Overview
- Includes recent research on Information Systems and Management Science
- Presents the proceedings of the ISMS’20 Conference held in Msida, Malta, at December 15-17, 2020
- Written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 303)
Included in the following conference series:
Conference proceedings info: ISMS 2020.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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. This book of Information Systems and Management Science (proceedings of ISMS 2020) 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.
Similar content being viewed by others
Keywords
Table of contents (21 papers)
Other volumes
-
Information Systems and Management Science
Editors and Affiliations
Bibliographic Information
Book Title: Information Systems and Management Science
Book Subtitle: Conference Proceedings of 3rd International Conference on Information Systems and Management Science (ISMS) 2020
Editors: Lalit Garg, Nishtha Kesswani, Joseph G. Vella, Peter A. Xuereb, Man Fung Lo, Rowell Diaz, Sanjay Misra, Vipul Gupta, … Princy Randhawa
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-86223-7
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 2022
Softcover ISBN: 978-3-030-86222-0Published: 05 September 2021
eBook ISBN: 978-3-030-86223-7Published: 04 September 2021
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: X, 252
Number of Illustrations: 33 b/w illustrations, 79 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Management