Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.1466
DC FieldValueLanguage
dc.contributor.authorSchlüter, Florian-
dc.contributor.authorHenke, Michael-
dc.date.accessioned2017-11-23T08:31:39Z-
dc.date.available2017-11-23T08:31:39Z-
dc.date.issued2017-10-
dc.identifier.citationDigitalization in supply chain management and logisticsde_DE
dc.identifier.isbn9783745043280de_DE
dc.identifier.issn2365-5070de_DE
dc.identifier.urihttp://tubdok.tub.tuhh.de/handle/11420/1469-
dc.description.abstractScreening existing literature on Supply Chain Risk Management (SCRM) shows that only sporadic attention is paid on real data driven SCRM. Most tools and approaches lead to an expert knowledge based SCRM. Due to the arising topic of digitalization in supply chains, leading to Industry 4.0 (I4.0), there is huge potential in building a data driven, smart SCRM. To speed up research in this direction it is worthwhile to define a new research framework giving direction. To create a consistent framework and define smart SCRM in more detail a literature review will take place to select appropriate dimensions like SCRM phases, readiness stages of Digitalization/ I4.0 and SC perspectives describing the degree of SC collaboration. Afterwards the SCRM and I4.0 dimensions will be put into focus describing what impact I4.0 will have on SCRM leading to future requirements. The new framework serves as a basis for future SSCRM research. It helps to categorize research projects through multiple dimensions and to identify potential research gaps. The developed SSCRM requirements framework is a practical tool guiding the requirement specification when designing a company specific SSCRM system.en
dc.language.isoende_DE
dc.publisherepublide_DE
dc.relation.ispartofProceedings of the Hamburg International Conference of Logistics (HICL)de_DE
dc.relation.ispartofseriesProceedings of the Hamburg International Conference of Logistics (HICL);23-
dc.rightsinfo:eu-repo/semantics/openAccessde_DE
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectSupply chain risk managementde_DE
dc.subjectIndustry 4.0de_DE
dc.subjectDigitalizationde_DE
dc.subject.ddc330: Wirtschaftde_DE
dc.titleSmart supply chain risk management - A conceptual frameworkde_DE
dc.typeinProceedingsde_DE
dc.identifier.urnurn:nbn:de:gbv:830-88217634-
dc.identifier.doi10.15480/882.1466-
dc.type.dinicontributionToPeriodical-
dc.subject.ddccode330-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-88217634de_DE
tuhh.oai.showtrue-
dc.identifier.hdl11420/1469-
tuhh.abstract.englishScreening existing literature on Supply Chain Risk Management (SCRM) shows that only sporadic attention is paid on real data driven SCRM. Most tools and approaches lead to an expert knowledge based SCRM. Due to the arising topic of digitalization in supply chains, leading to Industry 4.0 (I4.0), there is huge potential in building a data driven, smart SCRM. To speed up research in this direction it is worthwhile to define a new research framework giving direction. To create a consistent framework and define smart SCRM in more detail a literature review will take place to select appropriate dimensions like SCRM phases, readiness stages of Digitalization/ I4.0 and SC perspectives describing the degree of SC collaboration. Afterwards the SCRM and I4.0 dimensions will be put into focus describing what impact I4.0 will have on SCRM leading to future requirements. The new framework serves as a basis for future SSCRM research. It helps to categorize research projects through multiple dimensions and to identify potential research gaps. The developed SSCRM requirements framework is a practical tool guiding the requirement specification when designing a company specific SSCRM system.de_DE
tuhh.publisher.urlhttps://www.epubli.de/shop/buch/2000000069144-
tuhh.identifier.doi10.15480/882.1466-
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
tuhh.gvk.hasppnfalse-
tuhh.hasurnfalse-
tuhh.series.id15de_DE
tuhh.series.nameProceedings of the Hamburg International Conference of Logistics (HICL)-
openaire.rightsinfo:eu-repo/semantics/openAccessde_DE
dc.type.drivercontributionToPeriodical-
dc.rights.ccversion4.0de_DE
dc.type.casraiConference Paper-
tuhh.container.startpage361de_DE
tuhh.container.endpage380de_DE
dc.relation.conferenceHamburg International Conference of Logistics (HICL) 2017de_DE
tuhh.relation.ispartofseriesnumber23de_DE
datacite.resourceTypeConference Paper-
datacite.resourceTypeGeneralText-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.creatorOrcidSchlüter, Florian-
item.creatorOrcidHenke, Michael-
item.creatorGNDSchlüter, Florian-
item.creatorGNDHenke, Michael-
item.openairetypeinProceedings-
item.grantfulltextopen-
item.languageiso639-1en-
item.mappedtypeinProceedings-
Appears in Collections:Publications with fulltext
Files in This Item:
File Description SizeFormat
schlüter_henke_smart_supply_chain_risk_hicl_2017.pdfSmart Supply Chain Risk Management - A Conceptual Framework103,41 MBAdobe PDFView/Open
Thumbnail
Show simple item record

Page view(s)

619
Last Week
1
Last month
14
checked on Nov 30, 2022

Download(s)

431
checked on Nov 30, 2022

Google ScholarTM

Check

Note about this record

Cite this record

Export

This item is licensed under a Creative Commons License Creative Commons