Open AccessKnowledge Risks in Digital Supply Chains Proposal of a Dissertation Project at the School of Business, Economics and Social Sciences University of Graz
Author(s) -
Johannes P. Zeiringer
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18690/978-961-286-485-9.54
Subject(s) - knowledge management , perspective (graphical) , digital transformation , computer science , data management , data science , supply chain , knowledge value chain , competitive advantage , digital data , business , organizational learning , world wide web , data mining , marketing , telecommunications , transmission (telecommunications) , artificial intelligence
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.