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Digital Business

Business Algorithms, Cloud Computing and Data Engineering

  • Book
  • © 2019

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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Table of contents (18 chapters)

  1. Digital Business Transformation

  2. Cloud Computing

  3. IOT & Mobility

Keywords

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.


Editors and Affiliations

  • Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  • School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

  • Business Systems and Analytics Department, La Salle University, Philadelphia, USA

    Madjid Tavana

  • University Politehnica of Bucharest, Bucharest, Romania

    Florin Popentiu-Vlădicescu

  • Shenyang Jianzhu University, Shenyang, China

    Feng Qiao

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