Managing supply chain analytics - guiding organizations to execute analytics initiatives in logistics and supply chain management
- Alternative title
-
Management von Supply Chain Analytics - Untersuchungen zur Durchführung von Analytics-Initiativen durch Organisationen in Logistik und Supply Chain Management
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Berlin, Technische Universität Berlin, Dissertation, 2019
- Keyword
-
Business logistics
Logistics
Associations, institutions, etc
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Technische Universität Berlin
- (when)
-
2020
- Creator
- Contributor
- DOI
-
10.14279/depositonce-10028
- Handle
-
11303/11137
- URN
-
urn:nbn:de:101:1-2020070801593772311401
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:48 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Herden, Tino T.
- Straube, Frank
- Ludwig, André
- Technische Universität Berlin
Time of origin
- 2020
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Supply chain partnership, supply chain collaboration and supply chain integration as the antecedents of supply chain performance
Towards Data Analytics-Driven Supply Chain Performance Measurement Systems : Development of a conceptual framework and a supportive guideline for the adoption of Data Analytics in Supply Chain Performance Measurement Systems
Choice-based analytics with applications in supply chain contracting and carbon emission reduction initiatives
Supply chain analytics for inventory management
Supply chain analytics implementation : a TOE perspective
Supply chain analytics implementation: A TOE perspective
Supply chain analytics : insights into contracting and pricing
Towards supply chain risk analytics : fundamentals, simulation, optimization
Mapping domain characteristics influencing Analytics initiatives: The example of Supply Chain Analytics
Archetypes of Supply Chain Analytics Initiatives—An Exploratory Study
Strategic supply chain decision-making enabled by big data analytics
Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations
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Towards Data Analytics-Driven Supply Chain Performance Measurement Systems : Development of a conceptual framework and a supportive guideline for the adoption of Data Analytics in Supply Chain Performance Measurement Systems