This essay examines the role of computational support in decision-making, drawing on the work of Mintzberg and Turban. It discusses how computational tools, such as statistics, data visualization, and heuristics, aid managers in making informed decisions by providing context, validating intuitive thinking, and assigning tangible values to abstract concepts. The essay emphasizes the importance of balancing normative and descriptive decision-making approaches and acknowledges the limitations of human rationality in complex decision environments. It highlights how computational support leverages organizational information systems to enhance decision confidence and accuracy, ultimately contributing to better outcomes in business and other fields. The essay also references various sources to support its claims.
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