Formulation of a Decision Support Model Using Quality Attributes

Today’s managers are required to make decisions in a techno-complex rapid decision-making environment. This environment is data and information based which requires that managers have tools based on data and information quality (DIQ) to supplement their decision-making activities. The researchers propose a decision support paradigm based on Multi-Attribute Utility Theory (MAUT) that employs a DIQ model to represent attributes. Representing attributes by using an MAUT implementation with a DIQ model facilitates the collection of importance weightings and expected utility for DIQ driven decisions. The basis of the proposed DSS framework, the Q Function, provides a Q Value that represents the multi-attribute utility of decision choices weighted by relative importance.