The future of decision making How revolutionary software can improve the ability to decide /

We now possess the capability to make great business decisions in even the most difficult situations with the use of today's advanced software capability. The authors, who are experts in the field, explain the new science of decision-making and offer examples and advice that will enable readers...

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Bibliographic Details
Main Authors: Schank, Roger C
Group Author: Lyras, Dimitris; Soloway, Elliot
Published:
Literature type: Electronic Software eBook
Language: English
Subjects:
Online Access: http://www.palgraveconnect.com/doifinder/10.1057/9780230110397
Summary: We now possess the capability to make great business decisions in even the most difficult situations with the use of today's advanced software capability. The authors, who are experts in the field, explain the new science of decision-making and offer examples and advice that will enable readers put it to use in their organizations.
"As the world gets more complex and demanding, fast-paced decision-making becomes the difference between success or obsolescence. A new software design concept to facilitate our decision-making may be the next 'big thing'. The authors present a compelling argument and case history to support an assertion that the next "big thing" has already arrived." - Richard Sheridan, CEO, Menlo Innovations "There are many books on business decision making, and some are reasonably good; however, no other book matches this one in breadth of vision and will be uniquely valuable to organizations that live or
Item Description: Electronic book text.
Epublication based on: 9780230103658, 2010.
Carrier Form: 224 p.
ISBN: 9780230103658
9780230110397 :
0230110398 :
CLC: F715
Contents: Introduction * A NEW DECISION-MAKING MODEL* Don't Follow the Rules, But Do Embrace Case-Based Reasoning * Why It Matters: Greater Profit through Better Choices * Software Based On the Science of Decision-Making: Tools Organizations Can Use * THE SOFTWARE ARGUMENT * Identify and Design Around the Pain Points * Gather and Index the Right Stories and Expertise * The Prototype * IMPLEMENTATION:PROBLEMS AND POSSIBILITIES * The Human Factor: Reflect the Particular Cognitive and Emotional Responses of Users * Emphasize Cause-And-Effect over Precision Analysis * Obstacles and Opportunities.