Overview
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 320)
Included in the following conference series:
Conference proceedings info: BIS 2018.
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About this book
This book constitutes the proceedings of the 21st International Conference on Business Information Systems, BIS 2018, held in Berlin, Germany, in July 2018. The BIS conference follows popular research trends, both in the academic and the business domain. Thus the theme of BIS 2018 was "Digital Transformation - An Imperative in Today's Business Markets".
The 30 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: big and smart data and artificial intelligence; business and enterprise modeling; ICT project management; process management; smart infrastructures; social media and Web-based business information systems; applications, evaluations, and experiences.
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Keywords
Table of contents (30 papers)
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Big and Smart Data and Artificial Intelligence
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Business and Enterprise Modelling
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Process Management
Other volumes
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Business Information Systems
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Business Information Systems Workshops
Editors and Affiliations
Bibliographic Information
Book Title: Business Information Systems
Book Subtitle: 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings
Editors: Witold Abramowicz, Adrian Paschke
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-319-93931-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-93930-8Published: 16 June 2018
eBook ISBN: 978-3-319-93931-5Published: 11 July 2018
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XIII, 426
Number of Illustrations: 108 b/w illustrations
Topics: Information Systems Applications (incl. Internet), Business Information Systems, Data Mining and Knowledge Discovery, Big Data/Analytics, Enterprise Architecture, Software Engineering