Organizational Efficiency through Intelligent Information Technologies

Organizational Efficiency through Intelligent Information Technologies

Vijayan Sugumaran
Release Date: September, 2012|Copyright: © 2013 |Pages: 388
DOI: 10.4018/978-1-4666-2047-6
ISBN13: 9781466620476|ISBN10: 1466620471|EISBN13: 9781466620483
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Description & Coverage
Description:

Intelligent information technologies are continuing to be utilized by a number of organizations to improve productivity. While a large amount of progress has been made, a number of issues still remain unexplored regarding the design and implementation of multi-agent systems for support of organization efficiency.

Organizational Efficiency through Intelligent Information Technologies explores various aspects of design and development of intelligent technologies by bringing together the latest in research in the fields of information systems, intelligent agents, collaborative works, and much more. This reference source also highlights insights on agent-based problem solving as well as economic issues and organizational impact.

Coverage:

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

  • Agent-based simulation and application integration
  • Cooperative and collaborative systems
  • Distributed intelligent systems and technologies
  • Intelligent agent and multi-agent systems in various domains
  • Intelligent decision support systems
  • Intelligent information retrieval and business intelligence
  • Intelligent information systems development using design science principles
  • Intelligent web mining and knowledge discovery systems
  • Manufacturing information systems
  • Privacy, security, and trust issues
  • Reasoning, Learning and Adaptive Systems
  • Semantic Web, web services, and ontologies
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Editor/Author Biographies
Vijayan Sugumaran is Distinguished Professor of Management Information Systems and Chair of the Decision and Information Sciences department at Oakland University. He is also Co-Director of the Center for Data Science and Big Data Analytics at Oakland University. He received his Ph.D. in Information Technology from George Mason University, Fairfax, Virginia, USA. Over the years he has taught courses at the Graduate and Undergraduate level in Object-Oriented Systems Development, C++, Java, Javascript, Database Management Systems and Data Warehouses, Advanced Databases and Big Data Management, Deep Learning and Text Analytics, Systems Analysis and Design, Electronic Commerce, and Introduction to MIS. His research interests are in the areas of Big Data Analytics, Business Intelligence, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems, Component Based Software Development, Knowledge-Based Systems, and Data & Information Modeling. He has published over 275 peer-reviewed articles in Journals, Conferences, and Books. He has edited twenty books. His recent publications have appeared in Information Systems Research, ACM Transactions on Database Systems, IEEE Transactions on Engineering Management, IEEE Transactions on Big Data, IEEE Transactions on Education, IEEE software, Communications of the ACM, Healthcare Management Science, Data and Knowledge Engineering, The DATABASE for Advances in Information Systems, Information Systems Journal, and Journal of Information Systems and E-Business Management. He is also the editor-in-chief of the International Journal of Intelligent Information Technologies and also serves on the editorial board of eight other journals. He was the Program Co-Chair for the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, NLDB 2013, NLDB 2016, NLDB 2019, and NLDB 2023). He was also the Chair of Intelligent Information Systems track for the Information Resources Management Association International Conference (IRMA 2001, 2002, 2005 - 2007) and the Intelligent Agent and Multi-Agent Systems in Business mini-track for Americas Conference on Information Systems (AMCIS 1999 - 2023). He served as Program Co-Chair for the 14th Workshop on E-Business (WeB2015), 29th Australasian Conference on Information Systems (ACIS 2018), 14th Annual Conference of Midwest Association for Information Systems (MWAIS 2019), 5th IEEE International Conference on Big Data Service and Applications (BDS 2019), and 2022 Midwest Decision Sciences Institute Annual Conference (MWDSI 2022). He also served as Chair of the E-Commerce track for Decision Science Institute’s Annual Conference, 2004. He was the Information Technology Coordinator for the Decision Sciences Institute from 2007 to 2010. He also regularly serves as a program committee member for numerous national and international conferences.
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