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Dan Power

Greetings to all of my friends who work in the area of computerized decision support. This blog is a way for me to share stories from my encounters related to decision support, to comment on industry events, and to comment on other blogger's comments, especially those of my friends on the Business Intelligence Network. I'll try to state my opinions clearly and provide an old professor's perspective on how computers and information technology are changing the world. Decision making has always been my focus, and it will be in this blog as well. Your comments, feedback and questions are welcomed.

About the author >

Daniel J. "Dan" Power is a Professor of Information Systems and Management at the College of Business Administration at the University of Northern Iowa and the editor of DSSResources.com, the Web-based knowledge repository about computerized systems that support decision making; the editor of PlanningSkills.com; and the editor of DSS News, a bi-weekly e-newsletter. Dr. Power's research interests include the design and development of decision support systems and how these systems impact individual and organizational decision behavior.

Editor's Note: More articles and resources are available in Dan's BeyeNETWORK Expert Channel. Be sure to visit today!

May 2012 Archives

by Dan Power
Editor, DSSResources.com 

Software and system designers can use a number of differing technologies to build a system to automate decision making. Technologies range from very simple to complex and the inputs may be one or a few values to many values based on queries of a database. Designers need to be familiar with the range of technologies and distinct benefits and limitations of each. With decision automation it is easy to focus on one technology like business rules and ignore other possibilities that may have different implementation trade-offs. Quantitative models, heuristics, IF-THEN rules, statistical approaches and other Artificial Intelligence technologies can all potentially be used to build a decision automation system. 


Power, D., What technologies are used for decision automation?  DSS News, Vol. 13, No. 11, May 27, 2012.

Posted May 30, 2012 5:22 AM
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by Dan Power
Editor, DSSResources.com 


Acceptance is an important issue when implementing decision support capabilities especially those that are expensive, novel and/or innovative. Developers and managers want users to have a favorable reaction to a new capability. Sadly acceptance is not always the response. Expensive software is sometimes hostily received, little used or "worked around." Acceptance of change can be grudging and even coerced or at the other extreme enthusiastically received and welcomed. Developers should seek cooperation and approval rather than compliance and acquiescence. How can positive acceptance be achieved? In a worst case, how can grudging acceptance be achieved?
Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=242

from DSS News

Posted May 13, 2012 5:50 PM
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by Dan Power
Editor, DSSResources.com 


In multiparty decision situations, one party often has better information than another. These situations commonly involve a purchase/sales transaction or a principal agent situation where a person acts on behalf of another and the principal attempts to monitor and control the agent. Information symmetry means all parties in a decision situation have the same information. Information asymmetry involves decisions in transactions where one party has more or better information. Providing complete information symmetry or what has been called "transparency" is probably impossible, but the goal is often to strive for transparency and information symmetry. Supposedly with the same information, the decisions of the parties will be better.

Posted May 2, 2012 5:42 AM
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