| Supply chain managers face increasing challenges to incorporate data from suppliers, customers, competitors, and internal processes in a format to aid decision making. As information management systems are developed to condense, contextualize, and calculate the critical decision variables for a firm, there is a significant risk of creating inaccuracies as the data is processed.;This study investigates the impact of variations in the accuracy of decision information systems and completeness of data on managerial performance within a supply chain management system. The Supply Chain Decision Operations Environment simulation was adapted to provide a platform for this experiment. After randomly assigning participants to one of four categories of corrected/uncorrected information and condensed/uncondensed data, users executed several weeks of a simulated supply chain operation. The final performance measures include raw material inventory status, internal production efficiency, finished goods inventory status, market fulfillment rate, net profit, and supply chain contribution to profit.;The accuracy of the information system had the most significant impact on the performance of the managers and is recommended as the most critical investment opportunity for information technology. Additional recommendations include key decision variables under varying degrees of information system accuracy. |
