Engineering Effective Decision Support Technologies

New Models and Applications

Nonfiction, Computers, Programming, Systems Analysis, Business & Finance, Industries & Professions, Information Management, General Computing
Cover of the book Engineering Effective Decision Support Technologies by , IGI Global
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Author: ISBN: 9781466640054
Publisher: IGI Global Publication: May 31, 2013
Imprint: Engineering Science Reference Language: English
Author:
ISBN: 9781466640054
Publisher: IGI Global
Publication: May 31, 2013
Imprint: Engineering Science Reference
Language: English
In modern, information-centric business environments, Decision Making Support Systems (DMSS) present a critical consideration for any organization serious about maintaining competitive advantage. Advances in information systems, knowledge management technologies, and other decision support systems necessitate a critical understanding of the latest trends and research. Engineering Effective Decision Support Technologies: New Models and Applications presents a collection of the latest research in DMSS and applies those theoretical considerations to best practices in the field. This reference includes empirical case studies and an analysis of new models and perspectives in knowledge management, promoting discussion of DMSS strategies among managers, researchers, and students of information science.
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In modern, information-centric business environments, Decision Making Support Systems (DMSS) present a critical consideration for any organization serious about maintaining competitive advantage. Advances in information systems, knowledge management technologies, and other decision support systems necessitate a critical understanding of the latest trends and research. Engineering Effective Decision Support Technologies: New Models and Applications presents a collection of the latest research in DMSS and applies those theoretical considerations to best practices in the field. This reference includes empirical case studies and an analysis of new models and perspectives in knowledge management, promoting discussion of DMSS strategies among managers, researchers, and students of information science.

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