Intelligence Methods and Systems Advancements for Knowledge-Based Business

Intelligence Methods and Systems Advancements for Knowledge-Based Business

John Wang (Montclair State University, USA)
Release Date: July, 2012|Copyright: © 2013 |Pages: 397
ISBN13: 9781466618732|ISBN10: 1466618736|EISBN13: 9781466618749|DOI: 10.4018/978-1-4666-1873-2

Description

Knowledge is power: In today’s era of knowledge-based economies, constantly changing business environments, severe competition, and globalization, gaining the knowledge edge will greatly empower an organization to stay on the cutting edge.

Intelligence Methods and Systems Advancements for Knowledge-Based Business examines state-of-the-art research in decision sciences and business intelligence, and the applications of knowledge-based business with information systems. This comprehensive volume will provide researchers, academics, and business professionals with the research and inspiration they need to strengthen and empower their businesses in today’s world.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Business Intelligence
  • Decision sciences
  • Electronic Commerce
  • Intelligent organizations
  • Knowledge-based analysis
  • Knowledge-based strategy
  • Management Information Systems
  • Risk Management
  • System analysis
  • Virtual Organizations

Reviews and Testimonials

The authors explore knowledge-based decision making and management in clinical practice, cloud computing, financial markets, product development, urban planning, business strategy, workflow, and data mining. Topics include ontologies for drug prescription, modeling operational robustness with Petri nets, query optimization with rule mining, outsourcing among knowledge-based service firms, and negotiating knowledge gaps in dispersed knowledge work. 

– Book News Inc. Portland, OR

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

John Wang is a professor in the Department of Information & Operations Management at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with a special range adjustment in 2006. He has published over 100 refereed papers and seven books. He has also developed several computer software programs based on his research findings.

He is the Editor-in-Chief of International Journal of Applied Management Science, International Journal of Operations Research and Information Systems, and International Journal of Information Systems and Supply Chain Management. He is the Editor of Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.