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{ "item_title" : "Engineering Effective Decision Support Technologies", "item_author" : [" Daniel J. Power "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/46/664/002/1466640022_b.jpg", "price_data" : { "retail_price" : "195.00", "online_price" : "195.00", "our_price" : "195.00", "club_price" : "195.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Engineering Effective Decision Support Technologies|Daniel J. Power

Engineering Effective Decision Support Technologies : New Models and Applications

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Overview

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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Details

  • ISBN-13: 9781466640023
  • ISBN-10: 1466640022
  • Publisher: Igi Global Scientific Publishing
  • Publish Date: May 2013
  • Dimensions: 11 x 8.5 x 0.81 inches
  • Shipping Weight: 2.38 pounds
  • Page Count: 342

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