Organizational Efficiency through Intelligent Information Technologies

Organizational Efficiency through Intelligent Information Technologies

Vijayan Sugumaran (Oakland University, USA)
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 Biographies
Vijayan Sugumaran is Distinguished Professor of Management Information Systems and Chair of the Department of Decision and Information Sciences at Oakland University, Rochester, Michigan, USA. He is also the 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. His research interests are in the areas of Big Data Management and Analytics, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems. He has published over 260 peer-reviewed articles in Journals, Conferences, and Books. He has edited twenty books and serves on the Editorial Board of eight journals. He has published in top-tier journals such as Information Systems Research, ACM Transactions on Database Systems, Communications of the ACM, IEEE Transactions on Big Data, IEEE Transactions on Engineering Management, IEEE Transactions on Education, and IEEE Software. Dr. Sugumaran is the editor-in-chief of the International Journal of Intelligent Information Technologies (IJIIT). He is the Chair of the Intelligent Agent and Multi-Agent Systems mini-track for Americas Conference on Information Systems (AMCIS 1999–2021). Dr. Sugumaran has served as the Program Chair for the 14th Workshop on E-Business (WeB2015), the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, NLDB 2013, NLDB 2016, and NLDB 2019), 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 regularly serves as a program committee member for numerous national and international conferences.

Website: http://www.sba.oakland.edu/faculty/sugumara
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