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



DOI: https://doi.org/10.1007/978-3-319-59144-5_16
URL: https://www.researchgate.net/publication/318013468...
Additional URL: https://link.springer.com/chapter/10.1007/978-3-31...
Document Type: Conference or workshop publication
Year of publication: 2017
Book title: Designing the Digital Transformation : 12th International Conference, DESRIST 2017, Karlsruhe, Germany, May 30 - June 1, 2017, Proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 10243
Page range: 267-281
Conference title: 12th International Conference, DESRIST 2017
Location of the conference venue: Karlsruhe, Germany
Date of the conference: May 30-June 1, 2017
Publisher: Maedche, Alexander
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-319-59143-8 , 978-3-319-59144-5
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: Business School > Stiftungslehrstuhl für Procurement (Bode 2014-)
Business School > Enterprise Systems (Höhle 2017-)
Subject: 004 Computer science, internet
330 Economics
Abstract: 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.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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