Supply-chain coordination relies on the availability of prompt and accurate information that is visible to all actors in the supply chain. However, new demands on the supply-chain system require changes to information flow and exchange. We undertake a case study of three automotive supply chains that face such new demands resulting from the introduction of an order-driven supply-chain strategy. We use our case study findings to evaluate the applicability of three different theoretical lenses on the multi-faceted interactions between information, physical flow, and the complex rationales driving supply-chain evolution: the resource-based view (RBV), the concept of complex adaptive systems (CAS), and adaptive structuration theory (AST). We find that each theory has a separate realm of applicability and while complimentary in nature, provides distinct insight on the structural shift in the supply-chain system. More specifically, we find that AST, a theory prominent in the social sciences, provides novel insights to supply-chain research at the firm level, particularly with respect to the difficulties in using IT systems to drive systemic change. It complements both the system-level perspective offered by the complex adaptive systems theory, as well as the concept of dynamic capabilities originating in the resourced-based view. The paper concludes with wider implications for future research in supply and value chain management. #
Coordination across tiers in the systemManufacturing and logistics operations are increasingly driven by customer needs rather than forecasts, increasing the importance of demand and inventory information visibility across the supply chain (Gunasekaran, 2005). However, supply chains are complex systems, and the assumption that organizations across tiers in the supply chain interact and behave as a unified entity with a common purpose is often violated (Choi et al., 2001). As a result, there is a great interest in the operations management (OM) literature in the coordinating mechanisms and the associated information technology (IT) systems that facilitate supply-chain integration and coordination, especially with respect to control and connectivity (Mukhopadhyay et al., 1997;Lee et al., 2000;Ye and Farley, 2006). At the same time, researchers in the supply-chain arena have noted the importance of considering cultural, organizational, and path dependence challenges in attaining IT system shifts, such as those needed to bring about customer responsiveness (Choi and Liker, 2002;Lewis and Suchan, 2003).We undertake a qualitative exploration of the IT and information challenges associated with moving to a customer-driven order-to-delivery model in three