“An Empirical Study of the Determinants of Backorder Aging: The Case of the Missing National Item Identification Numbers (NIINs),” by James Rodger, Pankaj, and Micki Hyde, will be published in the June 2009 edition of the Journal of Global Management Research.
The importance of supply chain management (SCM) cannot be overemphasized. SCM is the tracking and coordination of the flow of material, information, and finance in the supplier-customer network. In this paper, we present an empirical study of the determinants of backorder aging for the Battlefield Breakout Backorder Initiative (B3I) that studies the effects of the flow of material, information, and finance through the main supply chain agents: supplier, manufacturer, assembler, distributor, retailer, and customer. Since supply chains are complex systems prone to uncertainty, statistical analysis is a useful tool to capture their dynamics. Using statistical analysis of acquisition history data and case study reports, regression analysis was employed to predict backorder aging using National Item Identification Numbers (NIINs) as unique identifiers. Over 56,000 NIINs were identified and utilized for our analysis. The results of this research lead us to conclude that it is statistically feasible to predict whether an individual NIIN has a propensity to become a backordered item.