Overview
- Presents recent research on business algorithms, cloud computing, and data engineering
- Brings together the work of three distinct disciplines: cloud computing, digital mess, and business algorithms on a single platform, i.e. Digital Business
- Written by experts in the field
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 21)
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About this book
This edited book presents contributions from three different areas: cloud computing, digital mess and business algorithms on a single platform, i.e. Digital Business. The book is divided into four sections: (i) Digital Business Transformation, (ii) Cloud Computing, (iii) IOT & Mobility, and (iv) Information Management & Social Media, which are part of a holistic approach to information management and connecting the value chains of businesses to derive more throughput in the entire business ecosystem. Digital business is a niche area of computer science and business management, and its dimension is vast – it includes technologies such as cloud computing, Internet of Things, mobile platforms, big data applied in areas like ERP, data mining and business intelligence. Digital technologies have also challenged existing business models and will continue to do so. One of the key driving forces is the capacity of innovation and the commercialization of information and communication technologies.
Providing insights into the new paradigm of digital business, the book is a valuable resource for research scholars, academics and professionals.
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Keywords
Table of contents (18 chapters)
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Digital Business Transformation
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IOT & Mobility
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Information Management & Social Media
Editors and Affiliations
Bibliographic Information
Book Title: Digital Business
Book Subtitle: Business Algorithms, Cloud Computing and Data Engineering
Editors: Srikanta Patnaik, Xin-She Yang, Madjid Tavana, Florin Popentiu-Vlădicescu, Feng Qiao
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-319-93940-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Softcover ISBN: 978-3-319-93939-1Published: 27 July 2018
eBook ISBN: 978-3-319-93940-7Published: 26 July 2018
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XV, 480
Number of Illustrations: 34 b/w illustrations, 77 illustrations in colour