Overview
- Includes recent research on Information Systems and Management Science
- Presents the proceedings of the ISMS’22 Conference held in Msida, Malta, at October 6–9, 2022
- Written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 671)
Included in the following conference series:
Conference proceedings info: ISMS 2022.
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About this book
This book (proceedings of ISMS 2022) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.
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Keywords
Table of contents (50 papers)
Other volumes
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Key Digital Trends Shaping the Future of Information and Management Science
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Key Digital Trends Shaping the Future of Information and Management Science
Book Subtitle: Proceedings of 5th International Conference on Information Systems and Management Science (ISMS) 2022
Editors: Lalit Garg, Dilip Singh Sisodia, Nishtha Kesswani, Joseph G. Vella, Imene Brigui, Sanjay Misra, Deepak Singh
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-31153-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-31152-9Published: 16 May 2023
eBook ISBN: 978-3-031-31153-6Published: 15 May 2023
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XIII, 628
Number of Illustrations: 56 b/w illustrations, 278 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Management