The purpose of this research is to explore the relationship of types of supply chain decisions, types of information and types of digital technologies in order to reduce uncertainty in supply chain operations in manufacturing companies. This study has several key findings including that the majority of information is not systematically captured by organisations. On the theoretical side this research extends information processing theory into digital supply chain research, develops a taxonomy for information processing needs and demonstrates the adequacy of digital technologies as enabler of information processing capacity. The practical contributions include the allocation of particular information to supply chain decisions as well as information capturing mechanisms, which will enable companies to quicker access required information for decision-making.