Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104555
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorDragičević, Nen_US
dc.creatorUllrich, Aen_US
dc.creatorTsui, Een_US
dc.creatorGronau, Nen_US
dc.date.accessioned2024-02-05T08:51:04Z-
dc.date.available2024-02-05T08:51:04Z-
dc.identifier.isbn978-1-5108-5043-9en_US
dc.identifier.urihttp://hdl.handle.net/10397/104555-
dc.description18th European Conference on Knowledge Management (ECKM 2017), Barcelona, Spain, 7 – 8 September 2017en_US
dc.language.isoenen_US
dc.publisherAcademic Conferences and Publishing International Ltd.en_US
dc.rightsPosted with permission of the conference organizer.en_US
dc.rightsThe following publication Dragičević, N., Ullrich, A., Tsui, E., & Gronau, N. (2017). Modelling knowledge dynamics in Industry 4.0: A smart grid scenario. In Proceedings of the 18th European Conference on Knowledge Management : ECKM 2017 : hosted by International University of Catalonia, Barcelona, Spain, 7-8 September 2017. Vol. 1, p. 267-274. Reading : Academic Conferences and Publishing International Limited, 2017 is available at https://lswi.de/assets/downloads/publikationen/109/Ullrich-Modelling-Knowledge-Dynamics-in-Industry-4.0.pdf.en_US
dc.subjectKnowledge dynamicsen_US
dc.subjectBig dataen_US
dc.subjectTacit knowledgeen_US
dc.subjectIndustry 4.0en_US
dc.subjectInternet of Thingsen_US
dc.subjectInternet of Servicesen_US
dc.subjectSmart grid, Knowledge management systemsen_US
dc.titleModelling knowledge dynamics in industry 4.0 : a smart grid scenarioen_US
dc.typeConference Paperen_US
dc.identifier.spage267en_US
dc.identifier.epage274en_US
dc.identifier.volume1en_US
dcterms.abstractNew digital technological advancements are giving rise to the fourth industrial revolution, commonly termed as Industry 4.0, in which the physical and the digital world merge and the boundary between products and services blurs. This transformation is powered by smart, autonomous objects that communicate and interact among themselves or with actors through the connected, multi-loop, and multi-layer network of Internet of Things and Services. These interconnected smart objects create, carry, and share large volumes of data, leading to many potential opportunities for creating value from such data. Albeit particularly Big Data has been a much-discussed term in research concerning the Industry 4.0 paradigm, the role of knowledge, especially tacit knowledge has been neglected thus far. Furthermore, a conceptual model that would provide an aggregated framework to understand knowledge-based activities and flows does not exist yet. In this paper, we attempt to bridge this gap by firstly critically examining and clarifying the terms data, information, and tacit knowledge by drawing upon relevant knowledge management theories, foremost on Polanyi`s, a common (albeit often misinterpreted) reference point for his successors. Then, by reviewing and analyzing related literature, we develop a conceptual model of knowledge dynamics in the Smart Grid ecosystem, which is one of the potential application fields of Industry 4.0. Specifically, we conceptualize main components and their relations, and describe how knowledge-based activities are embedded in the multi-feedback loop and multi-layer network of Internet of Things and Services. We exemplarily outline a use case – a Smart Grid program of CLP Holdings Limited, the largest supplier of electricity in Hong Kong – as an example of how value is co-created through knowledge dynamics within such ecosystems. Furthermore, we discuss the theoretical and practical implications of the emerging knowledge dynamics model for the design of knowledge management systems.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the 18th European Conference on Knowledge Management : ECKM 2017, v. 1, p. 267-274.en_US
dcterms.issued2017-
dc.relation.ispartofbookProceedings of the 18th European Conference on Knowledge Management, Volume 1, ECKM 2017en_US
dc.relation.conferenceEuropean Conference on Knowledge Management [ECKM]en_US
dc.publisher.placeReadingen_US
dc.description.validate202402 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberISE-0870-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9608995-
dc.description.oaCategoryPublisher permissionen_US
Appears in Collections:Conference Paper
Files in This Item:
File Description SizeFormat 
Ullrich_Modelling_Knowledge_Dynamics.pdf378.93 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

83
Citations as of Jun 22, 2025

Downloads

18
Citations as of Jun 22, 2025

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.