Open access peer-reviewed Edited Volume

E-Business

Higher Education and Intelligence Applications

Edited by Robert M.X. Wu

Central Queensland University

Co-editor:

Marinela Mircea

Bucharest University of Economic Studies

This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more.

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IntechOpen
E-BusinessHigher Education and Intelligence ApplicationsEdited by Robert M.X. Wu

Published: May 19th 2021

DOI: 10.5772/intechopen.87341

ISBN: 978-1-78984-685-0

Print ISBN: 978-1-78984-684-3

eBook (PDF) ISBN: 978-1-83962-463-6

Copyright year: 2021

Books open for chapter submissions

2308 Total Chapter Downloads

3 Crossref Citations

4 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Internationalization of China’s E-Commerce Higher Education: A Review between 2001 and 2019

By Wenying Huo, Mingxuan Wu and Jeffrey Soar

211

Open access peer-reviewed

2. An Overview of Digital Entrepreneurship in Central and Eastern European Countries

By Mladen Turuk

107

Open access peer-reviewed

3. The Paradox of Indonesian Digital Economy Development

By Vience Mutiara Rumata and Ashwin Sasongko Sastrosubroto

469

Open access peer-reviewed

4. Natural Language Processing Applications in Business

By Mohammed Bahja

467

Open access peer-reviewed

5. Using Multi-Agent System to Govern the IT Needs of Stakeholders

By Chakir Aziza and Chergui Meriyem

148

Open access peer-reviewed

6. Recent Advancements in Commercial Integer Optimization Solvers for Business Intelligence Applications

By Cheng Seong Khor

35

Open access peer-reviewed

7. Recent Advances in Stock Market Prediction Using Text Mining: A Survey

By Faten Subhi Alzazah and Xiaochun Cheng

839

Open access peer-reviewed

8. Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value

By Ahmed A.A. Gad-Elrab

38

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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