| dc.date.accessioned | 2023-05-31T13:24:06Z | |
| dc.date.available | 2023-05-31T13:24:06Z | |
| dc.date.issued | 2015 | |
| dc.identifier | doi:10.19211/KUP9783862199273 | |
| dc.identifier.isbn | 978-3-86219-927-3 (e-book) | |
| dc.identifier.uri | urn:nbn:de:0002-39278 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/14776 | |
| dc.description | Zugleich: Dissertation, Universität Kassel, 2014 | ger |
| dc.language.iso | eng | eng |
| dc.publisher | kassel university press | |
| dc.rights | Urheberrechtlich geschützt | |
| dc.rights.uri | https://rightsstatements.org/page/InC/1.0/ | |
| dc.subject.ddc | 330 | |
| dc.title | Dealing with digital information richness in supply chain management | eng |
| dc.type | Buch | |
| dcterms.abstract | Information is one of the key enablers of modern business. The ever expanding availability of digital information, however, brings with it the challenge of handling this information appropriately. While related challenges now appear in our daily lives, this is even more the case along supply chains, where a multitude of actors is involved. This doctoral thesis addresses the topic by linking theoretical rigor with practical relevance. By assessing the current state of research in supply chain management represented in literature reviews, a range of under-represented areas of research as well as potential future research directions in the field of supply chain management are identified.Focusing on one selected exemplary under-represented area of research, the thesis takes the digital business transformation perspective, portraying the value and role of digital information in a business function context.As research on the intersection of Big Data Analytics and supply chain management is still scarce, the conceptual work offers first insights into an emerging topic, both on the internal operations level and on the supply chain level. This is beneficial from a scientific as well as a managerial perspective, as a thorough understanding of the constituents of a digital ecosystem is a key ingredient for the competitiveness and overall productivity of the company and ultimately of the supply chain as a whole. | eng |
| dcterms.accessRights | open access | |
| dcterms.creator | Kache, Florian | |
| dcterms.dateAccepted | 2014-12-22 | |
| dcterms.extent | xvi, 407 Seiten | |
| dc.contributor.corporatename | Kassel, Universität Kassel, Fachbereich Wirtschaftswissenschaften | ger |
| dc.contributor.referee | Seuring, Stefan (Prof. Dr.) | |
| dc.contributor.referee | Gold, Stefan (Dr.) | |
| dc.publisher.place | Kassel | |
| dc.relation.isbn | 978-3-86219-926-6 (print) | |
| dc.subject.swd | Supply Chain Management | ger |
| dc.subject.swd | Big Data | ger |
| dc.title.subtitle | A review and a Big Data Analytics approach | eng |
| dc.type.version | publishedVersion | |
| dcterms.source.series | Supply Chain Management | eng |
| dcterms.source.volume | Band 7 | |
| kup.iskup | true | |
| kup.series | Supply Chain Management | |
| kup.subject | Wirtschaftswissenschaft | |
| kup.typ | Dissertation | |
| kup.institution | FB 07 / Wirtschaftswissenschaften | |
| ubks.nodoigen | true | |
| kup.binding | Softcover | |
| kup.size | DIN A5 | |
