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Predictive procurement insights : B2B business network contribution to predictiveiInsights in the procurement process following a design science research approach
Gruenen, Jan
;
Bode, Christoph
;
Höhle, Hartmut
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DOI:
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https://doi.org/10.1007/978-3-319-59144-5_16
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URL:
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https://www.researchgate.net/publication/318013468...
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Additional URL:
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https://link.springer.com/chapter/10.1007/978-3-31...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2017
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Book title:
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Designing the Digital Transformation : 12th International Conference, DESRIST 2017, Karlsruhe, Germany, May 30 - June 1, 2017, Proceedings
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The title of a journal, publication series:
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Lecture Notes in Computer Science
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Volume:
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10243
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Page range:
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267-281
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Conference title:
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12th International Conference, DESRIST 2017
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Location of the conference venue:
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Karlsruhe, Germany
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Date of the conference:
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May 30-June 1, 2017
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Publisher:
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Mädche, Alexander
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Place of publication:
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Cham
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Publishing house:
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Springer
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ISBN:
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978-3-319-59143-8 , 978-3-319-59144-5
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ISSN:
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0302-9743
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Publication language:
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English
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Institution:
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Business School > Stiftungslehrstuhl für Procurement (Bode 2014-)
Business School > Enterprise Systems (Höhle 2017-)
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Subject:
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004 Computer science, internet
330 Economics
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Abstract:
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Significant recent developments in the domain of big data analytics provide the basis for leveraging predictive procurement insights in the procurement process. Following the path of other business domains, B2B business networks now have the potential to fill the gap of providing sufficient data for predictive technologies to be applied to the procurement domain, opening the door for significant efficiency gains. Based on the conceptual framework of the procurement process the methodology of design science research is applied to analyze prototype dashboards that leverage available data from B2B business networks.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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