Cross-Company Data Sharing Using Distributed Analytics Article Swipe
Soo-Yon Kim
,
Stefanie Berninger
,
Max Kocher
,
Martin Perau
,
Sandra Geisler
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/systems13060418
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/systems13060418
Decision making in modern supply chain management relies heavily on data-driven decision support. Companies show a growing interest in building insights not only on data from within the company’s own boundaries, but also from collaborators and other actors in the market. While the topic of data and information sharing has been the focus of previous works, there has been a lack of studies focusing on practical implementations in the supply chain domain. Our aim is to conduct a technical feasibility study of data sharing in supply chain management. We analyze the requirements for cross-company data sharing in supply chains, and discuss existing technologies that enable such collaboration. We apply a distributed analytics framework that has already been implemented in the healthcare domain to a simulated use case of key performance indicator (KPI) exchange between supply chain actors. We find that the application is able to compute and exchange KPIs from the simulated companies’ datasets without requiring centralization of the databases. Furthermore, we find that the framework supports integration of data quality assessment and privacy preservation mechanisms. The application thus yields promising results with regard to technical feasibility. Factors that may facilitate scalability are discussed as directions for future research.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/systems13060418
- https://www.mdpi.com/2079-8954/13/6/418/pdf?version=1748521822
- OA Status
- gold
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410859073
All OpenAlex metadata
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https://openalex.org/W4410859073Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/systems13060418Digital Object Identifier
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Cross-Company Data Sharing Using Distributed AnalyticsWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2025Year of publication
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2025-05-29Full publication date if available
- Authors
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Soo-Yon Kim, Stefanie Berninger, Max Kocher, Martin Perau, Sandra GeislerList of authors in order
- Landing page
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https://doi.org/10.3390/systems13060418Publisher landing page
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https://www.mdpi.com/2079-8954/13/6/418/pdf?version=1748521822Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-8954/13/6/418/pdf?version=1748521822Direct OA link when available
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Analytics, Computer science, Data analysis, Data science, Data sharing, Business intelligence, Data mining, Medicine, Pathology, Alternative medicineTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3106862400, https://openalex.org/W2969720792, https://openalex.org/W3124121224, https://openalex.org/W3091396419, https://openalex.org/W2128074223, https://openalex.org/W2012118314, https://openalex.org/W2954268688, https://openalex.org/W4297666444, https://openalex.org/W2888958687, https://openalex.org/W1985096606, https://openalex.org/W2907116860, https://openalex.org/W6804797284, https://openalex.org/W2833146670, https://openalex.org/W3144524155, https://openalex.org/W4206081841, https://openalex.org/W2983728903, https://openalex.org/W2608728451, https://openalex.org/W2798021716, https://openalex.org/W2478676239, https://openalex.org/W2283163919, https://openalex.org/W4407075184, https://openalex.org/W4379659778, https://openalex.org/W3198025737, https://openalex.org/W2141919069, https://openalex.org/W2040606075, https://openalex.org/W3175666069, https://openalex.org/W2001218232, https://openalex.org/W3038070776, https://openalex.org/W6656602861, https://openalex.org/W4206701711, https://openalex.org/W3048342450, https://openalex.org/W3134257518, https://openalex.org/W4385408399, https://openalex.org/W4286543797, https://openalex.org/W2302501749, https://openalex.org/W2231027428, https://openalex.org/W4315651595, https://openalex.org/W4311615223, https://openalex.org/W3086809868, https://openalex.org/W4399919202, https://openalex.org/W4387299710, https://openalex.org/W2159024459, https://openalex.org/W2134167315, https://openalex.org/W4400880414, https://openalex.org/W3081828391, https://openalex.org/W2025370847, https://openalex.org/W4200535642 |
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