Decision Engineering is a framework that unifies a number of
best practices for organizational
decision making. It is based on the recognition that, in many organizations, decision making could be improved if a more structured approach were used. Decision engineering seeks to overcome a decision making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision making practices and the complexity of situations in which those decisions must be made. As such, it seeks to solve some of the issues identified around
complexity theory and organizations. In this sense, Decision Engineering represents a practical application of the field of
complex systems, which helps organizations to navigate the complex systems in which they find themselves.
Despite the availability of advanced process, technical, and organizational
decision making tools, decision engineering proponents believe that many organizations continue to make poor decisions. In response, decision engineering seeks to unify a number of decision making
best practices, creating a shared discipline and language for decision making that crosses multiple industries, both public and private organizations, and that is used worldwide.[SUP]
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