使用设计科学研究的整体方法来研究这一点。该项目侧重于数字供应链,因为以数据为中心的协作在其中发挥着核心作用。为了促进知识研究,正在寻求一个框架。详细阐述的框架应该允许对知识风险进行评估,并支持选择合适的措施,它应该有助于如何支持数字供应链中的知识风险管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Risks in Digital Supply Chains Proposal of a Dissertation Project at the School of Business, Economics and Social Sciences University of Graz
The digital transformation changes the way how organizations exchange data in supply chains (SC). Data traditionally shared, is enriched by detailed data sets captured by sensors in the production itself. Advanced data analytic approaches make it possible to extract knowledge from such data sets and thus increase the risk that competitive knowledge unintentionally spills over. From a knowledge management perspective, little attention is paid to such knowledge risks arising from data-centric collaborations. Hence, this proposed PhD project aims at investigating this, by using the overall method of Design Science Research. The project focuses on digital SC, as data-centric collaborations play a central role within them. To contribute to knowledge research, a framework is being sought. The elaborated framework should allow an assessment of knowledge risks and support the selection of suitable measures and it should contribute on how to support the management of knowledge risks in digital SC.
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